# kb

id: social-science-20260505-7
file: data/en.wikipedia.org/wiki/Social_science-7.md
category: reference
title: Social science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Social_science
date_saved: 2026-05-05T03:23:42.932648+00:00
instance: kb-cron
parent: social-science-20260505-0
summary:
== Bibliography == Michie, Jonathan, ed. Reader's Guide to the Social Sciences (2 vol. 2001) 1970 pages annotating the major topics in the late 20th century in all the social sciences. === 20th and 21st centuries sources === Neil J. Smelser and Paul B. Baltes (2001). International Encyclopedia of the Social & Behavioral Sciences, Amsterdam: Elsevier. Byrne, D.S. (1998). Complexity theory and the social sciences: an introduction. Routledge. ISBN 978-0-415-16296-8 Kuper, A., and Kuper, J. (1985). The Social Science Encyclopedia. London: Routledge & Kegan Paul. (ed., a limited preview of the 1996 version is available) Lave, C.A., and March, J.G. (1993). An introduction to models in the social sciences. Lanham, Md: University Press of America. Perry, John and Erna Perry. Contemporary Society: An Introduction to Social Science (12th Edition, 2008), college textbook Potter, D. (1988). Society and the social sciences: An introduction. London: Routledge [u.a.]. David L. Sills and Robert K. Merton (1968). International Encyclopedia of the Social Sciences. Seligman, Edwin R.A. and Alvin Johnson (1934). Encyclopedia of the Social Sciences. (13 vol.) Ward, L.F. (1924). Dynamic sociology, or applied social science: As based upon statical sociology and the less complex sciences. New York: D. Appleton. Leavitt, F.M., and Brown,


id: branches-of-science-20260505-0
file: data/en.wikipedia.org/wiki/Branches_of_science-0.md
category: reference
title: Branches of science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Branches_of_science
date_saved: 2026-05-05T03:23:44.694631+00:00
instance: kb-cron
parent: branches-of-science-20260505-0
summary:
The branches of science, also referred to as sciences, scientific fields or scientific disciplines, are commonly divided into three major groups: Formal sciences: the study of formal systems, such as those under the branches of logic and mathematics, which use an a priori, as opposed to empirical, methodology. They study abstract structures described by formal systems. Natural sciences: the study of natural phenomena (including cosmological, geological, physical, chemical, and biological factors of the universe). Natural science can be divided into two main branches: physical science and life science. Social sciences: the study of human behavior in its social and cultural aspects. Scientific knowledge must be grounded in observable phenomena and must be capable of being verified by other researchers working under the same conditions. Natural, social, and formal science make up the basic sciences, which form the basis of interdisciplinarity - and applied sciences such as engineering and medicine. Specialized scientific disciplines that exist in multiple categories may include parts of other scientific disciplines but often possess their own terminologies and expertises. == Formal sciences == The formal sciences are the branches of science that are concerned with formal systems, such as logic, mathematics, theoretical computer science, information theory, systems


id: branches-of-science-20260505-1
file: data/en.wikipedia.org/wiki/Branches_of_science-1.md
category: reference
title: Branches of science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Branches_of_science
date_saved: 2026-05-05T03:23:44.694631+00:00
instance: kb-cron
parent: branches-of-science-20260505-0
summary:
TCS covers a wide variety of topics including algorithms, data structures, computational complexity, parallel and distributed computation, probabilistic computation, quantum computation, automata theory, information theory, cryptography, program semantics and verification, machine learning, computational biology, computational economics, computational geometry, and computational number theory and algebra. Work in this field is often distinguished by its emphasis on mathematical technique and rigor. == Natural sciences == Natural science is a branch of science concerned with the description, prediction, and understanding of natural phenomena, based on empirical evidence from observation and experimentation. Mechanisms such as peer review and repeatability of findings are used to try to ensure the validity of scientific advances. Natural science can be divided into two main branches: life science and physical science. Life science is alternatively known as biology, and physical science is subdivided into branches: physics, chemistry, astronomy and Earth science. These branches of natural science may be further divided into more specialized branches (also known as fields). === Physical science === Physical science is an encompassing term for the branches of natural science that study non-living systems, in contrast to the life sciences. However, the term "physical" creates an unintended, somewhat arbitrary distinction, since many branches of physical


id: branches-of-science-20260505-2
file: data/en.wikipedia.org/wiki/Branches_of_science-2.md
category: reference
title: Branches of science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Branches_of_science
date_saved: 2026-05-05T03:23:44.694631+00:00
instance: kb-cron
parent: branches-of-science-20260505-0
summary:
Life science, also known as biology, is the natural science that studies life such as microorganisms, plants, and animals including human beings, – including their physical structure, chemical processes, molecular interactions, physiological mechanisms, development, and evolution. Despite the complexity of the science, certain unifying concepts consolidate it into a single, coherent field. Biology recognizes the cell as the basic unit of life, genes as the basic unit of heredity, and evolution as the engine that propels the creation and extinction of species. Living organisms are open systems that survive by transforming energy and decreasing their local entropy to maintain a stable and vital condition defined as homeostasis. ==== Biochemistry ==== Biochemistry, or biological chemistry, is the study of chemical processes within and relating to living organisms. It is a sub-discipline of both biology and chemistry, and from a reductionist point of view it is fundamental in biology. Biochemistry is closely related to molecular biology, cell biology, genetics, and physiology. ==== Microbiology ==== Microbiology is the study of microorganisms, those being unicellular (single cell), multicellular (cell colony), or acellular (lacking cells). Microbiology encompasses numerous sub-disciplines including virology, bacteriology, protistology, mycology, immunology and parasitology. ==== Botany ==== Botany, also called plant science(s),


id: scientist-20260505-0
file: data/en.wikipedia.org/wiki/Scientist-0.md
category: reference
title: Scientist
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Scientist
date_saved: 2026-05-05T03:23:46.187637+00:00
instance: kb-cron
parent: scientist-20260505-0
summary:
A scientist is an expert who conducts scientific research to advance knowledge in science. In classical antiquity, there was no real ancient analog of a modern scientist. Instead, philosophers engaged in the philosophical study of nature called natural philosophy. Though Thales (c. 624–545 BC) was arguably the first scientist for describing how cosmic events may be seen as natural, not necessarily caused by gods, it was not until the 19th century that the term scientist came into regular use: it was coined by the theologian, philosopher, and historian of science Wang Zhenyi and William Whewell to describe Mary Somerville. == History == The roles of "scientists", and their predecessors before the emergence of modern scientific disciplines, have evolved considerably over time. Scientists of different eras (and before them, natural philosophers, mathematicians, natural historians, natural theologians, engineers, and others who contributed to the development of science) have had widely different places in society, and the social norms, ethical values, and epistemic virtues associated with scientists—and expected of them—have changed over time as well. Accordingly, many different historical figures can be identified as early scientists, depending on which characteristics of modern science are taken to be essential. Some historians point to the


id: scientist-20260505-1
file: data/en.wikipedia.org/wiki/Scientist-1.md
category: reference
title: Scientist
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Scientist
date_saved: 2026-05-05T03:23:46.187637+00:00
instance: kb-cron
parent: scientist-20260505-0
summary:
=== 19th century === Until the late 19th or early 20th century, scientists were commonly referred to as "natural philosophers" or "men of science". English philosopher and historian of science William Whewell coined the term scientist in 1833. It first appeared in print in his anonymous 1834 review of Mary Somerville's On the Connexion of the Physical Sciences, published in the Quarterly Review. In the review, Whewell discussed what he described as an increasing tendency toward specialization within the sciences. As highly specific terms such as chemist, mathematician, and naturalist became common, the broader term philosopher no longer adequately described those engaged in scientific study. Whewell contrasted this trend with Somerville's aim of demonstrating how distinct branches of science had historically been unified through general principles. Whewell reported that members of the British Association for the Advancement of Science had expressed concern over the absence of a suitable collective term for "students of the knowledge of the material world." Referring indirectly to himself, he noted that "some ingenious gentleman" had proposed the word scientist by analogy with artist, arguing that similar formations such as economist and atheist were already in use. The suggestion, however, was not immediately well received. Whewell


id: scientist-20260505-2
file: data/en.wikipedia.org/wiki/Scientist-2.md
category: reference
title: Scientist
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Scientist
date_saved: 2026-05-05T03:23:46.187637+00:00
instance: kb-cron
parent: scientist-20260505-0
summary:
==== Research interests ==== Scientists include experimentalists who mainly perform experiments to test hypotheses, and theoreticians who mainly develop models to explain existing data and predict new results. There is a continuum between the two activities and the division between them is not clear-cut, with many scientists performing both tasks. Those considering science as a career often look to the frontiers. These include cosmology and biology, especially molecular biology and the human genome project. Other areas of active research include the exploration of matter at the scale of elementary particles as described by high-energy physics, and materials science, which seeks to discover and design new materials. Others choose to study brain function and neurotransmitters, which is considered by many to be the "final frontier". There are many important discoveries to make regarding the nature of the mind and human thought, much of which still remains unknown. === By specialization === ==== Natural science ==== ===== Physical science ===== ===== Life science ===== ==== Social science ==== ==== Formal science ==== ==== Applied ==== ==== Interdisciplinary ==== === By employer === Academic Independent scientist Industrial/applied scientist Citizen scientist Government scientist == Demography == === By country === The number of scientists


id: namara-catherine-misango-20260505-0
file: data/en.wikipedia.org/wiki/Namara_Catherine_Misango-0.md
category: reference
title: Namara Catherine Misango
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Namara_Catherine_Misango
date_saved: 2026-05-05T03:23:47.535229+00:00
instance: kb-cron
parent: namara-catherine-misango-20260505-0
summary:
Namara Catherine Misango is a Ugandan medical doctor and researcher who specializes in emergency medicine. == Early life == Misango was born to Ibrahim Misango and Shirley Misango. Her academic life started at Green Hill Academy in the Uganda's central region. She received a scholarship from the Daily Monitor which earned her a free ordinary level education at Mount Saint Mary's College Namagunga from 2011 to 2014. She earned a scholarship from New Vision to continue in the same school, where she opted for the subject combination of physics, chemistry and biology aka PCB. She received a sponsorship to study at Makerere University, where she earned a Bachelor of Medicine and Surgery. She again got another sponsorship to do Master of Medicine in Emergency Medicine at Makerere University where Seed Global Health helped to pay for tuition, and research. Where still at her first degree course at Makerere University, she got an opportunity to study at Magna Graecia University in Italy on sponsorship, where she was able to compare the Italian medical system with that of Uganda. === Career === Misango started work at Aga Khan University Hospital as an intern doctor. == References ==


id: science-and-technology-studies-20260505-0
file: data/en.wikipedia.org/wiki/Science_and_technology_studies-0.md
category: reference
title: Science and technology studies
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Science_and_technology_studies
date_saved: 2026-05-05T03:23:49.104429+00:00
instance: kb-cron
parent: science-and-technology-studies-20260505-0
summary:
Science and technology studies (STS) or science, technology, and society is an interdisciplinary field that examines the creation, development, and consequences of science and technology in their historical, cultural, and social contexts. == History == Like most interdisciplinary fields of study, STS emerged from the confluence of disciplines and disciplinary subfields, all of which had developed an interest—typically, during the 1960s or 1970s—in viewing science and technology as socially embedded enterprises. The key disciplinary components of STS took shape independently, beginning in the 1960s, and developed in isolation from each other well into the 1980s, although Ludwik Fleck's (1935) monograph Genesis and Development of a Scientific Fact anticipated many of STS's key themes. In the 1970s Elting E. Morison founded the STS program at the Massachusetts Institute of Technology (MIT), which served as a model. By 2011, 111 STS research centers and academic programs were counted worldwide. === Important key points === History of technology, that examines technology in its social and historical context. Starting in the 1960s, some historians questioned technological determinism, a doctrine that can induce public passivity to technologic and scientific "natural" development. At the same time, some historians began to develop similarly contextual approaches to the


id: science-and-technology-studies-20260505-1
file: data/en.wikipedia.org/wiki/Science_and_technology_studies-1.md
category: reference
title: Science and technology studies
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Science_and_technology_studies
date_saved: 2026-05-05T03:23:49.104429+00:00
instance: kb-cron
parent: science-and-technology-studies-20260505-0
summary:
Social constructions are human-created ideas, objects, or events created by a series of choices and interactions. These interactions have consequences that change the perception that different groups of people have on these constructs. Some examples of social construction include class, race, money, and citizenship. The following also alludes to the notion that not everything is set, a circumstance or result could potentially be one way or the other. According to the article "What is Social Construction?" by Ian Hacking, "Social construction work is critical of the status quo. Social constructionists about X tend to hold that: X need not have existed, or need not be at all as it is. X, or X as it is at present, is not determined by the nature of things; it is not inevitable Very often they go further, and urge that: X is quite as bad as it is. We would be much better off if X were done away with, or at least radically transformed." In the past, there have been viewpoints that were widely regarded as fact until being called to question due to the introduction of new knowledge. Such viewpoints include the past concept of a correlation between intelligence and


id: science-and-technology-studies-20260505-2
file: data/en.wikipedia.org/wiki/Science_and_technology_studies-2.md
category: reference
title: Science and technology studies
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Science_and_technology_studies
date_saved: 2026-05-05T03:23:49.104429+00:00
instance: kb-cron
parent: science-and-technology-studies-20260505-0
summary:
Social technical systems are an interplay between technologies and humans, this is clearly expressed in the sociotechnical systems theory. To expound on this interplay, humans fulfill and define tasks, then humans in companies use IT and IT supports people, and finally, IT processes tasks and new IT generates new tasks. This IT redefines work practices. This is what we call the sociotechnical systems. In socio-technical systems, there are two principles to internalize, that is joint optimization and complementarity. Joint optimization puts an emphasis on developing both systems in parallel and it is only in the interaction of both systems that the success of an organization arises. The principle of complementarity means that both systems have to be optimized. If you focus on one system and have bias over the other it will likely lead to the failure of the organization or jeopardize the success of a system. Although the above socio-technical system theory is focused on an organization, it is undoubtedly imperative to correlate this theory and its principles to society today and in science and technology studies. Understanding technology in the context of national development: critical reflections discusses how governance frameworks, digital infrastructure, and institutional capacity influence the societal


id: science-and-technology-studies-20260505-3
file: data/en.wikipedia.org/wiki/Science_and_technology_studies-3.md
category: reference
title: Science and technology studies
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Science_and_technology_studies
date_saved: 2026-05-05T03:23:49.104429+00:00
instance: kb-cron
parent: science-and-technology-studies-20260505-0
summary:
==== Examples ==== Ford Pinto – Ford Motor Company sold and produced the Pinto during the 1970s. A flaw in the automobile design of the rear gas tank caused a fiery explosion upon impact. The exploding fuel tank killed and injured hundreds of people. Internal documents of test results proved Ford CEO Lee Iacocca and engineers were aware of the flaw. The company decided to ignore improving its technology because of profit-driven motives, strict internal control, and competition from foreign competitors such as Volkswagen. Ford Motor Company conducted a cost-benefit analysis to determine if altering the Ford Pinto model was feasible. An analysis conducted by Ford employees argued against a new design because of increased cost. Employees were also under tight control by the CEO who rushed the Pinto through production lines to increase profits. Ford finally changed after public scrutiny. Safety organizations later influenced this technology by requiring stricter safety standards for motor vehicles. DDT/toxins – DDT was a common and highly effective insecticide used during the 1940s until its ban in the early 1970s. It was utilized during World War 2 to combat insect-borne human diseases that plagued military members and civilian populations. People and companies soon realized


id: science-and-technology-studies-20260505-4
file: data/en.wikipedia.org/wiki/Science_and_technology_studies-4.md
category: reference
title: Science and technology studies
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Science_and_technology_studies
date_saved: 2026-05-05T03:23:49.104429+00:00
instance: kb-cron
parent: science-and-technology-studies-20260505-0
summary:
==== Importance ==== Recently, there has been a movement towards greater transparency in the fields of policy and technology. Jasanoff comes to the conclusion that there is no longer a question of if there needs to be increased public participation in making decisions about science and technology, but now there need to be ways to make a more meaningful conversation between the public and those developing the technology. ==== In practice ==== Bruce Ackerman and James S. Fishkin offered an example of a reform in their paper "Deliberation Day." The deliberation is to enhance public understanding of popular, complex and controversial issues through devices such as Fishkin's deliberative polling, though implementation of these reforms is unlikely in a large government such as that of the United States. However, things similar to this have been implemented in small, local governments like New England towns and villages. New England town hall meetings are a good example of deliberative democracy in a realistic setting. An ideal deliberative democracy balances the voice and influence of all participants. While the main aim is to reach consensus, deliberative democracy should encourage the voices of those with opposing viewpoints, concerns due to uncertainties, and questions about assumptions


id: science-and-technology-studies-20260505-5
file: data/en.wikipedia.org/wiki/Science_and_technology_studies-5.md
category: reference
title: Science and technology studies
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Science_and_technology_studies
date_saved: 2026-05-05T03:23:49.104429+00:00
instance: kb-cron
parent: science-and-technology-studies-20260505-0
summary:
Langdon Winner states that groups and social interests likely to be affected by a particular kind of technological change ought to be represented at an early stage in defining exactly what that technology will be. It is the idea that relevant parties have a say in technological developments and are not left in the dark. Spoken about by Massimiano Bucchi This ideal does not require the public to become experts on the topics of science and engineering, it only asks that the opinions and ideas be heard before making drastic decisions, as talked about by Steven L. Goldman. === Legacy thinking === Legacy thinking is defined as an inherited method of thinking imposed from an external source without objection by the individual because it is already widely accepted by society. Legacy thinking can impair the ability to drive technology for the betterment of society by blinding people to innovations that do not fit into their accepted model of how society works. By accepting ideas without questioning them, people often see all solutions that contradict these accepted ideas as impossible or impractical. Legacy thinking tends to advantage the wealthy, who have the means to project their ideas on the public. It


id: science-and-technology-studies-20260505-6
file: data/en.wikipedia.org/wiki/Science_and_technology_studies-6.md
category: reference
title: Science and technology studies
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Science_and_technology_studies
date_saved: 2026-05-05T03:23:49.104429+00:00
instance: kb-cron
parent: science-and-technology-studies-20260505-0
summary:
== Academic programs == STS is taught in several countries. According to the STS wiki, STS programs can be found in twenty countries, including 45 programs in the United States, three programs in India, and eleven programs in the UK. STS programs can be found in Canada, Germany, Israel, Malaysia, and Taiwan. Some examples of institutions offering STS programs are Stanford University, University College London, Harvard University, the University of Oxford, Mines ParisTech, Bar-Ilan University, and York University. In Europe the European Inter-University Association on Society, Science and Technology (ESST) offers an MA degree in STS through study programs and student exchanges with over a dozen specializations. == Professional associations == The field has professional associations in regions and countries around the world. === In Europe === In Europe, the European Association for the Study of Science and Technology (EASST) was founded in 1981 to "improve scholarly communication and exchange in the field", "increase the visibility of the subject to policy-makers and to the general public", and "stimulate and support teaching on the subject at all levels". Similarly, the European Inter-University Association on Society, Science and Technology (ESST) researches and studies science and technology in society, in both historical and


id: science-and-technology-studies-20260505-7
file: data/en.wikipedia.org/wiki/Science_and_technology_studies-7.md
category: reference
title: Science and technology studies
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Science_and_technology_studies
date_saved: 2026-05-05T03:23:49.104429+00:00
instance: kb-cron
parent: science-and-technology-studies-20260505-0
summary:
== Further reading == Bauchspies, Wenda; Croissant, Jennifer; Restivo, Sal (2005). Science, Technology, and Society: A Sociological Approach. Wiley-Blackwell. ISBN 978-0-631-23210-0. Bijker, Wiebe; Hughes, Thomas; Pinch, Trevor, eds. (1987). The Social Construction of Technological Systems: New Directions in the Sociology and History of Technology. Cambridge, MA: MIT Press. ISBN 978-0-262-02262-0. Felt, Ulrike; Fouché, Rayvon; Miller, Clark A.; Smith-Doerr, Laruel, eds. (2017). The Handbook of Science and Technology Studies (4th ed.). Cambridge, MA: MIT Press. ISBN 978-0-262-03568-2. Fuller, Steve (1993). Philosophy, Rhetoric, and the End of Knowledge: The Coming of Science and Technology Studies. Madison, WI: University of Wisconsin Press. (2nd edition, with James H. Collier, Lawrence Erlbaum Associates, 2004) Hess, David J. (1997). Science Studies: An Advanced Introduction. New York: NYU Press. ISBN 978-0-8147-3564-0. Jasanoff, Sheila; Markle, Gerald; Petersen, James; Pinch, Trevor, eds. (1994). Handbook of Science and Technology Studies. Thousand Oaks, CA: Sage. ISBN 978-0-8039-4021-5. Kuhn, Thomas (1962). The structure of scientific revolutions. Chicago: University of Chicago Press. Latour, Bruno (1987). Science in action: How to follow scientists and engineers through society. Cambridge, Massachusetts: Harvard University Press. Restivo, Sal, ed. (2005). Science, Technology, and Society: An Encyclopedia. New York: Oxford University Press. ISBN 978-0-19-514193-1. Guglielmo Rinzivillo (2020), Raccontare la


id: abc-home-20260505-0
file: data/en.wikipedia.org/wiki/ABC@Home-0.md
category: reference
title: ABC@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/ABC@Home
date_saved: 2026-05-05T03:23:54.389128+00:00
instance: kb-cron
parent: abc-home-20260505-0
summary:
ABC@Home was an educational and non-profit network computing project finding abc-triples related to the abc conjecture in number theory using the Berkeley Open Infrastructure for Network Computing (BOINC) volunteer computing platform. In March 2011, there were more than 7,300 active participants from 114 countries with a total BOINC credit of more than 2.9 billion, reporting about 10 teraflops (10 trillion operations per second) of processing power. In 2011, the project met its goal of finding all abc-triples of at most 18 digits. By 2015, the project had found 23.8 million triples in total, and ceased operations soon after. == See also == List of volunteer computing projects == References == == External links == The Mathematical Institute of Leiden University


id: africa-home-20260505-0
file: data/en.wikipedia.org/wiki/Africa@home-0.md
category: reference
title: Africa@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Africa@home
date_saved: 2026-05-05T03:23:55.583300+00:00
instance: kb-cron
parent: africa-home-20260505-0
summary:
Africa@home is a website that allow users to use their home computers to contribute for humanitarian causes at Africa. This project first went public on 13 July 2006. It partners with Swiss Tropical Institute, the University of Geneva, CERN, and ICVolunteers (ICV). It is sponsored by the Geneva International Academic Network (GIAN). Africa@home together with ICVolunteers, recruited volunteers across Africa to help with the project. The Malaria Control Project (MCP) was the first and the only volunteer computing project run by Africa@home. MCP ran for 10 years and became inactive since 21 June 2016. == See also == Malaria Control Project List of volunteer computing projects Berkeley Open Infrastructure for Network Computing (BOINC) Volunteer computing Grid computing Geneva International Academic Network == References ==


id: andrei-sakharov-prize-aps-20260505-0
file: data/en.wikipedia.org/wiki/Andrei_Sakharov_Prize_(APS)-0.md
category: reference
title: Andrei Sakharov Prize (APS)
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Andrei_Sakharov_Prize_(APS)
date_saved: 2026-05-05T03:23:56.798331+00:00
instance: kb-cron
parent: andrei-sakharov-prize-aps-20260505-0
summary:
The Andrei Sakharov Prize is a prize that is to be awarded every two years by the American Physical Society since 2006. The recipients are chosen for "outstanding leadership and/or achievements of scientists in upholding human rights." It is named after Andrei Sakharov (1921-1989), a Soviet nuclear physicist, dissident, and human rights activist. Since 2007, it has been valued at $10,000. The first Sakharov Prize was awarded to physicist and former Soviet gulag prisoner Yuri Orlov. == Recipients == Source: 2006 Yuri Orlov (Cornell University) 2008 Liangying Xu (Chinese Academy of Sciences) 2010 Herman Winick (Stanford Linear Accelerator Center), Joseph Birman (City University of New York), and Morris (Moishe) Pripstein (National Science Foundation) 2012 Mulugeta Bekele (University of Addis Ababa) and Richard Wilson (Harvard University) 2014 Boris Altshuler (P.N. Lebedev Physical Institute) and Omid Kokabee (University of Texas at Austin) 2016 Zafra M. Lerman (Malta Conferences Foundation) 2018 Narges Mohammadi (Iran Engineering Inspection Corporation) and Ravi Kuchimanchi (Association for India's Development) 2020 Ayşe Erzan (Istanbul Technical University) and Xiaoxing Xi (Temple University) 2022 John C. Polanyi (University of Toronto) 2024 Eugene Chudnovsky (City University of New York) == See also == List of American Physical Society prizes and awards List


id: aqua-home-20260505-0
file: data/en.wikipedia.org/wiki/AQUA@home-0.md
category: reference
title: AQUA@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/AQUA@home
date_saved: 2026-05-05T03:23:57.981586+00:00
instance: kb-cron
parent: aqua-home-20260505-0
summary:
AQUA@home was a volunteer computing project operated by D-Wave Systems that ran on the Berkeley Open Infrastructure for Network Computing (BOINC) software platform. It ceased functioning in August 2011. Its goal was to predict the performance of superconducting adiabatic quantum computers on a variety of problems arising in fields ranging from materials science to machine learning. It designed and analyzed quantum computing algorithms, using Quantum Monte Carlo techniques. AQUA@home was the first BOINC project to provide multi-threaded applications. It was also the first project to deploy an OpenCL test application under BOINC. == References == == External links == Papers resulting from AQUA@home's computations


id: artificial-intelligence-system-20260505-0
file: data/en.wikipedia.org/wiki/Artificial_Intelligence_System-0.md
category: reference
title: Artificial Intelligence System
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Artificial_Intelligence_System
date_saved: 2026-05-05T03:23:59.183154+00:00
instance: kb-cron
parent: artificial-intelligence-system-20260505-0
summary:
Artificial Intelligence System (AIS) was a volunteer computing project undertaken by Intelligence Realm, Inc. with the long-term goal of simulating the human brain in real time, complete with artificial consciousness and artificial general intelligence. They claimed to have found, in research, the "mechanisms of knowledge representation in the brain which is equivalent to finding artificial intelligence", before moving into the developmental phase. == History == The project's initial goal was recreating the largest brain simulation to date, performed by neuroscientist Eugene M. Izhikevich of The Neurosciences Institute in San Diego, California. Izhikevich simulated 1 second of activity of 100 billion neurons (the estimated number of neurons in the human brain) in 50 days using a cluster of 27 3-gigahertz processors. He extrapolated that a real-time simulation of the brain could not be achieved before 2016. The project aimed to disprove this prediction. Artificial Intelligence System announced on Sep 5, 2007 that they will use the Berkeley Open Infrastructure for Network Computing (BOINC) software to perform intensive calculations. On July 12, 2008, the first phase of the project had been completed by reaching the 100 billion neuron mark. The project then continued to simulate neurons while they completed the development of


id: australian-national-centre-for-the-public-awareness-of-science-20260505-0
file: data/en.wikipedia.org/wiki/Australian_National_Centre_for_the_Public_Awareness_of_Science-0.md
category: reference
title: Australian National Centre for the Public Awareness of Science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Australian_National_Centre_for_the_Public_Awareness_of_Science
date_saved: 2026-05-05T03:24:00.417970+00:00
instance: kb-cron
parent: australian-national-centre-for-the-public-awareness-of-science-20260505-0
summary:
The Centre for the Public Awareness of Science is part of the Australian National University. In March 2000 it became an accredited Centre for the Australian National Commission for UNESCO. == Work of the Centre == As a UNESCO Centre, CPAS engages with science communication and communicators in the Pacific region and beyond. In partnership with the UNESCO Pacific Office in Apia, Samoa, CPAS has focused on science teaching training and communication in Pacific nations. As well as running a science journalism workshop for Pacific Island journalists in 2001, CPAS followed up in the same year with a science teacher workshop and the first Pacific Science Communication Forum. The UNESCO office in Jakarta invited CPAS to join a mission to Cambodia to conduct a survey to identify and assess the needs of the country with respect to science education in schools and universities. Other activities include joining with UNESCO (Apia) to help in its aims to raise social participation in science in and around the Pacific. CPAS also established, as a pilot project, the Register of Pacific Scientists, an online database for those involved with Pacific Science to record their details and/or search for other people with similar or complementary


id: body-worlds-20260505-0
file: data/en.wikipedia.org/wiki/Body_Worlds-0.md
category: reference
title: Body Worlds
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Body_Worlds
date_saved: 2026-05-05T03:24:01.635422+00:00
instance: kb-cron
parent: body-worlds-20260505-0
summary:
Body Worlds (German title: Körperwelten) is a traveling exposition of dissected human bodies, animals, and other anatomical structures of the body that have been preserved through the process of plastination. Gunther von Hagens developed the preservation process which "unite[s] subtle anatomy and modern polymer chemistry", in the late 1970s. A series of Body Worlds anatomical exhibitions has toured many countries worldwide, sometimes raising controversies about the sourcing and display of actual human corpses and body parts. Von Hagens maintains that all human specimens were obtained with full knowledge and consent of the donors before they died, but this has not been independently verified, and in 2004 von Hagens returned seven corpses to China because they showed evidence of being executed prisoners. A competing exhibition, Bodies: The Exhibition, openly sources its bodies from "unclaimed bodies" in China, which can include executed prisoners. In addition to temporary traveling exhibitions, permanent Body Worlds exhibits exists in Berlin, Amsterdam, Heidelberg, Guben, and San Jose, CA. == Description == The exhibit states that its purpose and mission is the education of laypeople about the human body, leading to better health awareness. Each Body Worlds exhibition contains approximately 25 full-body plastinates with expanded or selective organs


id: body-worlds-20260505-1
file: data/en.wikipedia.org/wiki/Body_Worlds-1.md
category: reference
title: Body Worlds
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Body_Worlds
date_saved: 2026-05-05T03:24:01.635422+00:00
instance: kb-cron
parent: body-worlds-20260505-0
summary:
=== France === In response to the Paris exhibition of Our Body: The Universe Within, two local human rights groups filed a legal complaint against the owner of the exhibit, Gunther Von Hagens. The groups' lawyer Richard Sedillot argued that the existence of exhibits profiting from the display of human bodies creates a supply demand to produce and traffick more bodies through ethically dubious means to supply the exhibits. Potential scenarios given by the lawyer included structural violence such as neglecting medical patients or incentising an increase in death row convictions in China. Sedillot stated "I am convinced that the exhibition is the last step in a horrible traffic [sic] operation of human bodies originating in China." On Tuesday 21 April 2009, Judge Louis-Marie Raingeard ruled that exhibiting dead bodies for profit was a "violation of the respect owed to them". "Under the law, the proper place for corpses is in the cemetery". Raingeard ordered the exhibition to close within 24 hours or face a fine of €20,000 (over $26,000 USD) for each day it stayed open. The judge also ordered authorities to seize the 17 bodies on display and all of the organs on display from an unknown number


id: body-worlds-20260505-2
file: data/en.wikipedia.org/wiki/Body_Worlds-2.md
category: reference
title: Body Worlds
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Body_Worlds
date_saved: 2026-05-05T03:24:01.635422+00:00
instance: kb-cron
parent: body-worlds-20260505-0
summary:
==== Hawaii ==== In January 2009, Rep. Marcus Oshiro introduced two bills prompted by presentation of the BODIES Exhibition in that state. HB28 Relating to Dead Human Bodies would add to the prohibition against buying dead human bodies, the selling of dead human bodies and defines the term "dead human body" to include plastinated bodies and body parts. It would increase the fine for buying or selling a dead human body to up to $5,000. HB29 Relating to Dead Human Bodies would prohibit the commercial display of dead human bodies without a permit from the Department of Health. ==== New York ==== In June 2008, New York State Senate passed legislation regulating body exhibits. A bill that was sponsored by Senator Jim Alesi requires anyone showing an exhibit that uses real human bodies in New York museums to produce a permit detailing their origin. BODY WORLDS was hosted at Discovery Times Square in New York City. ==== Pennsylvania ==== Representative Mike Fleck's proposed bill would require evidence of informed consent from the decedent or relatives of all humans whose remains are put on display. BODY WORLDS exhibitions have been hosted in Philadelphia at the Franklin Institute and in Allentown at


id: body-worlds-20260505-3
file: data/en.wikipedia.org/wiki/Body_Worlds-3.md
category: reference
title: Body Worlds
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Body_Worlds
date_saved: 2026-05-05T03:24:01.635422+00:00
instance: kb-cron
parent: body-worlds-20260505-0
summary:
=== Religious objections === Religious groups, including some rabbis have objected to the display of human remains, stating that it is inconsistent with reverence towards the human body. A group of Catholic Christians voiced their opinions towards the Body Worlds exhibition in a reflection paper written by the Archdiocese of Milwaukee. This was in response to the arrival of the Body Worlds Exhibition in the Milwaukee Public Museum in 2014. The group were largely in favour of the exhibition due to its educational goals. But, the paper also discussed fears surrounding whether the exhibit's educational aims were secondary to the experience of voyeurism. There were also concerns over the display of plastinated fetuses, due to beliefs surrounding abortion. === Sex plastinate === In 2003, while promoting a display in the Hamburg Museum of Erotica, von Hagens announced his intention to create a sex plastinate. In May 2009 he unveiled a plastinate of a couple having sex, intended for a Berlin exhibition. === Lessening donor organ availability === In 2007, the Bishop of Manchester launched a campaign to coincide with the opening of Body Worlds in that city, accusing the exhibitors of being "body snatchers" and "robbing the NHS", arguing that


id: body-worlds-20260505-4
file: data/en.wikipedia.org/wiki/Body_Worlds-4.md
category: reference
title: Body Worlds
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Body_Worlds
date_saved: 2026-05-05T03:24:01.635422+00:00
instance: kb-cron
parent: body-worlds-20260505-0
summary:
== Further reading == Gottfried Bogusch, Renate Graf, Thomas Schnalke. Auf Leben und Tod Beiträge zur Diskussion um die Ausstellung "Körperwelten", Schriften aus dem Berliner Medizinhistorischen Museum, 2003, VII, 136 S. 62 Abb., Softcover ISBN 978-3798514249. Burns, Lawrence (2007). "Gunther Von Hagens' Body Worlds: Selling Beautiful Education". The American Journal of Bioethics. 7 (4): 12–23. doi:10.1080/15265160701220659. PMID 17454986. S2CID 31456090. Archived from the original on 9 December 2008. Liselotte Hermes da Fonseca: Wissenschaftliche Transzendenz der Körperwelten. Aufhebung der "Beschränkung von Freiheit" durch Leben, Tod und Körper. In: Wolf Gerhard Schmidt (Hg.): Körperbilder in Kunst und Wissenschaft Würzburg 2014, S. 107–138. Liselotte Hermes da Fonseca: "Ich will in meinem Knochenleben endlich zufrieden und glücklich sein": Eschatologie der Körperwelten. In: Dominik Groß, Brigitte Tag und Christoph Schweikardt (Hg.): Who wants to live forever? Frankfurt, New York 2011, S. 197–218. Liselotte Hermes da Fonseca: La plastination, une technique d'incarnation des espoirs scientifiques. In : Annette Leibing et Virginie Tournay (Hg.): Les technologies de l'espoir: La fabrique d'une histoire à accomplir. PUL-Presses de l'Université Laval, 2010. Liselotte Hermes da Fonseca. Wachsfigur – Mensch – Plastinat. Über die Mitteilbarkeit von Sehen, Nennen und Wissen, Deutsche Vierteljahrsschrift für Literaturwissenschaft und Geistesgeschichte (1999), Heft 1. Liselotte Hermes


id: bugscope-20260505-0
file: data/en.wikipedia.org/wiki/Bugscope-0.md
category: reference
title: Bugscope
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Bugscope
date_saved: 2026-05-05T03:24:02.959291+00:00
instance: kb-cron
parent: bugscope-20260505-0
summary:
Bugscope is a web-based science outreach program that connects K-12 classrooms with microscopists at the Beckman Institute for Advanced Science and Technology at UIUC to explore insects under a high-powered scanning electron microscope (SEM). Launched in 1998, Bugscope allows students to observe microscopic details of insects and other organisms, sparking curiosity and fostering scientific discovery. The program has reached students globally, offering live, interactive sessions that align with educational standards. == Award == The Science Prize for Online Resources in Education (SPORE) from AAAS was awarded to Bugscope for its impact on science education in 2011. == References ==


id: clean-energy-project-20260505-0
file: data/en.wikipedia.org/wiki/Clean_Energy_Project-0.md
category: reference
title: Clean Energy Project
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Clean_Energy_Project
date_saved: 2026-05-05T03:24:04.107393+00:00
instance: kb-cron
parent: clean-energy-project-20260505-0
summary:
The Clean Energy Project (CEP) was a virtual high-throughput discovery and design effort for the next generation of plastic solar cell materials that has finished. It studies millions of candidate structures to identify suitable compounds for the harvesting of renewable energy from the sun and for other organic electronic applications. It ran on the BOINC platform. == Project purpose == The project searched for the most suitable organic compounds with which to make solar cells, the best polymeric membranes with which to make fuel cells, and how best to assemble the molecules for such devices. == Current project status == On June 24, 2013, the Clean Energy Project released its database to the public and the research community. The release was featured on the White House Blog and by several news organizations including the MIT Technology Review. The database contains 150 million density functional theory calculations on 2.3 million molecules. == Publications == C. Amador-Bedolla, R. Olivares-Amaya, J. Hachmann, A. Aspuru-Guzik, Towards Materials Informatics for Organic Photovoltaics, in Informatics for Materials Science and Engineering, K. Rajan, Ed., Elsevier, Amsterdam (2013). In press. R. Olivares-Amaya, C. Amador-Bedolla, J. Hachmann, S. Atahan-Evrenk, R.S. Sánchez-Carrera, L. Vogt, A. Aspuru-Guzik, Accelerated Computational Discovery of


id: climateprediction-net-20260505-0
file: data/en.wikipedia.org/wiki/Climateprediction.net-0.md
category: reference
title: Climateprediction.net
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Climateprediction.net
date_saved: 2026-05-05T03:24:05.363360+00:00
instance: kb-cron
parent: climateprediction-net-20260505-0
summary:
climateprediction.net (CPDN) is a volunteer computing project to investigate and reduce uncertainties in climate modelling. It aims to do this by running hundreds of thousands of different models (a large climate ensemble) using the donated idle time of ordinary personal computers, thereby leading to a better understanding of how models are affected by small changes in the many parameters known to influence the global climate. The project relies on the BOINC framework where voluntary participants agree to run some processes of the project at the client-side in their personal computers after receiving tasks from the server-side for treatment. CPDN, which is run primarily by Oxford University in England, has harnessed more computing power and generated more data than any other climate modelling project. It has produced over 100 million model years of data so far. As of June 2016, there are more than 12,000 active participants from 223 countries with a total BOINC credit of more than 27 billion, reporting about 55 teraflops (55 trillion operations per second) of processing power. == Aims == The aim of the climateprediction.net project is to investigate the uncertainties in various parameterizations that have to be made in state-of-the-art climate models. The model is


id: climateprediction-net-20260505-1
file: data/en.wikipedia.org/wiki/Climateprediction.net-1.md
category: reference
title: Climateprediction.net
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Climateprediction.net
date_saved: 2026-05-05T03:24:05.363360+00:00
instance: kb-cron
parent: climateprediction-net-20260505-0
summary:
Classic Slab Model - The original experiment not under BOINC. See #The original model for further details. This model remains in use solely for the OU short course. BOINC Slab Model - The same as the classic Slab Model, but released under BOINC. ThermoHaline Circulation (THC) Model - An investigation of how the climate might change in the event of a decrease in the strength of the ThermoHaline Circulation. This experiment has now been closed to new participants as they have sufficient results. It was a four phase model totaling 60 model years. The first three phases were identical to the above Slab Models. The fourth phase imposed the effects of a 50% slowdown in the Thermohaline circulation by imposing SST changes in the north Atlantic derived from other runs. Sulfur Cycle Model - An investigation of the effect of sulfate aerosols on the climate. The experiment will model sulfur in a number of compound forms including dimethyl sulfide and sulfate aerosols. This experiment started in August 2005 and was a pre-requirement for the Hindcast. It is a 5 phase model totalling 75 model years. Timesteps are around 70% longer, making the model around 2.8 times longer than the initial


id: climateprediction-net-20260505-2
file: data/en.wikipedia.org/wiki/Climateprediction.net-2.md
category: reference
title: Climateprediction.net
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Climateprediction.net
date_saved: 2026-05-05T03:24:05.363360+00:00
instance: kb-cron
parent: climateprediction-net-20260505-0
summary:
=== Explanation === Climate sensitivity is defined as the equilibrium response of global mean temperature to doubling levels of carbon dioxide. As of June 2025, current levels of carbon dioxide are 426 ppm and grew by 3.72ppm in the last year, compared with preindustrial levels of 280 ppm. Climate sensitivities of greater than 5 °C are widely accepted as being catastrophic. The possibility of such high sensitivities being plausible given observations had been reported prior to the climateprediction.net experiment but "this is the first time GCMs have produced such behaviour". Even the models with very high climate sensitivity were found to be "as realistic as other state-of-the-art climate models". The test of realism was done with a root mean square error test. This does not check on realism of seasonal changes and it is possible that more diagnostic measures may place stronger constraints on what is realistic. Improved realism tests are being developed. It is important to the experiment and the goal of obtaining a probability distribution function (pdf) of climate outcomes to get a very wide range of behaviours even if only to rule out some behaviours as unrealistic. Larger sets of simulations have more reliable pdfs. Therefore, models


id: climateprediction-net-20260505-3
file: data/en.wikipedia.org/wiki/Climateprediction.net-3.md
category: reference
title: Climateprediction.net
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Climateprediction.net
date_saved: 2026-05-05T03:24:05.363360+00:00
instance: kb-cron
parent: climateprediction-net-20260505-0
summary:
== Visualisations == Many volunteer computing projects have screensavers to visually indicate the activity of the application, but they do not usually show its results as they are being calculated. By contrast, climateprediction.net not only uses a built-in visualisation to show the climate of the world being modelled, but it is interactive which allows different aspects of climate (temperature, rainfall, etc.) to be displayed. In addition, there are other, more advanced visualisation programs that allow the user to see more of what the model is doing (usually by analysing previously generated results) and to compare different runs and models. The real-time desktop visualisation for the model launched in 2003 was developed by Jeremy Walton at NAG, enabling users to track the progress of their simulation as the cloud cover and temperature changes over the surface of the globe. Other, more advanced visualisation programs in use include CPView and IDL Advanced Visualisation. They have similar functionality. CPView was written by Martin Sykes, a participant in the experiment. The IDL Advanced Visualisation was written by Andy Heaps of the University of Reading (UK), and modified to work with the BOINC version by Tesella Support Services plc. Only CPView allows you to look


id: committee-on-the-public-understanding-of-science-20260505-0
file: data/en.wikipedia.org/wiki/Committee_on_the_Public_Understanding_of_Science-0.md
category: reference
title: Committee on the Public Understanding of Science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Committee_on_the_Public_Understanding_of_Science
date_saved: 2026-05-05T03:24:10.327417+00:00
instance: kb-cron
parent: committee-on-the-public-understanding-of-science-20260505-0
summary:
The Committee on the Public Understanding of Science or Copus was founded in 1985 by the British Association for the Advancement of Science (BAAS), the Royal Institution and the Royal Society. Copus came about as a result of the 'Bodmer Report' by the eminent geneticist Walter Bodmer. The aim of Copus was to interpret scientific advances and make them more accessible to non-scientists. It played a part in developing the public understanding of science it establishing standards for communicating science and technology The Copus Grant Schemes was set up in 1987 and the last round of grants was for 2003/4. The scheme was funded by the Office of Science and Technology and the Royal Society. 25 grants worth a total of over £750,000 were awarded in 2003/2004. In 2000 The new Copus Council was formed to be a more inclusive partnership for science communication in the UK. In 2002 following a report commissioned by the Office of Science and Technology the Copus Council was discontinued. == References ==


id: conversazione-20260505-0
file: data/en.wikipedia.org/wiki/Conversazione-0.md
category: reference
title: Conversazione
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Conversazione
date_saved: 2026-05-05T03:24:11.588668+00:00
instance: kb-cron
parent: conversazione-20260505-0
summary:
A conversazione is a "social gathering [predominantly] held by [a] learned or art society" for conversation and discussion, especially about the arts, literature, medicine, and science. It would not be easy to devise a happier way [than the conversazione] of bringing novelties at once under practical criticism—of making the outliers of science acquainted with the centre, of enabling investigators to compare operations and discuss facts and speculations, and of giving occasion for renewal of intercourse and removal of misunderstandings. …[The] tangible gain to science [from the conversazione is that] inventors and experimentalists … hear [directly] what contemporaries say of their schemes and experiments, and much can be said and done with advantage amid the free talk of a general gathering which could not be permitted in the formal meeting of a scientific society. (Nature, 5 May 1870.) == Origin == The writer Horace Walpole is credited with the first recorded English use of conversazione in a letter written (from Italy) on 11 November 1739 to Richard West (1716–1742) in which he writes, "After the play we were introduced to the assembly, which they [viz., the Italians] call the conversazione". == Historical usage in Britain == In Italy, the term generally


id: cosmology-home-20260505-0
file: data/en.wikipedia.org/wiki/Cosmology@Home-0.md
category: reference
title: Cosmology@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Cosmology@Home
date_saved: 2026-05-05T03:24:12.720963+00:00
instance: kb-cron
parent: cosmology-home-20260505-0
summary:
Cosmology@Home was a volunteer computing project that used the BOINC platform and was formerly run at the Departments of Astronomy and Physics at the University of Illinois at Urbana-Champaign. The project has moved to the Institut Lagrange de Paris and the Institut d'Astrophysique de Paris, both of which are located in the Pierre and Marie Curie University. == Goals == The goal of Cosmology@Home is to compare theoretical models of the universe to the data measured to date and search for the model that best matches it. Other goals may include: results from Cosmology@Home can help design future cosmological observations and experiments. results from Cosmology@Home can help prepare for the analysis of future data sets, e.g. from the Planck spacecraft. == Science == The goal of Cosmology@Home is to search for the model that best describes our Universe and to find the range of models that agree with the available astronomical and particle physics data. The models generated by Cosmology@Home can be compared to measurements of the universe's expansion speed from the Hubble Space Telescope as well as fluctuations in the Cosmic microwave background as measured by the Wilkinson Microwave Anisotropy Probe. == Method == Cosmology@Home uses an innovative way


id: denialism-20260505-0
file: data/en.wikipedia.org/wiki/Denialism-0.md
category: reference
title: Denialism
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Denialism
date_saved: 2026-05-05T03:24:13.946180+00:00
instance: kb-cron
parent: denialism-20260505-0
summary:
In the sciences and in historiography, denialism is the rejection of basic facts and concepts that are undisputed, well-supported parts of the scientific consensus or historical record on a subject, in favor of ideas that are radical, controversial, or fabricated. Examples include Holocaust denial, AIDS denialism, and climate change denial. The forms of denialism present the common feature of the person rejecting overwhelming evidence and trying to generate political controversy in attempts to deny the existence of consensus. In psychology, denialism is a person's choice to deny reality as a way to avoid believing in an uncomfortable truth. Denialism is an essentially irrational human behavior that withholds the validation of a historical experience or event when a person refuses to accept an empirically verifiable reality. The motivations and causes of denialism include religion, self-interest (economic, political, or financial), and defence mechanisms meant to protect the psyche of the denialist against mentally disturbing facts and ideas; such disturbance is called cognitive dissonance. == Definition and tactics == Anthropologist Didier Fassin distinguishes between denial, defined as "the empirical observation that reality and truth are being denied", and denialism, which he defines as "an ideological position whereby one systematically reacts by refusing reality


id: denialism-20260505-1
file: data/en.wikipedia.org/wiki/Denialism-1.md
category: reference
title: Denialism
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Denialism
date_saved: 2026-05-05T03:24:13.946180+00:00
instance: kb-cron
parent: denialism-20260505-0
summary:
AIDS denialism is the denial that the human immunodeficiency virus (HIV) is the cause of acquired immune deficiency syndrome (AIDS). AIDS denialism has been described as being "among the most vocal anti-science denial movements". Some denialists reject the existence of HIV, while others accept that the virus exists but say that it is a harmless passenger virus and not the cause of AIDS. Insofar as denialists acknowledge AIDS as a real disease, they attribute it to some combination of recreational drug use, malnutrition, poor sanitation, and side effects of antiretroviral medication, rather than infection with HIV. However, the evidence that HIV causes AIDS is scientifically conclusive and the scientific community rejects and ignores AIDS-denialist claims as based on faulty reasoning, cherry picking, and misrepresentation of mainly outdated scientific data. With the rejection of these arguments by the scientific community, AIDS-denialist material is now spread mainly through the Internet. Thabo Mbeki, former president of South Africa, embraced AIDS denialism, proclaiming that AIDS was primarily caused by poverty. About 365,000 people died from AIDS during his presidency; it is estimated that around 343,000 premature deaths could have been prevented if proper treatment had been available. === COVID-19 === The term "COVID-19 denialism"


id: denialism-20260505-2
file: data/en.wikipedia.org/wiki/Denialism-2.md
category: reference
title: Denialism
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Denialism
date_saved: 2026-05-05T03:24:13.946180+00:00
instance: kb-cron
parent: denialism-20260505-0
summary:
Mental illness denial or mental disorder denial is where a person denies the existence of mental disorders. Serious analysts, as well as pseudoscientific movements, question the existence of certain disorders. A minority of professional researchers see disorders such as depression from a sociocultural perspective and argue that the solution to it is fixing a dysfunction in society, not in the person's brain. Some people may also deny that they have a mental illness after being diagnosed, and certain analysts argue this denialism is usually fueled by narcissistic injury. Anti-psychiatry movements such as Scientology promote mental illness denial by having alternative practices to psychiatry. === Election denial === Election denial is baseless rejection of the outcome of a fair election. Since the 2020 United States presidential election, there has been an ongoing narrative asserting that it was fraudulent. Similar events have occurred in different countries: Brazil in 2022 when former president Jair Bolsonaro after his defeat in the 2022 Brazilian general election, questioning the accuracy of the country's electronic voting system. In the 2021 Peruvian general election, presidential candidate Keiko Fujimori alleged fraud and irregularities in the voting count which were disproved by election authorities and international observers. == Historiography ==


id: docking-home-20260505-0
file: data/en.wikipedia.org/wiki/Docking@Home-0.md
category: reference
title: Docking@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Docking@Home
date_saved: 2026-05-05T03:24:15.158607+00:00
instance: kb-cron
parent: docking-home-20260505-0
summary:
Docking@Home was a volunteer computing project hosted by the University of Delaware and running on the Berkeley Open Infrastructure for Network Computing (BOINC) software platform. It models protein-ligand docking using the CHARMM program. Volunteer computing allows an extensive search of protein-ligand docking conformations and selection of near-native ligand conformations are achieved by using ligand based hierarchical clustering. The ultimate aim was the development of new pharmaceutical drugs. The project was retired on May 23, 2014. == See also == List of volunteer computing projects == References == == Further reading == "Computer Idle? Now You Can Donate Its Time to Find a Cure for Major Diseases". Newswise. June 16, 2009. Retrieved 2009-07-27. == External links == Official website Docking@Home screensaver video on YouTube


id: einstein-home-20260505-0
file: data/en.wikipedia.org/wiki/Einstein@Home-0.md
category: reference
title: Einstein@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Einstein@Home
date_saved: 2026-05-05T03:24:16.361890+00:00
instance: kb-cron
parent: einstein-home-20260505-0
summary:
Einstein@Home is a volunteer computing project that searches for signals from spinning neutron stars in data from gravitational-wave detectors, from large radio telescopes, and from a gamma-ray telescope. Neutron stars are detected by their pulsed radio and gamma-ray emission as radio and/or gamma-ray pulsars. They also might be observable as continuous gravitational wave sources if they are rapidly spinning and non-axisymmetrically deformed. The project was officially launched on 19 February 2005 as part of the American Physical Society's contribution to the World Year of Physics 2005 event. Einstein@Home searches data from the LIGO gravitational-wave detectors. The project conducts the most sensitive all-sky searches for continuous gravitational waves. While no such signal has yet been detected, the upper limits set by Einstein@Home analyses provide astrophysical constraints on the galactic population of spinning neutron stars in our Milky Way galaxy. Einstein@Home also searches radio telescope data from the Arecibo Observatory, and has in the past analyzed data from Parkes Observatory. On 12 August 2010, the first discovery by Einstein@Home of a previously undetected radio pulsar J2007+2722, found in data from the Arecibo Observatory, was published in Science. This was the first data-based discovery by a volunteer computing project. As of December 2023,


id: einstein-home-20260505-1
file: data/en.wikipedia.org/wiki/Einstein@Home-1.md
category: reference
title: Einstein@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Einstein@Home
date_saved: 2026-05-05T03:24:16.361890+00:00
instance: kb-cron
parent: einstein-home-20260505-0
summary:
Einstein@Home has carried out many analysis runs using data from the LIGO instruments. Since its first search run in 2005, the sensitivity of the LIGO detectors has been improved in a series of steps and upgrades. This is continuing with the current Advanced LIGO detectors. At the same time, Einstein@Home search algorithms have also improved. Together these have increased the search sensitivity by several orders of magnitude. Einstein@Home's first analysis used data from the "third science run" (S3) of LIGO. Processing of the S3 data set was conducted between 22 February 2005 and 2 August 2005. This analysis employed 60 segments from the LIGO Hanford 4-km detector, totaling ten hours of data each. Each 10-hour segment was analyzed for CW signals by the volunteers' computers using a matched-filtering technique. When all matched-filtering results were returned, the results from different segments were then combined in a "post-processing step" on Einstein@Home servers via a coincidence scheme to further enhance search sensitivity. Results were published on the Einstein@Home webpages. Work on the S4 data set (LIGO's fourth science run) was started via interlacing with the S3 calculations and finished in July 2006. This analysis used 10 segments of 30 hours each from the


id: einstein-home-20260505-2
file: data/en.wikipedia.org/wiki/Einstein@Home-2.md
category: reference
title: Einstein@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Einstein@Home
date_saved: 2026-05-05T03:24:16.361890+00:00
instance: kb-cron
parent: einstein-home-20260505-0
summary:
An Einstein@Home study on how to optimally use the limited computing power for directed searches (where prior information on the target object such as the sky position is available) was published on 31 January 2018. It describes the design of searches for continuous gravitational waves over a wide frequency range from three supernova remnants (Vela Jr, Cassiopeia A, and G347.3). The results from the directed Einstein@Home search for continuous gravitational waves from the central objects of the supernova remnants Vela Jr., Cassiopeia A, and G347.3 was published on 29 July 2019. It covered a frequency range from 20 Hertz to 1500 Hertz and used data from LIGO's first observing run O1. No signal was found and the most stringent upper limit at the time of publication were set, improving earlier results by a factor of two for all three targets. A follow-up of the Einstein@Home search for continuous gravitational waves from the central objects of the supernova remnants Vela Jr., Cassiopeia A, and G347.3 was published on 29 June 2020. It investigated the most promising 10,000 candidates from the previous search and followed them up in two stretches of data from LIGO's second observing run (O2). A single candidate associated


id: einstein-home-20260505-3
file: data/en.wikipedia.org/wiki/Einstein@Home-3.md
category: reference
title: Einstein@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Einstein@Home
date_saved: 2026-05-05T03:24:16.361890+00:00
instance: kb-cron
parent: einstein-home-20260505-0
summary:
== Radio data analysis and results == On 24 March 2009, it was announced that the Einstein@Home project was beginning to analyze data received by the PALFA Consortium at the Arecibo Observatory in Puerto Rico. On 26 November 2009, a CUDA-optimized application for the Arecibo Binary Pulsar Search was first detailed on official Einstein@Home webpages. This application uses both a regular CPU and an NVIDIA GPU to perform analyses faster (in some cases up to 50% faster). On 12 August 2010, the Einstein@Home project announced the discovery of a new disrupted binary pulsar, PSR J2007+2722; it may be the fastest-spinning such pulsar discovered to date. The computers of Einstein@Home volunteers Chris and Helen Colvin and Daniel Gebhardt observed PSR 2007+2722 with the highest statistical significance. On 1 March 2011, the Einstein@Home project announced their second discovery: a binary pulsar system PSR J1952+2630. The computers of Einstein@Home volunteers from Russia and the UK observed PSR J1952+2630 with the highest statistical significance. By 15 May 2012 a new application for ATI/AMD graphic cards had been released. Using OpenCL, the new application was ten times faster than running on a typical CPU. On 22 July 2013, an Android application version of the radio


id: einstein-home-20260505-4
file: data/en.wikipedia.org/wiki/Einstein@Home-4.md
category: reference
title: Einstein@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Einstein@Home
date_saved: 2026-05-05T03:24:16.361890+00:00
instance: kb-cron
parent: einstein-home-20260505-0
summary:
== Gamma-ray data analysis and results == On 1 July 2011 the project announced a new application to search for pulsars in data from the Large Area Telescope on board the Fermi Gamma-ray Space Telescope. On 26 November 2013, the discovery of four young gamma-ray pulsars in LAT data by the Einstein@Home project was published. All four pulsars are located in the plane of our Galaxy and have spin frequencies of less than 10 Hertz and characteristic ages between 35,000 and 56,000 years. No radio waves were detected from any of the pulsars. The discovery of the gamma-ray pulsar PSR J1906+0722 was published on 4 August 2015. The discovery confirmed the pulsar nature of the object which had been suspected since 2012 based on the energy distribution of the gamma-ray photons observed by the LAT. The pulsar is young and energetic. In August 2009 it suffered one of the largest glitches observed from a gamma-ray pulsar. No radio pulsations were detected in any follow-up search, making PSR J1906+0722 likely radio-quiet. Advanced methods of timing the arrival times of gamma-ray pulsations were introduced to improve the parameter inference of astrophysical properties. On 16 November 2016 the discovery and timing measurements of


id: einstein-home-20260505-5
file: data/en.wikipedia.org/wiki/Einstein@Home-5.md
category: reference
title: Einstein@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Einstein@Home
date_saved: 2026-05-05T03:24:16.361890+00:00
instance: kb-cron
parent: einstein-home-20260505-0
summary:
== Scientific Publications == Clark, C. J.; et al. (2016). "The Braking Index of a Radio-quiet Gamma-ray Pulsar". The Astrophysical Journal. 832 (1): L15. arXiv:1611.01292. Bibcode:2016ApJ...832L..15C. doi:10.3847/2041-8205/832/1/L15. ISSN 2041-8213. S2CID 54531854. Clark, Colin J.; et al. (2016). "The Einstein@Home Gamma-ray Pulsar Survey I: Search Methods, Sensitivity and Discovery of New Young Gamma-ray Pulsars". The Astrophysical Journal. 834 (2): 106. arXiv:1611.01015. Bibcode:2017ApJ...834..106C. doi:10.3847/1538-4357/834/2/106. S2CID 5750104. Lyne, A. G.; Stappers, B. W.; Bogdanov, S.; Freire, P. C. C.; Kaspi, V. M.; et al. (2016). "Timing of 29 Pulsars Discovered in the PALFA Survey". The Astrophysical Journal. 834 (2): 137. arXiv:1608.09007. Bibcode:2017ApJ...834..137L. doi:10.3847/1538-4357/834/2/137. S2CID 53639204. Papa, M. A.; Eggenstein, H.-B.; Walsh, S.; Di Palma, I.; Allen, B.; et al. (2016). "Hierarchical follow-up of sub-threshold candidates of an all-sky Einstein@Home search for continuous gravitational waves on LIGO sixth science run data". Physical Review D. 94 (12) 122006. arXiv:1608.08928. Bibcode:2016PhRvD..94l2006P. doi:10.1103/PhysRevD.94.122006. S2CID 4595158. Lazarus, P.; et al. (2016). "Einstein@Home discovery of a Double-Neutron Star Binary in the PALFA Survey". The Astrophysical Journal. 831 (2): 150. arXiv:1608.08211. Bibcode:2016ApJ...831..150L. doi:10.3847/0004-637X/831/2/150. ISSN 1538-4357. S2CID 20833657. Zhu, Sylvia J.; et al. (2016). "Einstein@Home search for continuous gravitational waves from Cassiopeia A". Physical Review D. 94 (8) 082008. arXiv:1608.07589. Bibcode:2016PhRvD..94h2008Z.


id: eon-20260505-0
file: data/en.wikipedia.org/wiki/EOn-0.md
category: reference
title: EOn
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/EOn
date_saved: 2026-05-05T03:24:17.623354+00:00
instance: kb-cron
parent: eon-20260505-0
summary:
eOn was a volunteer computing project running on the Berkeley Open Infrastructure for Network Computing (BOINC) platform, which uses theoretical chemistry techniques to solve problems in condensed matter physics and materials science. It was a project of the Institute for Computational Engineering and Sciences at the University of Texas. Traditional molecular dynamics can accurately model events that occur within a fraction of a millisecond. In order to model events that take place on much longer timescales, Eon combines transition state theory with kinetic Monte Carlo. The result is a combination of classical mechanics and quantum methods like density functional theory. Since the generation of new work units depended on the results of previous units, the project could only give each host a few units at a time. On May 26, 2014, it was announced that eOn would be retiring from BOINC. == See also == List of volunteer computing projects == References ==


id: ethical-legal-and-social-aspects-research-20260505-0
file: data/en.wikipedia.org/wiki/Ethical,_Legal_and_Social_Aspects_research-0.md
category: reference
title: Ethical, Legal and Social Aspects research
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Ethical,_Legal_and_Social_Aspects_research
date_saved: 2026-05-05T03:24:18.791380+00:00
instance: kb-cron
parent: ethical-legal-and-social-aspects-research-20260505-0
summary:
The acronyms ELSI (in the United States) and ELSA (in Europe) refer to research activities that anticipate and address ethical, legal and social implications (ELSI) or aspects (ELSA) of emerging sciences, notably genomics and nanotechnology. ELSI was conceived in 1988 when James Watson, at the press conference announcing his appointment as director of the Human Genome Project (HGP), suddenly and somewhat unexpectedly declared that the ethical and social implications of genomics warranted a special effort and should be directly funded by the National Institutes of Health. == Spread == Various ELSI or ELSA programs have been developed, in Canada, Europe and the Far East. Overview: U.S.A.: Ethical, ....Legal and Social Implications (ELSI) (funding agency: NIH, 1990) Canada: Genomics-related Ethical, Environmental, Economic, Legal and Social Aspects (GE3LS) (funding agency: Genome Canada, 2000) South-Korea: Ethical, Legal and Social Implications (ELSI) (funding: Government of South-Korea, 2001) United Kingdom: ESRC Genomics Network (EGN), including: Cesagen, Innogen, Egenis, Genomics Forum (funding agency: ESRC 2002) Netherlands: Centre for Society and the Life Sciences (CSG) (funding agency: Netherlands Genomics Initiative, 2002); more recently the ELSA labs programme related to Artificial Intelligence Norway: ELSA Program (funding agency: Research Council of Norway, 2002) Germany, Austria, Finland: ELSAGEN Transnational Research


id: ethnoscience-20260505-0
file: data/en.wikipedia.org/wiki/Ethnoscience-0.md
category: reference
title: Ethnoscience
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Ethnoscience
date_saved: 2026-05-05T03:24:19.989526+00:00
instance: kb-cron
parent: ethnoscience-20260505-0
summary:
Ethnoscience has been defined as an attempt "to reconstitute what serves as science for others, their practices of looking after themselves and their bodies, their botanical knowledge, but also their forms of classification, of making connections, etc." (Augé, 1999: 118). == Origins == Ethnoscience has not always focused on ideas distinct from those of "cognitive anthropology", "component analysis", or "the New Ethnography"; it is a specialization of indigenous knowledge-systems, such as ethno-botany, ethno-zoology, ethno-medicine, etc. (Atran, 1991: 595). According to Scott Atran, ethnoscience looks at culture with a scientific perspective (1991: 650), although most anthropologists abhor this definition. Ethnoscience helps to understand how people develop with different forms of knowledge and beliefs, and focuses on the ecological and historical contributions people have been given (Atran, 1991: 650). Tim Ingold describes ethnoscience as a cross-discipline (2000: 160). He writes that ethnoscience is based on increased collaboration between social sciences and the humanities (e.g., anthropology, sociology, psychology, and philosophy) with natural sciences such as biology, ecology, or medicine (Ingold, 2000: 406–7). At the same time, ethnoscience is increasingly transdisciplinary in its nature (Ingold, 2000: 407). Of course, naturally over time, the ways in which data has been collected and studied has changed


id: ethnoscience-20260505-1
file: data/en.wikipedia.org/wiki/Ethnoscience-1.md
category: reference
title: Ethnoscience
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Ethnoscience
date_saved: 2026-05-05T03:24:19.989526+00:00
instance: kb-cron
parent: ethnoscience-20260505-0
summary:
== Early approaches == Early on, Franz Boas established cultural relativism as an approach to understanding indigenous scientific practices (Uddin, 2005: 980). Cultural relativism identifies people's differences and shows how they are a result of the social, historical, and geographical conditions (Uddin, 2005: 980). Boas is known for his work in Northern Vancouver, British Columbia, Canada, working with the Kwakwaka'wakw Indians, which is where he established the importance of culture (Uddin, 2005: 980). Lévi-Strauss' structuralism was a strong contributor to the ideas of ethnoscience (Uddin, 2005: 980). It, itself, was the leading idea of providing structure to the research and a guide to organizing and relating different cultures. "Ethnoscience refers to a 'reduction of chaos' achieved by a particular culture, rather than to the 'highest possible and conscious degree' to which such chaos may be reduced"; basically, the ethnoscience of a society creates its culture (Sturtevant, 1964: 100). Much of the influence of anthropology, e.g., geographical determinism, was through the contributions of Jean Bodin (Harris, 1968: 42). In his text, he tried to explain why "northern people were faithful, loyal to the government, cruel, and sexually uninterested, compared to why southern people were malicious, craft, wise, expert in science but


id: ethnoscience-20260505-2
file: data/en.wikipedia.org/wiki/Ethnoscience-2.md
category: reference
title: Ethnoscience
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Ethnoscience
date_saved: 2026-05-05T03:24:19.989526+00:00
instance: kb-cron
parent: ethnoscience-20260505-0
summary:
== Development == Ethnoscience is a new term and study that came into anthropological theory in the 1960s. Often referred to as 'indigenous' or 'traditional' knowledge, ethnoscience introduces a perspective based on native perceptions. It is based on a complete emic perspective, which excludes all observations, interpretations and or any personal notions belonging to the ethnographer. The taxonomy and classification of indigenous systems, to name a few, used to categorize plants, animals, religion and life is adapted from a linguistic analysis. The concept of "Native Science" is also related to the understanding the role of the environment intertwined with the meaning humans place upon their lives. Understanding the language and the native people's linguistic system is one method to understand a native people's system of knowledge of organization. Not only is there categorization for things pertaining to nature and culture thought language, but more importantly and complex is the relationship between environment and culture. Ethnoscience looks at the intricacies of the connection between culture and its surrounding environment. There are also potential limitations and shortcomings in interpreting these systems of knowledge as a dictation of culture and behavior. Since an ethnographer is not able to physically enter inside an indigenous


id: ethnoscience-20260505-3
file: data/en.wikipedia.org/wiki/Ethnoscience-3.md
category: reference
title: Ethnoscience
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Ethnoscience
date_saved: 2026-05-05T03:24:19.989526+00:00
instance: kb-cron
parent: ethnoscience-20260505-0
summary:
=== System of classification – among cultures === Ethnoscience deals with how a given culture classifies certain principles in addition to how it is express through their language. By understanding a given culture through how they view the world, anthropologists attempt to eliminate any bias through translation as well as categorized their principles in their own ways. "The new methods, which focus on the discovery and description of folk systems, have come to be known as Ethnoscience. Ethnoscience analysis has thus far concentrated on systems of classification within such cultural and linguistic domains as colors, plants, and medicines" (Perchonock and Werner, 1969). An ethnoscientific approach can be used to better understand a given culture and their knowledge of their culture. Using an ethnographic approach can help anthropologists understand how that given culture views and categorizes their own foods, animal kingdom, medicines, as well as plants. === Contemporary research === Ethnoscience can be effectively summed up as a classification system for a particular culture in the same way that a botanist would use a taxonomic system for the classification of plant species. Everything from class levels, food consumption, clothing, and material culture objects would be subjected to a taxonomic classification system.


id: evolution-home-20260505-0
file: data/en.wikipedia.org/wiki/Evolution@Home-0.md
category: reference
title: Evolution@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Evolution@Home
date_saved: 2026-05-05T03:24:21.149485+00:00
instance: kb-cron
parent: evolution-home-20260505-0
summary:
evolution@home was a volunteer computing project for evolutionary biology, launched in 2001. The aim of evolution@home is to improve understanding of evolutionary processes. This is achieved by simulating individual-based models. The Simulator005 module of evolution@home was designed to better predict the behaviour of Muller's ratchet. The project was operated semi-automatically; participants had to manually download tasks from the webpage and submit results by email using this method of operation. yoyo@home used a BOINC wrapper to completely automate this project by automatically distributing tasks and collecting their results. Therefore, the BOINC version was a complete volunteer computing project. yoyo@home has declared its involvement in this project finished. == See also == Artificial life Digital organism Evolutionary computation Folding@home List of volunteer computing projects == References ==


id: fascial-net-plastination-project-20260505-0
file: data/en.wikipedia.org/wiki/Fascial_Net_Plastination_Project-0.md
category: reference
title: Fascial Net Plastination Project
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Fascial_Net_Plastination_Project
date_saved: 2026-05-05T03:24:26.719094+00:00
instance: kb-cron
parent: fascial-net-plastination-project-20260505-0
summary:
The Fascial Net Plastination Project is an anatomical research initiative established in 2018 aimed at plastinating and studying the human fascial network. The collaboration was initiated by Robert Schleip as a joint effort between Body Worlds, Fascia Research Group, and the Fascia Research Society. The project focuses on preserving the fascia, a complex connective tissue network that plays a crucial role in the human body's structure and function. One outcome of this three-year project is the creation of the world's first 3-D representation of the fascial network of a whole human body, named FR:EIA (Fascia Revealed: Educating Interconnected Anatomy), which is on display at the Body Worlds museum in Berlin, Germany. == Origination and objectives == The project was conceived to provide a comprehensive and tangible understanding of the fascial system through plastination. This technique, developed by Gunther von Hagens, involves replacing water and fat in biological tissues with polymers to create durable, lifelike specimens. The specific goals of the project include: Enhancing Educational Outreach: By creating detailed and durable plastinated specimens of the fascial net, the project aims to elevate the anatomical education of medical professionals and the general public. Advancing Research: Detailed anatomical studies of plastinated fascia specimens


id: feminist-philosophy-of-science-20260505-0
file: data/en.wikipedia.org/wiki/Feminist_philosophy_of_science-0.md
category: reference
title: Feminist philosophy of science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Feminist_philosophy_of_science
date_saved: 2026-05-05T03:24:28.043078+00:00
instance: kb-cron
parent: feminist-philosophy-of-science-20260505-0
summary:
Feminist philosophy of science is a branch of feminist philosophy that seeks to understand how the acquirement of knowledge through scientific means has been influenced by notions of gender identity and gender roles in society. Feminist philosophers of science question how scientific research and scientific knowledge itself may be influenced and possibly compromised by the social and professional framework within which that research and knowledge is established and exists. The intersection of gender and science allows feminist philosophers to reexamine fundamental questions and truths in the field of science to reveal how gender biases may influence scientific outcomes. The feminist philosophy of science has been described as being located "at the intersections of the philosophy of science and feminist science scholarship" and has attracted considerable attention since the 1980s. Feminist philosophers of science use feminist epistemology as a lens through which to analyze scientific methods, results, and analysis. This epistemology emphasizes "situated knowledge" that hinges on one's individual perspectives on a subject; feminist philosophers often highlight the under-representation of female scientists in academia and the resulting androcentric biases that exist in science. Feminist philosophers suggest that integrating feminine modes of thought and logic that are undervalued by current scientific theory


id: feminist-philosophy-of-science-20260505-1
file: data/en.wikipedia.org/wiki/Feminist_philosophy_of_science-1.md
category: reference
title: Feminist philosophy of science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Feminist_philosophy_of_science
date_saved: 2026-05-05T03:24:28.043078+00:00
instance: kb-cron
parent: feminist-philosophy-of-science-20260505-0
summary:
=== Standpoint and knowledge === The feminist philosophy of science has traditionally been highly critical of the lack of access and opportunities for women in science, resulting in scientific results that have been "distorted by sexist values." Sharon Crasnow highlights how the "exclusion of women as researchers and subjects" in scientific research, studies and projects can lead to incomplete methods and methodologies and ultimately unreliable or inaccurate results. Some feminist philosophies of science question whether science can lay claim to "impartiality, neutrality, autonomy, and indifference to political positions and the values" when the "neutral" position is benchmarked against the values held by one culture (i.e. western patriarchy) among the multitude of cultures participating in modern science. A complete Standpoint theory contains seven parts to fully understand the location of power one has, their "epistemic privilege". Anderson lays these out in her journal Feminist Epistemology and Philosophy of Science. The first point of the theory must state the social location of the authority. The second, how large is the grasp of this authority, what does it claim privilege over. Third, what aspect of the social location allows authority. Fourth, the grounds of the authority, what justifies their privilege. Fifth, the type


id: freehal-20260505-0
file: data/en.wikipedia.org/wiki/FreeHAL-0.md
category: reference
title: FreeHAL
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/FreeHAL
date_saved: 2026-05-05T03:24:29.207419+00:00
instance: kb-cron
parent: freehal-20260505-0
summary:
FreeHAL was a volunteer computing project to build a self-learning chatbot. This project is no longer active. Originally, the program was called JEliza referring to the chatbot ELIZA by Joseph Weizenbaum. The J stood for Java because JEliza has first been programmed in Java. In May 2008, the program has been renamed to FreeHAL because the programming language has changed. The name is related to the computer in the film 2001: A Space Odyssey. FreeHAL uses a semantic network and technologies like pattern recognition, stemming, part of speech databases and Hidden Markov Models in order to imitate a human behaviour. FreeHAL learns autonomously. While communicating by keyboard, the program extends its database. Currently, English and German are supported. By using the BOINC platform, new semantic networks for the program are built. FreeHAL@home appears to have terminated operations. == Awards == In 2008, the program won the first prize in the category "Most Popular" at the Chatterbox Challenge, a yearly competition between different similar chatbots. == Publications == There was an article about FreeHAL in the Linux Magazine, Issue 97 from December 2008. In the German magazine com!, the program was on the CD/DVD and in the list of the Top-10-Open-Source


id: frontiers-of-science-20260505-0
file: data/en.wikipedia.org/wiki/Frontiers_of_Science-0.md
category: reference
title: Frontiers of Science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Frontiers_of_Science
date_saved: 2026-05-05T03:24:30.468388+00:00
instance: kb-cron
parent: frontiers-of-science-20260505-0
summary:
Frontiers of Science was an illustrated comic strip created by Professor Stuart Butler of the School of Physics at the University of Sydney in collaboration with Robert Raymond, a documentary maker from the Australian Broadcasting Corporation (ABC) in 1961. The artist was Andrea Bresciani. After 1970 the comic was illustrated by David Emerson. It explained scientific concepts and recent research and in a 3 or 4 panel illustrated strip in an accessible and easily comprehensible way. The strip was syndicated to over 200 newspapers around the world for 25 years, from 1961 to 1987. It was also published as soft cover books. As of 2011, it "retains the record of being the longest-running newspaper science comic strip in the world." The strips are archived at Rare Books and Special Collections in Fisher Library at the University of Sydney. The entire series is available for viewing online. == References == == External links == Drifting Through Inner Space Ocean deep exploration explained in 5 cartoon strips c late 1960s - at NASA website - Accessed July 2006. University of Sydney Outreach projects, Frontiers of Science, - Accessed July 2006. Frontiers of Science Digital Collections, University of Sydney - Accessed April 2019.


id: funding-of-science-20260505-0
file: data/en.wikipedia.org/wiki/Funding_of_science-0.md
category: reference
title: Funding of science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Funding_of_science
date_saved: 2026-05-05T03:24:31.702550+00:00
instance: kb-cron
parent: funding-of-science-20260505-0
summary:
Research funding is a term that generally encompasses any funding for scientific research in the areas of natural science, technology, and social science. While different methods can be used to disburse funding, the term generally connotes funding obtained through a competitive process, in which potential research projects are evaluated, with only the most promising and economically viable receiving funding. Usually, it is measured through gross domestic expenditure on research and development (GERD). GERD includes R&D performed within a country and funded from abroad but excludes payments for R&D performed abroad. The largest share of research funding comes from two major sources: corporations (through research and development departments) and government (primarily carried out through universities and specialized government agencies, often known as research councils). A smaller amount of scientific research is funded by charitable foundations, especially in relation to developing cures for diseases such as cancer, malaria, and AIDS. According to the Organisation for Economic Co-operation and Development (OECD), more than 60% of research and development in scientific and technical fields is carried out by industry, and 20% and 10% respectively by universities and government. Comparatively, in countries with a relatively lower national GDP, such as Portugal and Mexico, the industry


id: funding-of-science-20260505-1
file: data/en.wikipedia.org/wiki/Funding_of_science-1.md
category: reference
title: Funding of science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Funding_of_science
date_saved: 2026-05-05T03:24:31.702550+00:00
instance: kb-cron
parent: funding-of-science-20260505-0
summary:
== Methodology to measure science funding == The guidelines for R&D data collections are laid down in the Frascati Manual published by the OECD. In the publication, R&D denotes three types of activities: basic research, applied research, and experimental development. This definition does not cover innovation, but it may feed into the innovative process. Additionally, the business sector innovation has a dedicated OECD manual. The most frequently used measurement for R&D is gross domestic expenditure on research and development (GERD). GERD is often represented in GERD-to-GDP ratios, as it allows for easier comparisons between countries. The data collection for GERD is based on reporting by performers. GERD differentiates according to the funding sector (business, enterprise, government, higher education, private non-profit, rest of the world) and the sector of performance (all funding sectors with the exception of rest of the world, as GERD only measures activity within the territory of a country). The two may coincide, for example, when the government funds government-performed R&D. Government funded science may also be measured by the Government budget appropriations and outlays for R&D (GBAORD/ GBARD). GBARD is a funder-based method, it denotes what governments committed to R&D (even if final payment might be different).


id: funding-of-science-20260505-2
file: data/en.wikipedia.org/wiki/Funding_of_science-2.md
category: reference
title: Funding of science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Funding_of_science
date_saved: 2026-05-05T03:24:31.702550+00:00
instance: kb-cron
parent: funding-of-science-20260505-0
summary:
==== Conditionality ==== In addition to project deliverables, funders also increasingly introduce new eligibility requirements alongside traditional ones such as research integrity/ethics. The 2016 Open Science movement, tied funding increasingly tied to data management plans and making data FAIR. The Open Science requirement complements Open Access mandates which in 2025 are widespread. The gender dimension also gained ground in recent years. The European Commission mandates research applicants to adopt gender equality plans across their organization. The UK Research and Innovation Global Challenges Research Fund mandates a gender equality statement. As of 2022, the European Commission also introduced a "Do No Significant Harm" principle to the Framework Program which aims to curb the environmental footprint of scientific projects. "Do No Significant Harm" has been criticized as coupled with other eligibility requirements it is often characterized as red-tape. Since 2020, European Commission has been trying to simplify the Framework Program with limited success. Simplification attempts were also taken by the UK Research and Innovation. ==== Process ==== Often scientists apply for research funding which a granting agency may (or may not) approve to financially support. These grants require a lengthy process as the granting agency can inquire about the researcher(s)'s background, the


id: funding-of-science-20260505-3
file: data/en.wikipedia.org/wiki/Funding_of_science-3.md
category: reference
title: Funding of science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Funding_of_science
date_saved: 2026-05-05T03:24:31.702550+00:00
instance: kb-cron
parent: funding-of-science-20260505-0
summary:
Disclosure of potential conflicts of interest (COIs) is used by journals to guarantee credibility and transparency of the scientific process. Conflict of interest disclosure, however, is not systematically nor consistently dealt with by journals that publish scientific research results. When research is funded by the same agency that can be expected to gain from a favorable outcome there is a potential for biased results and research shows that results are indeed more favorable than would be expected from a more objective view of the evidence. A 2003 systematic review studied the scope and impact of industry sponsorship in biomedical research. The researchers found financial relationships among industry, scientific investigators, and academic institutions widespread. Results showed a statistically significant association between industry sponsorship and pro-industry conclusions and concluded that "Conflicts of interest arising from these ties can influence biomedical research in important ways." A British study found that a majority of the members on national and food policy committees receive funding from food companies. In an effort to cut costs, the pharmaceutical industry has turned to the use of private, nonacademic research groups (i.e., contract research organizations [CROs]) which can do the work for less money than academic investigators. In 2001


id: funding-of-science-20260505-4
file: data/en.wikipedia.org/wiki/Funding_of_science-4.md
category: reference
title: Funding of science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Funding_of_science
date_saved: 2026-05-05T03:24:31.702550+00:00
instance: kb-cron
parent: funding-of-science-20260505-0
summary:
=== By country === Different countries spend vastly different amounts on research, in both absolute and relative terms. For instance, South Korea and Israel dedicate more than 4% of their national GDP to research and development, while numerous less developed countries allocate less than 1% of their national GDP to R&D. In developed economies, GERD is financed mainly by the business sector, whereas the government and the university sector dominate in less-developed economies. In some countries, funding from the major part of the international community represents up to 20-30% of total GERD, which is likely due to FDI and foreign aid; however, only in the case of Mali it is the main source of funding. Private non-profit is not the main source of funds in any country, but it reaches 10% of total GERD in Colombia and Honduras. When comparing annual GERD and GDP Growth, it can be seen that countries with lower GERD are often growing faster. However, as most of these countries are developing, their growth is probably driven by other factors of production. On the other hand, developed countries with a higher share of GERD are usually also the ones that produce positive growth rates. GERD in


id: google-science-fair-20260505-0
file: data/en.wikipedia.org/wiki/Google_Science_Fair-0.md
category: reference
title: Google Science Fair
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Google_Science_Fair
date_saved: 2026-05-05T03:24:32.933261+00:00
instance: kb-cron
parent: google-science-fair-20260505-0
summary:
The Google Science Fair was a worldwide (excluding Cuba, Iran, North Korea, Sudan, Myanmar/Burma, Syria, Zimbabwe and any other U.S. sanctioned country) online science competition sponsored by Google, Lego, Virgin Galactic, National Geographic and Scientific American. It was an annual event from 2011 to 2018. The first Google Science Fair was announced in January 2011; entries were due on April 7, 2011, and judging occurred in July 2011. The competition is open to 13- to 18-year-old students around the globe, who formulate a hypothesis, perform an experiment, and present their results. All students had to have an internet connection and a Google Account to participate, and the projects had to be in English, German, Italian, Spanish, or French. The final submission had to include ten sections, which were the summary, an "About Me" page, the steps of the project, and a works cited page. Entries were judged on the student's presentation, question, hypothesis, research, experiment, data, observations, and conclusion. Prizes were awarded to three finalists. The grand prize included a National Geographic trip to the Galapagos Islands, and a US$50,000 scholarship; finalists received a US$15,000 scholarship and assorted packages from sponsoring organizations. == Guest interviews == The on-line site also


id: google-science-fair-20260505-1
file: data/en.wikipedia.org/wiki/Google_Science_Fair-1.md
category: reference
title: Google Science Fair
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Google_Science_Fair
date_saved: 2026-05-05T03:24:32.933261+00:00
instance: kb-cron
parent: google-science-fair-20260505-0
summary:
== 2015 Winners == The 2015 Google Science Fair closed for entries on May 18, 2015, with regional finalists announced in London on July 7, 2015. These included Lauren McKenzie (14) who built an automatic soil watering system, Shadab Karnachi (14) who designed a low-cost gaming device for people with visual impairments, Nishanth Kumar (16) who designed a low-cost 'hands-free' mouse for use by people with developmental disabilities, and Peter He (14) who developed an innovative wireless virtual reality system. The global finalists representing 10 countries were announced on August 4, 2015, and were as follows: Bosnia-Herzegovina Anela Arifi and Ilda Ismaili – A system for alternative fuel production and storage using chicken feathers Canada Isabella O'Brien – Trouble in Paradise: Recycling shell waste to reduce ocean acidification Calvin Rieder – Extracting clean water from air: solar-powered solution for providing potable water France Eliott Sarrey – Bot2Karot: gardening through a smartphone-activated robot India Lalita Prasida Sripada Srisai – Absorbing water pollutants with corn cobs Lithuania Laura Steponavičiūtė – Detecting the environmental dangers of nanomaterials Russia Alexey Tarasov - Using ternary logic on current electronics Singapore Girish Kumar – RevUp: improving learning through auto-generated study questions Zhilin Wang – Zinc air


id: gpugrid-net-20260505-0
file: data/en.wikipedia.org/wiki/GPUGRID.net-0.md
category: reference
title: GPUGRID.net
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/GPUGRID.net
date_saved: 2026-05-05T03:24:34.200411+00:00
instance: kb-cron
parent: gpugrid-net-20260505-0
summary:
GPUGRID is a volunteer computing project hosted by Pompeu Fabra University and running on the Berkeley Open Infrastructure for Network Computing (BOINC) software platform. It performs full-atom molecular biology simulations that are designed to run on Nvidia's CUDA-compatible graphics processing units. == Former support for PS3s == Support for the PS3's Cell microprocessor and the subsequent PS3GRID project was dropped in 2009 due to updated firmware preventing the installation of required third-party software. This included Linux distributions that are required to run BOINC. The massive throughput of Nvidia GPUs has also made the PS3 client largely redundant. As of September 2009, a mid-range Nvidia GPU ran GPUGRID applications approximately five times faster than the Cell microprocessor. == See also == List of volunteer computing projects Molecular dynamics GPGPU == References == == Further reading == Research topics in GPUGRID website's science sections GPUGRID's about us Archived 2016-11-04 at the Wayback Machine section == External links == Official website Berkeley Open Infrastructure for Network Computing (BOINC)


id: gridrepublic-20260505-0
file: data/en.wikipedia.org/wiki/GridRepublic-0.md
category: reference
title: GridRepublic
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/GridRepublic
date_saved: 2026-05-05T03:24:35.375240+00:00
instance: kb-cron
parent: gridrepublic-20260505-0
summary:
GridRepublic is a BOINC Account Manager. It focuses on creating a clean and simple way to join and interact with BOINC. GridRepublic was started with a mission to raise public awareness and participation in volunteer computing with BOINC. GridRepublic was formed in 2004 by Matthew Blumberg as a mechanism to control the multiple projects from one place. The code for the BOINC software had to be redesigned to allow for the Account Manager system to be implemented. GridRepublic's website has won numerous awards including being named finalist at the 2007 SXSW Interactive Festival and the 2008 Stockholm Challenge. GridRepublic has also been the recipients of a Google Grant allowing for advertising through Google. == Projects == GridRepublic supports a wide range of the BOINC projects. The list of supported projects and the development status of projects are periodically updated. Some of its popular projects include: Climateprediction.net Climate change modeling on personal computers Einstein@home Pulsar stars from LIGO and GEO data Rosetta@home Protein folding research SETI@home Searching radio and light data for signs of intelligent life == Software == GridRepublic is a non-profit organisation, an online application, and software. The software is open source and a customized version of BOINC. ==


id: hashclash-20260505-0
file: data/en.wikipedia.org/wiki/HashClash-0.md
category: reference
title: HashClash
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/HashClash
date_saved: 2026-05-05T03:24:36.616095+00:00
instance: kb-cron
parent: hashclash-20260505-0
summary:
HashClash was a volunteer computing project running on the Berkeley Open Infrastructure for Network Computing (BOINC) software platform to find collisions in the MD5 hash algorithm. It was based at Department of Mathematics and Computer Science at the Eindhoven University of Technology, and Marc Stevens initiated the project as part of his master's degree thesis. The project ended after Stevens defended his M.Sc. thesis in June 2007. However, SHA1 was added later, and the code repository was ported to git in 2017. The project was used to create a rogue certificate authority certificate in 2009. == See also == Berkeley Open Infrastructure for Network Computing (BOINC) List of volunteer computing projects == References == == External links == HashClash HashClash at Stevens' home page Create your own MD5 collisions on AWS, Nat McHugh's blog


id: help-conquer-cancer-20260505-0
file: data/en.wikipedia.org/wiki/Help_Conquer_Cancer-0.md
category: reference
title: Help Conquer Cancer
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Help_Conquer_Cancer
date_saved: 2026-05-05T03:24:37.822452+00:00
instance: kb-cron
parent: help-conquer-cancer-20260505-0
summary:
Help Conquer Cancer is a volunteer computing project that runs on the BOINC platform. It is a joint project of the Ontario Cancer Institute and the Hauptman-Woodward Medical Research Institute. It is also the first project under World Community Grid to run with a GPU counterpart. == Project Purpose == The goal is to enhance the efficiency of protein X-ray crystallography, which will enable researchers to determine the structure of many cancer-related proteins faster. This will lead to improving the understanding of the function of these proteins, and accelerate the development of new pharmaceutical drugs. == See also == BOINC List of volunteer computing projects World Community Grid == References == == External links == Help Conquer Cancer Archived 2010-01-17 at the Wayback Machine


id: help-cure-muscular-dystrophy-20260505-0
file: data/en.wikipedia.org/wiki/Help_Cure_Muscular_Dystrophy-0.md
category: reference
title: Help Cure Muscular Dystrophy
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Help_Cure_Muscular_Dystrophy
date_saved: 2026-05-05T03:24:42.553225+00:00
instance: kb-cron
parent: help-cure-muscular-dystrophy-20260505-0
summary:
Help Cure Muscular Dystrophy is a volunteer computing project that runs on the BOINC platform. It is a joint effort of the French muscular dystrophy charity, L'Association française contre les myopathies; and L'Institut de biologie moléculaire et cellulaire (Molecular and Cellular Biology Institute). == Project purpose == Help Cure Muscular Dystrophy studies the function of various proteins that are produced by the two hundred genes known to be involved in the production of neuromuscular proteins by modelling the protein-protein interactions of the forty thousand relevant proteins that are listed in the Protein Data Bank. More specifically, it models how a protein would be affected when another protein or a ligand docks with it. == Scientific publications == Decrypting protein surfaces by combining evolution, geometry, and molecular docking. Proteins: Structure, Function, and Bioinformatics (2019). Hidden partners: Using cross-docking calculations to predict binding sites for proteins with multiple interactions. Proteins: Structure, Function, and Bioinformatics (2018). Protein social behavior makes a stronger signal for partner identification than surface geometry. Proteins: Structure, Function, and Bioinformatics (2017). Great interactions: How binding incorrect partners can teach us about protein recognition and function. Proteins: Structure, Function, and Bioinformatics (2016). Protein-Protein Interactions in a Crowded Environment: An Analysis


id: helsinki-challenge-20260505-0
file: data/en.wikipedia.org/wiki/Helsinki_Challenge-0.md
category: reference
title: Helsinki Challenge
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Helsinki_Challenge
date_saved: 2026-05-05T03:24:43.734983+00:00
instance: kb-cron
parent: helsinki-challenge-20260505-0
summary:
Helsinki Challenge is a science-based competition and idea accelerator which brings together the academic community and society at large to solve the world's grand challenges in cooperation. The competition goal is not only to create new scientific information, but to influence society. Multidisciplinary teams consisting of experts from the academic and artistic communities, the business world, the public and third sectors, media and other actors of the society are welcome to take part in the competition. Participating teams are evaluated by the jury using the following criteria: originality, creativity, impact, focus on solutions and use of science-based methods. The competition prize is 375,000 euros and it is meant for the implementation of the solution. Helsinki Challenge was held for the first time in 2015. In 2017, the competition is organised by the University of Helsinki in collaboration with Aalto University, Hanken School of Economics, University of Eastern Finland, University of Jyväskylä, University of Oulu, University of the Arts Helsinki, University of Turku, University of Vaasa and Åbo Akademi University. == Helsinki Challenge 2014–2015 == The first ever Helsinki Challenge was organised by the University of Helsinki and celebrated the University's 375th anniversary in 2015. The first Helsinki Challenge competition themes


id: ibercivis-20260505-0
file: data/en.wikipedia.org/wiki/Ibercivis-0.md
category: reference
title: Ibercivis
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Ibercivis
date_saved: 2026-05-05T03:24:44.935224+00:00
instance: kb-cron
parent: ibercivis-20260505-0
summary:
Ibercivis was a volunteer computing platform which allows internet users to participate in scientific research by donating unused computer cycles to run scientific simulations and other tasks. The original project, which became operational in 2008, was a scientific collaboration between the Portuguese and Spanish governments, but it is open to the general public and scientific community, both within and beyond the Iberian Peninsula. The project's name is a portmanteau of Iberia and the Latin word civis, meaning 'citizen'. In April 2020, the volunteer computing platform was restarted by the Ibercivis Foundation and the Spanish National Research Council in order to screen existing drugs for antiviral activity against Severe acute respiratory syndrome coronavirus 2, the causative agent of the COVID-19 pandemic. == History == Ibercivis was developed in Spain with the cooperation of the Institute of Biocomputation and Physics of Complex Systems at the University of Zaragoza, CIEMAT, CETA-CIEMAT, the Spanish National Research Council (CSIC) and RedIris. The project tasks are issued by different scientific and technological centers in Spain with the aim of creating a functional platform for volunteer-based scientific computing. The project is a European counterpart to the successful United States-based SETI@home and Berkeley Open Infrastructure for Network Computing


id: ibercivis-20260505-1
file: data/en.wikipedia.org/wiki/Ibercivis-1.md
category: reference
title: Ibercivis
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Ibercivis
date_saved: 2026-05-05T03:24:44.935224+00:00
instance: kb-cron
parent: ibercivis-20260505-0
summary:
Fusion: a star on your screen: this application helped scientists at the Research Center for Energy Environment and Technology (CIEMAT) and at the Institute for Biocomputation and Physics of Complex Systems (BIFI) perform simulations of the plasmas that will be produced in the International Thermonuclear Experimental Reactor (ITER). The ITER project, which will begin operation in 2018, seeks to make nuclear fusion power a reality, replicating on Earth conditions typically found inside stars. Docking: looking for anti-cancer drugs: the Docking application assisted the search for new medicines through the simulation of protein docking. The Bioinformatics Unit of the Centro de Biología Molecular Severo Ochoa (CSIC-UAM) developed a platform to allow the automatic simulation of interactions of proteins and small molecules. Its purpose was to find effective drugs to treat serious illnesses, such as cancer. Materials: simulation of magnetic systems: the Materials application aided physicists from the Universidad Complutense de Madrid, Universidad de Extremadura and the Institute for Biocomputation and Physics of Complex Systems in discovering how non-magnetic impurities in magnetic materials modify the properties of their transition from a magnetic state to a non-magnetic one. The knowledge of these transitions is important not only from a theoretical point of view


id: industry-funding-of-academic-research-20260505-0
file: data/en.wikipedia.org/wiki/Industry_funding_of_academic_research-0.md
category: reference
title: Industry funding of academic research
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Industry_funding_of_academic_research
date_saved: 2026-05-05T03:24:46.161929+00:00
instance: kb-cron
parent: industry-funding-of-academic-research-20260505-0
summary:
Industry funding of academic research in the United States is one of the two major sources of research funding in academia along with government support. Currently, private funding of research accounts for the majority of all research and development funding in the United States as of 2007 overall. Overall, Federal and Industrial sources contribute similar amounts to research, while industry funds the vast majority of development work. While the majority of industry research is performed in-house, a major portion of this private research funding is directed to research in non-profit academic centers. As of 1999, industrial sources accounted for an estimated $2.2 billion of academic research funding in the US. However, there is little governmental oversight or tracking of industry funding on academic science and figures of the scale of industry research are often estimated by self-reporting and surveys which can be somewhat unreliable. Much of this industry funding of academic research is directed toward applied research. However, by some accounts, industry may even fund up to 40% of basic research in the United States, with Federal funding of basic research falling below 50%, although this figure does not consider where this research is conducted. The role for funding of


id: industry-funding-of-academic-research-20260505-1
file: data/en.wikipedia.org/wiki/Industry_funding_of_academic_research-1.md
category: reference
title: Industry funding of academic research
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Industry_funding_of_academic_research
date_saved: 2026-05-05T03:24:46.161929+00:00
instance: kb-cron
parent: industry-funding-of-academic-research-20260505-0
summary:
=== University Industry Research Centers (UIRCs) === On a larger scale, there have been numerous attempts to create collaborative University-Industry Research Centers (UIRCs) to jointly host academic and industry researchers to address industry problems with direct, large scale collaborative centers. Early forms of UIRCS started in the 1950s and 1960s with the formation of research parks with industry sponsors. In the 1970s, there were multiple proposals at the federal level in the US to help fund and expand early UIRCs. However, funding fell through at multiple points. The first UIRCs experienced difficulties in bridging the differences between academic and industrial culture. One such attempt occurred at Caltech where Caltech researchers partnered with Xerox and IBM through the Silicon Structures Project. Both industry and academic partners were concerned about the cultures of the other and found the structure ineffective. With such frustrations, it was difficult to secure partners to continue expanding UIRCs. In the late 1970s, RPI created two three new UIRCs: 1) the Center for Integrated Computer Graphics, which received both NSF and industry support 2) the Center for Manufacturing Productivity and Technology Transfer, which was funded entirely by industry support and 3) the Center for Integrated Electronics, which received


id: insect-fear-film-festival-20260505-0
file: data/en.wikipedia.org/wiki/Insect_Fear_Film_Festival-0.md
category: reference
title: Insect Fear Film Festival
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Insect_Fear_Film_Festival
date_saved: 2026-05-05T03:24:47.468923+00:00
instance: kb-cron
parent: insect-fear-film-festival-20260505-0
summary:
The Insect Fear Film Festival or IFFF is an annual free event held every spring since 1984, and is the first university-sponsored event of its kind in the U.S., typically taking place on a Saturday in February. Organized by the Entomology Graduate Students Association at University of Illinois Urbana-Champaign, the festival blends education with entertainment. It showcases films, shorts, and TV episodes that highlight insect biology and celebrate the role of insects in popular culture. The purpose of the event is to dispel fears of insects by providing relative knowledge while various insect-themed monster movies are shown. Before the films begin, May Berenbaum, the festival organizer, the UI Entomology department head and professor, typically introduces each film, providing scientific context, debunking inaccuracies, and exploring why we fear insects. She also points out "biological improbabilities" and filmmaking flaws, often noting that some films are "so bad they’re actually entertaining." (However, the organisers often have to watch the films several times in order to identify a theme and select the best films. "It’s really excruciating sometimes," Berenbaum said.) The festival typically includes several animated shorts and two or three feature-length films. The evening usually starts with a family-friendly film, as parents and


id: insect-fear-film-festival-20260505-1
file: data/en.wikipedia.org/wiki/Insect_Fear_Film_Festival-1.md
category: reference
title: Insect Fear Film Festival
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Insect_Fear_Film_Festival
date_saved: 2026-05-05T03:24:47.468923+00:00
instance: kb-cron
parent: insect-fear-film-festival-20260505-0
summary:
=== Insect art contest === Since 1993, the lFFF also features an Insect Art Contest for K–12 students, since 1993, inviting them to explore their creativity while learning about insects. Students (K–12) are encouraged to submit artwork that depicts insects and arthropods in any medium. The contest aims to inspire young minds to appreciate the beauty and complexity of these creatures, fostering a deeper understanding of the insect world. Winning entries are often displayed at the festival, providing an opportunity for students to showcase their work to the community. In 1990s, the contest was held with the Natural History Museum, where the winning drawings were displayed for two weeks. Due to the pandemic, the 2021 and 2022 Insect Art Contests were held online with a virtual art gallery to showcase students' artwork. In 2023, the contest returned to an in-person format. The insect-themed artwork contest is usually due by mid-February annually. Please submit your artwork to the Entomology Graduate Student Association (EGSA), UIUC, or contact the IFFF coordinators, typically the EGSA presidents, for details. === Bugscope === At the Insect Fear Film Festival (IFFF), attendees will have the opportunity to experience a $600,000 high-resolution scanning electron microscope (SEM) firsthand, gaining


id: insect-fear-film-festival-20260505-2
file: data/en.wikipedia.org/wiki/Insect_Fear_Film_Festival-2.md
category: reference
title: Insect Fear Film Festival
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Insect_Fear_Film_Festival
date_saved: 2026-05-05T03:24:47.468923+00:00
instance: kb-cron
parent: insect-fear-film-festival-20260505-0
summary:
=== 39th annual Insect Fear Film Festival (2022) === The 39th IFFF, themed "Venomous," took place online via Zoom on February 26, 2022. This year's festival featured a variety of engaging and educational activities, including a special presentation by Justin Schmidt, creator of the Schmidt Sting Pain Index, which rates the pain caused by insect stings. Attendees could explore a virtual insect petting zoo, learn about venomous insects through the Bugscope, and take a virtual tour of the Illinois Natural History Survey's insect collection. The event also included fun and interactive elements such as bee ventriloquism, insect-themed crafts, and an art contest featuring insect-themed artwork created by local K-12 students. The film program consisted of a mix of animated and live short films divided into three segments: first, exaggerated comic depictions of insect stings; second, dramatic or humorous reactions to stings, including severe allergic reactions such as anaphylaxis; and third, scientific insights into the world of venomous arthropods, showcasing their various venom delivery methods and potential beneficial uses. A highlight was a live stinging demonstration to provide a first-hand look at the process of venom delivery. The festival highlighted the fascinating diversity of venomous insects, from honeybee stings used for


id: insect-fear-film-festival-20260505-3
file: data/en.wikipedia.org/wiki/Insect_Fear_Film_Festival-3.md
category: reference
title: Insect Fear Film Festival
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Insect_Fear_Film_Festival
date_saved: 2026-05-05T03:24:47.468923+00:00
instance: kb-cron
parent: insect-fear-film-festival-20260505-0
summary:
=== 33rd Annual Insect Fear Film Festival (2016) === The 33rd Annual Insect Fear Film Festival (IFFF) took place on Saturday, February 27, at 6 p.m. in Foellinger Auditorium, with the theme "Exploding Arthropods." The event, hosted by the Entomology Graduate Student Association, highlighted real-life explosive insects, such as bombardier beetles, which spray hot chemicals as a defense, and exploding carpenter ants, which sacrifice themselves to protect their colonies. Parasitoid wasps, whose larvae chew their way out of their hosts, also contributed to the theme. These natural "explosions" were mirrored in the festival's films, featuring mutant cockroaches and giant, lava-breathing tarantulas. The evening featured three films: Palm Rot (2015; 7.5 minutes), Bug (1975), and Lavalantula (2015). The event began with Palm Rot (2015; 7.5 minutes), a short animated film introduced by the event special guest and its creator, Ryan Gillis. Following that, Bug (1975) told the story of a scientist who unintentionally created a breed of intelligent, combustible cockroaches. The evening concluded with Lavalantula (2015), in which giant, lava-spewing tarantulas wreaked havoc in Los Angeles after a volcanic eruption. === 32nd Annual Insect Fear Film Festival (2015) === The 32nd IFFF was held on February 28, 2015, at 6 p.m.


id: insect-fear-film-festival-20260505-4
file: data/en.wikipedia.org/wiki/Insect_Fear_Film_Festival-4.md
category: reference
title: Insect Fear Film Festival
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Insect_Fear_Film_Festival
date_saved: 2026-05-05T03:24:47.468923+00:00
instance: kb-cron
parent: insect-fear-film-festival-20260505-0
summary:
=== 27th Annual Insect Fear Film Festival (2010) === The 27th IFFF, held on February 27, 2010, centered on the theme of prehistoric insects. The event offered an intriguing look into the origins of today's insects, with highlights including fossils like Meganeura, a dragonfly-like creature with a wingspan of nearly 30 inches that lived around 300 million years ago, and trilobites—ancient arthropods that once inhabited the seas. The evening featured animated shorts The Deadly Mantis (1957), where a giant mantis is freed by nuclear testing, and Monster on the Campus (1958), in which a dragonfly's blood contamination turns a scientist into a Neanderthal. The evening also featured screenings of Black Scorpion (1957), in which volcanic activity unleashes giant scorpions in Mexico, followed by Deep Freeze (2001, also known as Ice Crawlers), which depicts the reappearance of grad-student-eating trilobites in the Antarctic. === 26th Annual Insect Fear Film Festival (2009) === The 26th IFFF, themed "Centipede Cinema," took place on February 28, 2009. The event focused on myriapods (centipedes and millipedes), which, despite their many legs, are arthropods, not insects. Centipedes, known for their predatory habits, and millipedes, which feed on decaying matter, were featured for their unique characteristics. The festival


id: insect-fear-film-festival-20260505-5
file: data/en.wikipedia.org/wiki/Insect_Fear_Film_Festival-5.md
category: reference
title: Insect Fear Film Festival
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Insect_Fear_Film_Festival
date_saved: 2026-05-05T03:24:47.468923+00:00
instance: kb-cron
parent: insect-fear-film-festival-20260505-0
summary:
=== 21st Annual Insect Fear Film Festival (2004) === The 21st IFFF, held on February 28, 2004, focused on "genetically engineered insects." This year's theme traced the evolution of insect horror films, from radiation fears in the 1950s to insect mutations in the 1970s. With the rise of gene manipulation in the early 1980s, genetically modified insects became a new horror movie trope, reflecting public fears about the potential risks of emerging technologies. The short films included Bus of the Undead (2001)from Aqua Teen Hunger Force and Insect Inside (1998) from The Powerpuff Girls. This year showcased three featured films: The Tuxedo (2002), in which Jackie Chan stars in a story where genetically engineered water striders grow to enormous size and threaten freshwater supplies. The film inaccurately suggests water striders have queens, which they do not. Mimic (1997), suggested by movie critic Roger Ebert, follows an entomologist who creates genetically modified "Judas Breed" cockroaches to combat a deadly disease, only for the bugs to evolve into human-like creatures that prey on people in New York City's subways. Despite the absurd use of litmus paper to identify the "Judas breed" of cockroaches, the film effectively highlights the dangers of genetic experimentation


id: insect-fear-film-festival-20260505-6
file: data/en.wikipedia.org/wiki/Insect_Fear_Film_Festival-6.md
category: reference
title: Insect Fear Film Festival
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Insect_Fear_Film_Festival
date_saved: 2026-05-05T03:24:47.468923+00:00
instance: kb-cron
parent: insect-fear-film-festival-20260505-0
summary:
=== 15th Annual Insect Fear Film Festival (1998) === The 15th Insect Fear Film Festival (IFFF), held in February 1998, focused on "Roaches Redux." Dr. Berenbaum, the organizer, remarked on the irony that, in 1997, Americans spent approximately $250 million on cockroach poisons, only to spend nearly the same amount watching movies about them. Short films of this year included animated Raid commercials from the 1960s, Warner Brothers' Bingo Crosbyana, episodes of Santa Bugito, and the trailer for Twilight of the Cockroaches. Feature-length highlights included War of the Coprophages (1996), an X-Files episode where Agent Mulder teams up with entomologist Dr. Bambi Berenbaum to battle possible alien cockroaches; Joe’s Apartment (1996), a comedy about a young man befriending singing, dancing cockroaches in New York, with special effects by UIUC alumnus Chris Trimble; and Men in Black (1997), featuring a cockroach-like alien. === 14th Annual Insect Fear Film Festival (1997) === The 15th IFFF, held in February 1997, embraced an "all ants, all the time!" theme and marked the first year the festival was held in Foellinger Auditorium. AN(T)imated shorts of this year included Dance of the Ants, Gay Anties, Ant Pasted, Ants in the Plants, One Less Ant, and Porky’s


id: international-network-of-engineers-and-scientists-for-global-responsibility-20260505-0
category: reference
title: International Network of Engineers and Scientists for Global Responsibility
tags: science, encyclopedia
date_saved: 2026-05-05T03:24:48.680137+00:00
instance: kb-cron
parent: international-network-of-engineers-and-scientists-for-global-responsibility-20260505-0
file:
data/en.wikipedia.org/wiki/International_Network_of_Engineers_and_Scientists_for_Global_Responsibility-0.md

summary:
The International Network of Engineers and Scientists for global responsibility (INES) is an independent non-profit-organization concerned about the impact of science and technology on society. INES efforts focus on disarmament and international peace, ethics in science, responsibilities of scientists and the responsible use of science and technology, just and sustainable development. INES was founded in 1991 in Berlin at the international congress Challenges - Science and Peace in a Rapidly Changing Environment and has become a network of over 200 organisations and individual members. == Challenges for Scientists and Engineers == Rapid changes in our environment and our societies are forcing us to become more conscious of our role in the world. Science and technology are employed in a worldwide competition for military and economic power. The impacts of this competition have global implications. We have entered a phase in which global developments are in conflict with basic requirements for human survival. Large stocks of weapons of mass destruction, the overexploitation of limited common resources, and a heavily unbalanced world economy provide fundamental challenges to human civilisation and may even threaten its existence. Engineers and scientists play a key role, both in developing new knowledge that might threaten international security

source_url:
https://en.wikipedia.org/wiki/International_Network_of_Engineers_and_Scientists_for_Global_Responsibility


id: international-science-festival-in-gothenburg-20260505-0
file: data/en.wikipedia.org/wiki/International_Science_Festival_in_Gothenburg-0.md
category: reference
title: International Science Festival in Gothenburg
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/International_Science_Festival_in_Gothenburg
date_saved: 2026-05-05T03:24:49.829764+00:00
instance: kb-cron
parent: international-science-festival-in-gothenburg-20260505-0
summary:
The International Science Festival in Gothenburg (Swedish: Vetenskapsfestivalen) is an annual festival in Gothenburg with science activities. == About the festival == The International Science Festival in Gothenburg took place for the first time in April 1997 and is since then an annual recurrent event. The purpose is to communicate science to the public and schools in an easy accessible and in a thought provoking manner. Another objective is to create a positive attitude to research and science which is intended to encourage higher education. About 100 000 visitors come each year. This makes it the largest popular science event in Sweden and one of the largest popular science events in Europe. University of Gothenburg and Chalmers University of Technology contributes with the knowledge. The International Science Festival in Gothenburg is a member of the European Science Events Association, EUSCEA. == Theme == Each year a special theme that the festival focuses on is chosen: (translated) 2001: Food and eatables 2002: Travel and science expeditions, Life and Medicine 2003: Love and energy 2004: The meaning of life and sustainable development 2005: Design, physics, Finland 2006: Athletics & health 2007: Passion, pistil and personality 2008: Let's play 2009: Civilization in all


id: italian-union-of-scientists-for-disarmament-20260505-0
file: data/en.wikipedia.org/wiki/Italian_Union_of_Scientists_for_Disarmament-0.md
category: reference
title: Italian Union of Scientists for Disarmament
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Italian_Union_of_Scientists_for_Disarmament
date_saved: 2026-05-05T03:24:51.051160+00:00
instance: kb-cron
parent: italian-union-of-scientists-for-disarmament-20260505-0
summary:
The Italian Union of Scientists for Disarmament (Italian: Unione Scienziati per il Disarmo) is an association established in 1982 with the purpose of providing information and analysis of arms control and disarmament. Members of the association believe that this task is part of the social responsibility of scientists. The issues it addresses include nuclear arms control and disarmament, nuclear proliferation, consequences of nuclear explosions, control of fissile material, developments of military technology, conventional disarmament, chemical and biological disarmament, and general problems of conflict and conflict resolution. Members share their views with Italian policy-makers and opinion-makers. It organizes conferences and meetings, including the biennial Castiglioncello conference, courses and seminars at Italian universities, and courses for high-school teachers. It promotes the establishment of inter-departmental centers of research affiliated to Italian Universities, and has actively collaborated for many years with the CIRP-UniBa (Centro Interdipartimentale di Ricerche sulla Pace, University of Bari). It collaborates with international organizations of scientists and other Italian institutions, such as Archivio Disarmo (Roma) and Forum per i Problemi della Pace e della Guerra (Firenze). Members of USPID participate in Pugwash and ISODARCO meetings. In 1995 it began a standing collaboration with Landau Network-Centro Volta, in Como. This institution organizes,


id: the-lattice-project-20260505-0
file: data/en.wikipedia.org/wiki/The_Lattice_Project-0.md
category: reference
title: The Lattice Project
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/The_Lattice_Project
date_saved: 2026-05-05T03:24:52.459383+00:00
instance: kb-cron
parent: the-lattice-project-20260505-0
summary:
The Lattice Project was a volunteer computing project that combined computing resources, Grid middleware, specialized scientific application software and web services into a comprehensive Grid computing system for scientific analysis. It ran the Genetic Algorithm for Rapid Likelihood Inference (GARLI) software to determine the relationships between different genetic samples. A major aspect of the project makes use of the Berkeley Open Infrastructure for Network Computing (BOINC) platform. The Lattice Project maintained a separate BOINC web site, but the site is dead as of this writing, causing this project to shut down because BOINC depends on this website to get setup information to set this project up on its clients. == References == == External links == The Lattice Project website archive


id: leiden-classical-20260505-0
file: data/en.wikipedia.org/wiki/Leiden_Classical-0.md
category: reference
title: Leiden Classical
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Leiden_Classical
date_saved: 2026-05-05T03:24:53.605084+00:00
instance: kb-cron
parent: leiden-classical-20260505-0
summary:
Leiden Classical was a volunteer computing project run by the Theoretical Chemistry Department of the Leiden Institute of Chemistry at Leiden University. Leiden Classical used the BOINC system, and enabled scientists or science students to submit their own test simulations of various molecules and atoms in a classical mechanics environment. ClassicalDynamics is a program (and with it a library) completely written in C++. The library is covered by the LGPL license and the main program is covered by the GPL. The project shut down on June 5, 2018. == Joining the project == Participation was possible via the BOINC manager. Using this software one was once able to create an account in the project. Then someone can make a model of a dynamic system and simulation participating run. There are several models possible, to interactions between molecules or planets. == User Submitted Calculations == To create a personal calculation, a user's model had to have six defined variables: Colors of the molecules Box in which the model is run Number of particles in the simulation Interaction between the particles Gravity Coulomb force Lennard-Jones interaction Morse interaction Rydberg interaction Harmonic spirit Harmonic bending Recurrent torsion interactions Distance conditions Confirmation parameter(s) ==


id: leo-szilard-lectureship-award-20260505-0
file: data/en.wikipedia.org/wiki/Leo_Szilard_Lectureship_Award-0.md
category: reference
title: Leo Szilard Lectureship Award
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Leo_Szilard_Lectureship_Award
date_saved: 2026-05-05T03:24:58.603863+00:00
instance: kb-cron
parent: leo-szilard-lectureship-award-20260505-0
summary:
The Leo Szilard Lectureship Award (originally called the Leo Szilard Award) is given annually by the American Physical Society (APS) for "outstanding accomplishments by physicists in promoting the use of physics for the benefit of society". It is given internationally in commemoration of physicist Leo Szilard. "In the year's of Szilard's life and activity it became clearer than ever before how great the responsibility of scientists is to the society. And, to a large extent, it is due to Szilard that this awareness began to spread in the scientific community." - Andrei Sakharov It is often awarded to physicists early in their careers who are active in areas such as environmental issues, arms control, or science policy. As of 2015 the recipient is given $3,000 plus $2,000 travel expenses and is expected to lecture at an APS meeting and at educational or research laboratories, to promote awareness of their activities. == Recipients == The award is given yearly and was first presented in 1974. 1974 David R. Inglis 1975 Bernard T. Feld 1976 Richard Garwin 1977 not awarded 1978 Matthew Meselson 1979 Sherwood Rowland 1980 Sidney Drell 1981 Henry Way Kendall, Hans Bethe 1982 Wolfgang K. H. Panofsky 1983 Andrei


id: lhc-home-20260505-0
file: data/en.wikipedia.org/wiki/LHC@home-0.md
category: reference
title: LHC@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/LHC@home
date_saved: 2026-05-05T03:24:59.785328+00:00
instance: kb-cron
parent: lhc-home-20260505-0
summary:
LHC@home is a volunteer computing project researching particle physics that uses the Berkeley Open Infrastructure for Network Computing (BOINC) platform. The project's computing power is utilized by physicists at CERN in support of the Large Hadron Collider and other experimental particle accelerators. The project is run with the help of over 1,260 active volunteer users contributing more than 3,000 computers processing at a combined 52 teraFLOPS as of September 2024. The project is cross-platform, and runs on a variety of computer hardware configurations. == Applications == The LHC@home project currently runs four applications—Atlas, CMS, SixTrack, and Test4Theory—which deal with different aspects of research conducted in LHC such as calculating particle beam stability and simulating proton collisions. Atlas, CMS, and Test4Theory use VirtualBox, an x86 virtualization software package. === Atlas === Atlas uses volunteer computing power to run simulations of the ATLAS experiment. It can be run in VirtualBox or natively on Linux. === Beauty === Beauty (LHCb) compared the decay of bottom quarks (b) and bottom antiquarks (b), which also known as beauty quarks. The participation of volunteers in the application was suspended indefinitely on 19 November 2018. === CMS === The CMS application (formerly a standalone project called CMS@Home)


id: lincoln-s-birthday-committee-for-democracy-and-intellectual-freedom-20260505-0
file: data/en.wikipedia.org/wiki/Lincoln's_Birthday_Committee_for_Democracy_and_Intellectual_Freedom-0.md
category: reference
title: Lincoln's Birthday Committee for Democracy and Intellectual Freedom
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Lincoln's_Birthday_Committee_for_Democracy_and_Intellectual_Freedom
date_saved: 2026-05-05T03:25:01.014505+00:00
instance: kb-cron
parent: lincoln-s-birthday-committee-for-democracy-and-intellectual-freedom-20260505-0
summary:
The Lincoln's Birthday Committee for Democracy and Intellectual Freedom (LBCDIF) was an antifascist organization of scientists founded by Franz Boas in 1938 to discredit the theories of race being forwarded by the Nazis in Germany. In the 1930s Franz Boas was one of the first scientists to become aware of the immense prestige and influence of scientists in that era. Even at his advanced age Boas wanted to find a way to use the influence of scientists to promote human welfare. At Columbia University he collaborated with Ruth Benedict, Leslie Dunn, Robert Lynd, Walter Rautenstrauch, Harold Urey and other members of the University Federation for Democracy and Intellectual Freedom to find a unifying political position that would bring scientists of all disciplines together on a common front. He decided antifascism was such a position, and based on his collaborations wrote the Manifesto on Freedom in Science. In 1938 the Manifesto was released with 1,284 signatures of prominent scientists, including Roger Adams, Robert Oppenheimer and Albert Einstein (see: Einstein Letter to LBCDIF). Boas used the excitement generated by the Manifesto to launch the LBCDIF. Twenty-six meetings were organized to uphold the principles of the Manifesto, and the success of these meetings


id: list-of-astronomy-outreach-resources-in-europe-20260505-0
file: data/en.wikipedia.org/wiki/List_of_Astronomy_Outreach_Resources_in_Europe-0.md
category: reference
title: List of Astronomy Outreach Resources in Europe
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/List_of_Astronomy_Outreach_Resources_in_Europe
date_saved: 2026-05-05T03:25:02.248425+00:00
instance: kb-cron
parent: list-of-astronomy-outreach-resources-in-europe-20260505-0
summary:
This is a List of Astronomy Outreach Resources in Europe originally started as an initiative within the framework of the Astronet EU FP7 project. == Scientific Institutions, Observatories, and National Scientific Societies == === Scientific institutions and Observatories === List of astronomical observatories (not only outreach) IAU Office for Astronomy Outreach European Southern Observatory (ESO) ESO Science Outreach Network (ESON) European Space Agency (ESA) CERN outreach Archived 2009-08-03 at the Wayback Machine Instituto de Astrofísica de Canarias (IAC, Spain) Instituto de Astrofísica de Andalucía (IAA-CSIC, Spain) Spanish National Observatory Centre of AstroBiology (CAB-CSIC, Spain) University of La Rioja (Spain) Dublin Institute for Advanced Studies (Ireland) Queen Mary Astronomical Observatory (UK) University of Oxford Dept of Physics (UK) Nottingham Trend University Observatory (UK) University of Glasgow A&A group (UK) Observatoire de Paris Observatoire de Bordeaux Institut de Radioastronomie Millimétrique (IRAM) GLObal Robotic-telescopes Intelligent Array (GLORIA Project) EU-HOU network of demonstration radio telescopes Italian National Institute for Astrophysics (INAF) Educational resources of INAF (work in progress) Osservatorio Astronomico di Cagliari (Italy) Onsala Space Observatory (Sweden) === National Astronomical Societies === List of astronomical societies AstroWeb Sociedad Española de Astronomía (SEA) Royal Astronomical Society (UK) Swedish Astronomical Society (Sweden) == Science Museums and


id: malaria-control-project-20260505-0
file: data/en.wikipedia.org/wiki/Malaria_Control_Project-0.md
category: reference
title: Malaria Control Project
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Malaria_Control_Project
date_saved: 2026-05-05T03:25:03.446149+00:00
instance: kb-cron
parent: malaria-control-project-20260505-0
summary:
malariacontrol.net was a volunteer computing project to simulate the transmission dynamics and health effects of malaria. It was part of the Africa@home project. The project was terminated on 21 June 2016. == History == The malariacontrol.net domain name was first registered on 19 May 2005 under Swiss Tropical Institute. This project was under Africa@home where the latter was conceived and developed by European Organization for Nuclear Research (CERN). malariacontrol.net was the first to use volunteer computing to model diseases. The model simulates malaria infection in 50,000 to 100,000 people. Each work unit lasted for an hour in average personal computers and the results were returned to University of Geneva for evaluation by researchers. malariacontrol.net ran all the simulations by using stochastic simulation model. Since 4 November 2010, using the financial support from Bill & Melinda Gates Foundation, Malariacontrol.net developed an open-source software named "Open Malaria" which can be used to simulate outcomes in various types of malaria transmission settings. On 21 June 2016, malariacontrol.net announced that the project has been terminated due to financial constraints in upgrading their servers for further volunteer computing operations. == Impact == Over 10 years, malariacontrol.net has produced 30 peer-reviewed articles. In 2008, among the


id: march-of-progress-20260505-0
file: data/en.wikipedia.org/wiki/March_of_Progress-0.md
category: reference
title: March of Progress
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/March_of_Progress
date_saved: 2026-05-05T03:25:04.775139+00:00
instance: kb-cron
parent: march-of-progress-20260505-0
summary:
The March of Progress, originally titled The Road to Homo Sapiens, is an illustration that presents 25 million years of human evolution. It was created for the Early Man volume of the Life Nature Library, published in 1965, and drawn by the artist Rudolph Zallinger. It has been widely parodied and imitated to create images of progress of other kinds. == Illustration == === Context === The illustration is part of a section of text and images commissioned by Time-Life Books for the Early Man volume (1965) of the Life Nature Library, by F. Clark Howell. The illustration is a foldout entitled "The Road to Homo Sapiens". It shows a sequence of figures, drawn by natural history painter and muralist Rudolph Zallinger (1919–1995). The 15 human evolutionary forebears are lined up as if they were marching in a parade from left to right. The first two sentences of the caption read "What were the stages of man's long march from apelike ancestors to sapiens? Beginning at right and progressing across four more pages are milestones of primate and human evolution as scientists know them today, pieced together from the fragmentary fossil evidence." === Sequence of species === The 15 primate


id: march-of-progress-20260505-1
file: data/en.wikipedia.org/wiki/March_of_Progress-1.md
category: reference
title: March of Progress
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/March_of_Progress
date_saved: 2026-05-05T03:25:04.775139+00:00
instance: kb-cron
parent: march-of-progress-20260505-0
summary:
== Parodies and adaptations == The March of Progress has often been imitated, parodied, or adapted for commercial or political purposes. The cover of the 1972 Doors album Full Circle references the March of Progress, as does the 1985 Supertramp album Brother Where You Bound, while the poster for the 1992 comedy film Encino Man shows an ape evolving into a skateboarder. The December 2005 issue of The Economist depicts hominids progressing up a flight of stairs to transform into a woman in a black dress holding a glass of champagne to illustrate "The Story of Man". == Predecessors == Thomas Henry Huxley's frontispiece to his 1863 book Evidence as to Man's Place in Nature was intended simply to compare the skeletons of apes and humans, but its unintentional left-to-right progressionist sequence has according to the historian Jennifer Tucker "become an iconic and instantly recognizable visual shorthand for evolution". An illustration, with the caption "Evolution", showing two sequences of four images, each illustrating a gradual transformation of an animal into a human, appeared in the 1889 edition of Mark Twain's A Connecticut Yankee in King Arthur's Court. == References == == External links == Media related to March of Progress


id: material-world-radio-programme-20260505-0
file: data/en.wikipedia.org/wiki/Material_World_(radio_programme)-0.md
category: reference
title: Material World (radio programme)
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Material_World_(radio_programme)
date_saved: 2026-05-05T03:25:06.026030+00:00
instance: kb-cron
parent: material-world-radio-programme-20260505-0
summary:
Material World was a weekly science magazine programme broadcast on Thursday afternoons on BBC Radio 4. Its regular presenter was Quentin Cooper, with contributions from scientists who were researching areas discussed in each programme. == History == The programme began in April 1998 as The Material World, presented by Trevor Phillips. Phillips was a chemistry graduate of Imperial College, and also one of the few regular black broadcasters on Radio 4. In September 2000, Phillips was told that his close links with the Labour Party conflicted with BBC impartiality rules and meant he could no longer present BBC programmes. He was replaced with Quentin Cooper, who presented the programme until its end in 2013. From 5 April 2010 the programme was repeated on Monday evenings at 21.00, the former slot of Costing the Earth. For a short time, when programmes on 5 Live began webstreaming with video, Material World was also webcast. On 14 June 2013 it was announced that the show was to be cancelled and replaced by a new show, Inside Science. The last programme presented by Quentin Cooper was broadcast on 20 June 2013 with the final episode airing a week later on 27 June 2013, presented


id: milkyway-home-20260505-0
file: data/en.wikipedia.org/wiki/MilkyWay@home-0.md
category: reference
title: MilkyWay@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MilkyWay@home
date_saved: 2026-05-05T03:25:07.293579+00:00
instance: kb-cron
parent: milkyway-home-20260505-0
summary:
MilkyWay@home is a volunteer computing project in the astrophysics category, running on the Berkeley Open Infrastructure for Network Computing (BOINC) platform. Using spare computing power from over 38,000 computers run by over 27,000 active volunteers as of November 2011, the MilkyWay@home project aims to generate accurate three-dimensional dynamic models of stellar streams in the immediate vicinity of the Milky Way. With SETI@home and Einstein@home, it is the third computing project of this type that has the investigation of phenomena in interstellar space as its primary purpose. Its secondary objective is to develop and optimize algorithms for volunteer computing. == Purpose and design == MilkyWay@home is a collaboration between the Rensselaer Polytechnic Institute's departments of Computer Science and Physics, Applied Physics and Astronomy and is supported by the U.S. National Science Foundation. It is operated by a team that includes astrophysicist Heidi Jo Newberg and computer scientists Malik Magdon-Ismail, Bolesław Szymański and Carlos A. Varela. By mid-2009 the project's main astrophysical interest is in the Sagittarius Stream, an immense stellar stream emanating from the Sagittarius Dwarf Spheroidal Galaxy that wraps around the Milky Way. Mapping such interstellar streams and their dynamics with high accuracy may provide crucial clues for understanding the


id: milkyway-home-20260505-1
file: data/en.wikipedia.org/wiki/MilkyWay@home-1.md
category: reference
title: MilkyWay@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MilkyWay@home
date_saved: 2026-05-05T03:25:07.293579+00:00
instance: kb-cron
parent: milkyway-home-20260505-0
summary:
Mendelsohn, Eric J.; Newberg, Heidi Jo; Shelton, Siddhartha; Widrow, Lawrence M.; Thompson, Jeffery M.; Grillmair, Carl J. (1 February 2022). "Estimate of the Mass and Radial Profile of the Orphan–Chenab Stream's Dwarf-galaxy Progenitor Using MilkyWay@home". The Astrophysical Journal. 926 (2): 106. arXiv:2201.03637. Bibcode:2022ApJ...926..106M. doi:10.3847/1538-4357/ac498a. S2CID 245853837. Donlon, T.; Newberg, H.; Weiss, J.; Guffey, A.; Thompson, J. (2021-06-01). "A Trifurcated Sagittarius Stream in the South". AAS/Division of Dynamical Astronomy Meeting. 53 (5): 403.03. Bibcode:2021DDA....5240303D. Mendelsohn, E. J.; Newberg, H. J.; Shelton, S.; Widrow, L.; Thompson, J.; Grillmair, C. (2021-06-01). "Estimate of the Mass and Radial Profile of the Orphan Stream's Dwarf Galaxy Progenitor Using MilkyWay@home". AAS/Division of Dynamical Astronomy Meeting. 53 (5): 403.01. Bibcode:2021DDA....5240301M. Mendelsohn, E. J.; Newberg, H. J.; Donlon, T.; Thompson, J. M. (2020-08-01). "N-Body Simulations with MilkyWay@home". AAS/Division of Dynamical Astronomy Meeting. 52 (4): 200.01. Bibcode:2020DDA....5120001M. Donlon, Thomas; Newberg, Heidi Jo; Sanderson, Robyn; Widrow, Lawrence M. (2020-10-01). "The Milky Way's Shell Structure Reveals the Time of a Radial Collision". The Astrophysical Journal. 902 (2): 119. arXiv:2006.08764. Bibcode:2020ApJ...902..119D. doi:10.3847/1538-4357/abb5f6. S2CID 219708644. Shelton, Siddhartha; Newberg, Heidi Jo; Weiss, Jake; Bauer, Jacob S.; Arsenault, Matthew; Widrow, Larry; Rayment, Clayton; Desell, Travis; Judd, Roland; Magdon-Ismail, Malik; Mendelsohn, Eric; Newby, Matthew; Rice, Colin;


id: milkyway-home-20260505-2
file: data/en.wikipedia.org/wiki/MilkyWay@home-2.md
category: reference
title: MilkyWay@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MilkyWay@home
date_saved: 2026-05-05T03:25:07.293579+00:00
instance: kb-cron
parent: milkyway-home-20260505-0
summary:
Desell, Travis; Szymanski, Boleslaw; Varela, Carlos (2008). "An asynchronous hybrid genetic-simplex search for modeling the Milky Way galaxy using volunteer computing". Proceedings of the 10th annual conference on Genetic and evolutionary computation. pp. 921–928. doi:10.1145/1389095.1389273. ISBN 9781605581309. S2CID 10952453. Cole, Nathan; Newberg, Heidi Jo; Magdon-Ismail, Malik; Desell, Travis; Dawsey, Kristopher; Hayashi, Warren; Liu, Xinyang Fred; Purnell, Jonathan; Szymanski, Boleslaw; Varela, Carlos; Willett, Benjamin; Wisniewski, James (20 August 2008). "Maximum Likelihood Fitting of Tidal Streams with Application to the Sagittarius Dwarf Tidal Tails". The Astrophysical Journal. 683 (2): 750–766. arXiv:0805.2121. Bibcode:2008ApJ...683..750C. doi:10.1086/589681. S2CID 1660060. Desell, Travis; Szymanski, Boleslaw; Varela, Carlos (2008). "Asynchronous genetic search for scientific modeling on large-scale heterogeneous environments". 2008 IEEE International Symposium on Parallel and Distributed Processing. pp. 1–12. doi:10.1109/IPDPS.2008.4536169. ISBN 978-1-4244-1693-6. S2CID 1107218. Szymanski, Boleslaw K.; Desell, Travis; Varela, Carlos (2008). "The Effects of Heterogeneity on Asynchronous Panmictic Genetic Search". Parallel Processing and Applied Mathematics. Lecture Notes in Computer Science. Vol. 4967. pp. 457–468. CiteSeerX 10.1.1.78.2043. doi:10.1007/978-3-540-68111-3_48. ISBN 978-3-540-68105-2. Desell, Travis; Cole, Nathan; Magdon-Ismail, Malik; Newberg, Heidi; Szymanski, Boleslaw; Varela, Carlos (2007). "Distributed and Generic Maximum Likelihood Evaluation". Third IEEE International Conference on e-Science and Grid Computing (E-Science 2007). pp. 337–344. CiteSeerX 10.1.1.65.4065. doi:10.1109/E-SCIENCE.2007.30. ISBN 978-0-7695-3064-2. S2CID


id: mindmodeling-home-20260505-0
file: data/en.wikipedia.org/wiki/MindModeling@Home-0.md
category: reference
title: MindModeling@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MindModeling@Home
date_saved: 2026-05-05T03:25:08.583549+00:00
instance: kb-cron
parent: mindmodeling-home-20260505-0
summary:
MindModeling@Home is an inactive non-profit, volunteer computing research project for the advancement of cognitive science. MindModeling@Home is hosted by Wright State University and the University of Dayton in Dayton, Ohio. In BOINC, it is in the area of Cognitive Science and category called Cognitive science and artificial intelligence. It can only operate on a 64-bit operating system, preferably on a computer with multiple cores, running a Microsoft Windows, Mac OS X, or Linux operating system. This project is not compatible with mobile devices, unlike other projects on BOINC. == Research focus == N-2 Repetition: understanding how people have a harder time returning to a task from another one Observing how people read through their eye movement for the purpose of helping people reduce eye strain and processing what they read better and faster. Modeling decision-making: resolving around decisions made from visual processing (focus and filtering) Integrated Learning Models (ILM) to create algorithms based on how people learn and make decisions How the brain performs tasks sequentially and simultaneously by measuring its blood flow == Problems == Its status is inactive. However, it is "not down or closed," as its servers are still running. The projects are long; prolonged amounts of


id: neo-colonial-science-20260505-0
file: data/en.wikipedia.org/wiki/Neo-colonial_science-0.md
category: reference
title: Neo-colonial science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Neo-colonial_science
date_saved: 2026-05-05T03:25:09.797369+00:00
instance: kb-cron
parent: neo-colonial-science-20260505-0
summary:
Neo-colonial research or neo-colonial science, frequently described as helicopter research, parachute science or research, parasitic research, or safari study, is when researchers from wealthier countries go to a developing country, collect information, travel back to their country, analyze the data and samples, and publish the results with little or no involvement of local researchers. A 2003 study by the Hungarian Academy of Sciences found that 70% of articles in a random sample of publications about least-developed countries did not include a local research co-author. Frequently, during this kind of research, the local colleagues might be used to provide logistics support as fixers but are not engaged for their expertise or given credit for their participation in the research. Scientific publications resulting from parachute science frequently only contribute to the career of the scientists from rich countries, thus limiting the development of local science capacity (such as funded research centers) and the careers of local scientists. This form of "colonial" science has reverberations of 19th century scientific practices of treating non-Western participants as "others" in order to advance colonialism—and critics call for the end of these extractivist practices in order to decolonize knowledge. This kind of research approach reduces the quality


id: neo-colonial-science-20260505-1
file: data/en.wikipedia.org/wiki/Neo-colonial_science-1.md
category: reference
title: Neo-colonial science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Neo-colonial_science
date_saved: 2026-05-05T03:25:09.797369+00:00
instance: kb-cron
parent: neo-colonial-science-20260505-0
summary:
An analysis of research money from 1990 to 2020 for climate change, found that 78% of research money for research on Climate change in Africa, was spent in European and North American institutions and more was spent for former British colonies than other countries. This in turn both prevents local researchers from doing groundbreaking work, because they don't have the funding for experimental activities and reduces investment in local researchers ideas and in topics important to the Global South, such as climate change adaptation. === Soil science === Soil scientists have qualified helicopter research as a perpetuation of "colonial" science. Typically researchers from rich countries would come to establish soil profile pits or collect soil and peat samples, which is often more easily done in poor countries given the availability of cheap labour and goodwill of villagers to dig a pit on their land against small payment. The profile will be described and samples taken with the help of local people, possibly also university staff. In case of helicopter research, the outcomes are then published such as discovery in tropical peatlands, sometimes in high-level journals without the involvement of local colleagues. "Overall, helicopter research tends to produce academic papers that


