# kb

id: eurotrac-20260505-0
file: data/en.wikipedia.org/wiki/Eurotrac-0.md
category: reference
title: Eurotrac
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Eurotrac
date_saved: 2026-05-05T03:23:24.459733+00:00
instance: kb-cron
parent: eurotrac-20260505-0
summary:
EUROTRAC (European Experiment on Transportation and Transformation of Environmentally Relevant Trace Constituents) was a joint European scientific research programme within the Eureka Framework. EUROTRAC was accepted as a Eureka project at the second Eureka Ministerial Conference held in Hannover (Germany) in November 1985. After a two-year definition phase, the work started in January 1988 and ended in 1995. At the peak of the programme, it included more than 250 research groups from 24 European countries and its budget exceeded 16 million ECU per year (equivalent to approx. 16 million Euro). == Objectives and focus areas == The objectives of Eurotrac were to: Increase the basic knowledge in atmospheric science; Promote the technological development of sensitive, specific, and fast response instruments for environmental research and monitoring; Improve the scientific basis for future political decisions on environmental management in European countries. EUROTRAC studied the impact of human activities on the troposphere over Europe, focusing on: The chemistry and transport of photo-oxidants (especially ozone) in the troposphere The processes leading to the formation of acidity in the atmosphere The uptake and release of atmospheric trace substances by the biosphere. EUROTRAC was an interdisciplinary programme involving field experiments and campaigns, laboratory studies, comprehensive model


id: ideonomy-20260505-0
file: data/en.wikipedia.org/wiki/Ideonomy-0.md
category: reference
title: Ideonomy
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Ideonomy
date_saved: 2026-05-05T03:23:25.646281+00:00
instance: kb-cron
parent: ideonomy-20260505-0
summary:
Ideonomy is a combinatorial "science of ideas" developed by American independent scholar Patrick M. Gunkel (1947–2017). Specifically, Ideonomy is concerned with the systematic organization of ideas and the discovery of the rules behind how ideas combine, diverge, and transform. Gunkel defined ideonomy as "the science of the laws of ideas and of the application of such laws to the generation of all possible ideas in connection with any subject, idea, or thing." In his 1992 book A History of Knowledge, Charles Van Doren compared ideonomy to a "mining operation" that excavates meanings and thought to discover treasures hidden deep within language. Sources from the 1980s and 1990s demonstrate that ideonomy was useful to academic researchers in fields including biology, toxicology, and nursing/patient care. Beginning in the 2010s, academics in a wide range of fields including machine learning, marketing, computational modeling, and cybersecurity have relied on materials generated for ideonomy to provide methodological support for their research. == Etymology and definition == The word "ideonomy" combines the Greek roots ideo- (from idea, meaning pattern or form) and -nomy (from nomos, meaning law or custom). The suffix -nomy suggests the laws concerning or the totality of knowledge about a given subject, as


id: ideonomy-20260505-1
file: data/en.wikipedia.org/wiki/Ideonomy-1.md
category: reference
title: Ideonomy
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Ideonomy
date_saved: 2026-05-05T03:23:25.646281+00:00
instance: kb-cron
parent: ideonomy-20260505-0
summary:
Edward Fredkin, former director of MIT's computer science laboratory, who praised Gunkel's "provocative ideas on artificial intelligence." Marvin Minsky, AI scientist and MIT professor, who described ideonomy as "perhaps the most extensive study of ways to generate ideas." Frederick Seitz, president emeritus of Rockefeller University, who noted Gunkel's "encyclopedic scope" Robert C. Clark, Harvard law professor, who called Gunkel "the most intelligent person I ever met" However, skeptics questioned whether ideonomy constituted a genuine science. Fredkin himself noted that Gunkel "pours out about 60 ideas a minute, and 59 of them are bad," though he added that "even with one good idea out of 60, it's still an amazing accomplishment." Douglas Lenat observed that brainstorming with Gunkel was "a bit like being hit over the head by the muse with a sledgehammer" and that "he puts people off." Gunkel himself acknowledged that ideonomy was in its infancy and might seem "absurdly utopian." His planned magnum opus on ideonomy remained incomplete, and was posted on an MIT website thanks to faculty advisor Whitman Richards. Gunkel wrote: "Pioneering in a completely new field, yes in a new science, is almost unreal. It is heartbreaking, it is pitiable, it is almost inhuman. Honestly,


id: peter-lwabi-20260505-0
file: data/en.wikipedia.org/wiki/Peter_Lwabi-0.md
category: reference
title: Peter Lwabi
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Peter_Lwabi
date_saved: 2026-05-05T03:23:26.834130+00:00
instance: kb-cron
parent: peter-lwabi-20260505-0
summary:
Lwabi Peter Solomon is a consultant pediatric cardiologist at Mulago National Referral Hospital in Kampala, Uganda. He concurrently serves as the deputy executive director of Uganda Heart Institute (UHI). He also serves as the Head of the Pediatric Cardiology Division at Makerere University School of Medicine. Peter Lwabi also sits on the Board of Directors of UHI. Lwabi is a Senior Consultant cardiac pediatrician who has trained numerous medical personnel, including nurses, medical students, postgraduate students, and cardiology fellows. He provides mentorship and clinical oversight to research and training initiatives, == Education and background == He holds bachelors of medicine and bachelors of surgery and masters of medicine, paediatrics & child health == Leadership == He worked as the president of the Uganda Heart Association. He also head of the Pediatric Cardiology Division at the Makerere University School of Medicine.A member of the Board of Directors at the Uganda Heart Institute == See also == Roy Mugerwa Aggrey Kiyingi == References == == External links == Website of Uganda Ministry of Health Archived 2024-11-25 at the Wayback Machine A bad heart condition has caused her body to swell


id: physics-20260505-0
file: data/en.wikipedia.org/wiki/Physics-0.md
category: reference
title: Physics
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Physics
date_saved: 2026-05-05T03:23:28.076442+00:00
instance: kb-cron
parent: physics-20260505-0
summary:
Physics is the scientific study of matter, its fundamental constituents, its motion and behavior through space and time, and the related entities of energy and force. It is one of the most fundamental scientific disciplines. A scientist who specializes in the field of physics is called a physicist. Physics is one of the oldest academic disciplines. Over much of the past two millennia, physics, chemistry, biology, and certain branches of mathematics were part of natural philosophy, but during the Scientific Revolution in the 17th century, these natural sciences branched into separate research endeavors. Physics intersects with many interdisciplinary areas of research, such as biophysics and quantum chemistry, and the boundaries of physics are not rigidly defined. New ideas in physics often explain the fundamental mechanisms studied by other sciences and suggest new avenues of research in these and other academic disciplines, such as mathematics and philosophy. Advances in physics often enable new technologies. For example, advances in the understanding of electromagnetism, solid-state physics, and nuclear physics led directly to the development of technologies that have transformed modern society, such as television, computers, domestic appliances, and nuclear weapons; advances in thermodynamics led to the development of industrialization; and advances in mechanics


id: physics-20260505-1
file: data/en.wikipedia.org/wiki/Physics-1.md
category: reference
title: Physics
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Physics
date_saved: 2026-05-05T03:23:28.076442+00:00
instance: kb-cron
parent: physics-20260505-0
summary:
The Western Roman Empire fell to invaders and internal decay in the fifth century, resulting in a decline in intellectual pursuits in western Europe. By contrast, the Eastern Roman Empire (usually known as the Byzantine Empire) resisted the attacks from invaders and continued to advance various fields of learning, including physics. In the sixth century, John Philoponus challenged the dominant Aristotelian approach to science although much of his work was focused on Christian theology. In the sixth century, Isidore of Miletus created an important compilation of Archimedes' works that are copied in the Archimedes Palimpsest. Islamic scholarship inherited Aristotelian physics from the Greeks and during the Islamic Golden Age developed it further. The most notable innovations under Islamic scholarship were in the field of optics and vision, which came from the works of many scientists like Ibn Sahl, Al-Kindi, Ibn al-Haytham, Al-Farisi and Avicenna. In his Book of Optics (also known as Kitāb al-Manāẓir) Ibn al-Haytham presented the idea of light rays as an alternative to the ancient Greek idea about visual rays. Like Ptolemy, Ibn al-Haytham applied controlled experiments, verifying the laws of refraction and reflection with the new concept of light rays, but still lacking the concept of


id: physics-20260505-2
file: data/en.wikipedia.org/wiki/Physics-2.md
category: reference
title: Physics
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Physics
date_saved: 2026-05-05T03:23:28.076442+00:00
instance: kb-cron
parent: physics-20260505-0
summary:
Classical physics includes the traditional branches and topics that were recognized and well-developed before the beginning of the 20th century—classical mechanics, thermodynamics, and electromagnetism. Classical mechanics is concerned with bodies acted on by forces and bodies in motion and may be divided into statics (study of the forces on a body or bodies not subject to an acceleration), kinematics (study of motion without regard to its causes), and dynamics (study of motion and the forces that affect it); mechanics may also be divided into solid mechanics and fluid mechanics (known together as continuum mechanics), the latter include such branches as hydrostatics, hydrodynamics and pneumatics. Acoustics is the study of how sound is produced, controlled, transmitted and received. Important modern branches of acoustics include ultrasonics, the study of sound waves of very high frequency beyond the range of human hearing; bioacoustics, the physics of animal calls and hearing; and electroacoustics, the manipulation of audible sound waves using electronics. Optics, the study of light, is concerned not only with visible light but also with infrared and ultraviolet radiation, which exhibit all of the phenomena of visible light except visibility, e.g., reflection, refraction, interference, diffraction, dispersion, and polarization of light. Heat is a


id: physics-20260505-3
file: data/en.wikipedia.org/wiki/Physics-3.md
category: reference
title: Physics
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Physics
date_saved: 2026-05-05T03:23:28.076442+00:00
instance: kb-cron
parent: physics-20260505-0
summary:
=== Scope and aims === Physics covers a wide range of phenomena, from elementary particles (such as quarks, neutrinos, and electrons) to the largest superclusters of galaxies. Included in these phenomena are the most basic objects composing all other things. Therefore, physics is sometimes called the "fundamental science". Physics aims to describe the various phenomena that occur in nature in terms of simpler phenomena. Thus, physics aims to both connect the things observable to humans to root causes, and then connect these causes together. For example, the ancient Chinese observed that certain rocks (lodestone and magnetite) were attracted to one another by an invisible force. This effect was later called magnetism, which was first rigorously studied in the 17th century. But even before the Chinese discovered magnetism, the ancient Greeks knew of other objects such as amber, that when rubbed with fur would cause a similar invisible attraction between the two. This was also first studied rigorously in the 17th century and came to be called electricity. Thus, physics had come to understand two observations of nature in terms of some root cause (electricity and magnetism). However, further work in the 19th century revealed that these two forces were just


id: physics-20260505-4
file: data/en.wikipedia.org/wiki/Physics-4.md
category: reference
title: Physics
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Physics
date_saved: 2026-05-05T03:23:28.076442+00:00
instance: kb-cron
parent: physics-20260505-0
summary:
Atomic, molecular, and optical physics (AMO) is the study of matter—matter and light—matter interactions on the scale of single atoms and molecules. The three areas are grouped together because of their interrelationships, the similarity of methods used, and the commonality of their relevant energy scales. All three areas include both classical, semi-classical and quantum treatments; they can treat their subject from a microscopic view (in contrast to a macroscopic view). Atomic physics studies the electron shells of atoms. Current research focuses on activities in quantum control, cooling and trapping of atoms and ions, low-temperature collision dynamics and the effects of electron correlation on structure and dynamics. Atomic physics is influenced by the nucleus (see hyperfine splitting), but intra-nuclear phenomena such as fission and fusion are considered part of nuclear physics. Molecular physics focuses on multi-atomic structures and their internal and external interactions with matter and light. Optical physics is distinct from optics in that it tends to focus not on the control of classical light fields by macroscopic objects but on the fundamental properties of optical fields and their interactions with matter in the microscopic realm. ==== Condensed matter ==== Condensed matter physics is the field of physics that deals


id: physics-20260505-5
file: data/en.wikipedia.org/wiki/Physics-5.md
category: reference
title: Physics
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Physics
date_saved: 2026-05-05T03:23:28.076442+00:00
instance: kb-cron
parent: physics-20260505-0
summary:
Ontology is a prerequisite for physics, but not for mathematics. It means physics is ultimately concerned with descriptions of the real world, while mathematics is concerned with abstract patterns, even beyond the real world. Thus physics statements are synthetic, while mathematical statements are analytic. Mathematics contains hypotheses, while physics contains theories. Mathematics statements have to be only logically true, while predictions of physics statements must match observed and experimental data. The distinction is clear-cut, but not always obvious. For example, mathematical physics is the application of mathematics in physics. Its methods are mathematical, but its subject is physical. The problems in this field start with a "mathematical model of a physical situation" (system) and a "mathematical description of a physical law" that will be applied to that system. Every mathematical statement used for solving has a hard-to-find physical meaning. The final mathematical solution has an easier-to-find meaning, because it is what the solver is looking for. === Fundamental vs. applied physics === Physics is a branch of fundamental science (also called basic science). Physics is also called "the fundamental science" because all branches of natural science including chemistry, astronomy, geology, and biology are constrained by laws of physics. Similarly, chemistry


id: scienticide-20260505-0
file: data/en.wikipedia.org/wiki/Scienticide-0.md
category: reference
title: Scienticide
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Scienticide
date_saved: 2026-05-05T03:23:29.302484+00:00
instance: kb-cron
parent: scienticide-20260505-0
summary:
Scienticide is a concept used to refer to various multifaceted processes or phenomena that lead to the harassment, reduction, or outright destruction of scientific and technological systems in some countries of the world, as well as the exile or abandonment of researchers from their places of training. These can occur for various reasons, such as wars, political repression, lack of opportunities, climate crises, foreign interventions, economic policies, or ideological persecution. == Etymology == The term metaphorically refers to the "murder of science," as it combines the word *science* with the Latin suffix - *cidium*, which comes from the root *caedĕre* ("to kill"). A comparative use of the term has been proposed alongside "femicide", as part of policies aimed at eliminating the scientific and technological systems of a country. == History == The first references to this concept using the English word "scienticide" date back to the 1990s when it was used to refer to the destruction of the network of educational, scientific, and research institutions created by the Anti-Fascist Council for the National Liberation of Yugoslavia between 1942 and 1945. The educational system established was systematically attacked by the Yugoslav Army in the Homeland, commonly known as *Chetniks*, a nationalist,


id: scientific-lacuna-20260505-0
file: data/en.wikipedia.org/wiki/Scientific_lacuna-0.md
category: reference
title: Scientific lacuna
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Scientific_lacuna
date_saved: 2026-05-05T03:23:30.486703+00:00
instance: kb-cron
parent: scientific-lacuna-20260505-0
summary:
Scientific lacuna describes an area of science that has not been studied but has the potential to be studied scientifically. Often, this may be the case because it falls between different areas of sciences, such that it doesn't fall into a single specific discipline of science. However, it also may be the case that the right situation for study has not yet occurred, or the conditions for study have been too ephemeral. Scientific lacunae often have the potential to be studied in the future when more areas of sciences are explicitly defined or the right conditions do occur, yet this can be made difficult if the area of science is commonly not considered a proper area for scientific study. == References ==


id: scientism-20260505-0
file: data/en.wikipedia.org/wiki/Scientism-0.md
category: reference
title: Scientism
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Scientism
date_saved: 2026-05-05T03:23:31.695544+00:00
instance: kb-cron
parent: scientism-20260505-0
summary:
Scientism is the belief that science and the scientific method are the best or only way to render truth about the world and reality. While the term was defined originally to mean "methods and attitudes typical of or attributed to natural scientists", some scholars, as well as political and religious leaders, have also adopted it as a pejorative term with the meaning "an exaggerated trust in the efficacy of the methods of natural science applied to all areas of investigation (as in philosophy, the social sciences, and the humanities)". == Overview == Francis Bacon has been viewed by some scholars as an early proponent of scientism, but this is a modern assertion as Bacon was a devout Anglican, writing in his Essays, "a little philosophy inclineth man's mind to atheism, but depth in philosophy bringeth men's minds about to religion." With respect to the philosophy of science, the term scientism frequently implies a critique of the more extreme expressions of logical positivism and has been used by social scientists such as Friedrich Hayek, philosophers of science such as Karl Popper, and philosophers such as Mary Midgley, the later Hilary Putnam, and Tzvetan Todorov to describe (for example) the dogmatic endorsement


id: scientism-20260505-1
file: data/en.wikipedia.org/wiki/Scientism-1.md
category: reference
title: Scientism
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Scientism
date_saved: 2026-05-05T03:23:31.695544+00:00
instance: kb-cron
parent: scientism-20260505-0
summary:
It is used to criticize a totalizing opinion of science as if it were capable of describing all reality and knowledge, or as if it were the only true method to acquire knowledge about reality and the nature of things; It is used, often pejoratively, to denote violations by which the theories and methods of one (scientific) discipline are applied inappropriately to another (scientific or non-scientific) discipline and its domain. An example of this second usage is to term as scientism any attempt to claim science as the only or primary source of human values (a traditional domain of ethics) or as the source of meaning and purpose (a traditional domain of religion and related worldviews). The term scientism was popularized by F. A. Hayek, who defined it in 1942 as the "slavish imitation of the method and language of Science". Mathematician Alexander Grothendieck, in his 1971 essay "The New Universal Church", characterized scientism as a religion-like ideology that advocates scientific reductionism, scientific authoritarianism, political technocracy and technological salvation, while denying the epistemological validity of feelings and experiences such as love, emotion, beauty and fulfillment. He predicted that "in coming years, the chief political dividing line will fall less and


id: scientism-20260505-2
file: data/en.wikipedia.org/wiki/Scientism-2.md
category: reference
title: Scientism
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Scientism
date_saved: 2026-05-05T03:23:31.695544+00:00
instance: kb-cron
parent: scientism-20260505-0
summary:
== Relevance to debates about science and religion == Both religious and non-religious scholars have applied the term scientism to individuals associated with New Atheism. Theologian John Haught argued that philosopher Daniel Dennett and other New Atheists subscribe to a belief system of scientific naturalism, which includes the dogma that "only nature, including humans and our creations, is real: that God does not exist; and that science alone can give us complete and reliable knowledge of reality." Haught argued that this belief system is self-refuting since it requires its adherents to assent to beliefs that violate its own stated requirements for knowledge. Christian philosopher Peter Williams argued in 2013 that it is only by conflating science with scientism that New Atheists feel qualified to "pontificate on metaphysical issues". Daniel Dennett responded to religious criticism of his 2006 book Breaking the Spell: Religion as a Natural Phenomenon by saying that accusations of scientism "[are] an all-purpose, wild-card smear ... When someone puts forward a scientific theory that [religious critics] really don't like, they just try to discredit it as 'scientism'. But when it comes to facts, and explanations of facts, science is the only game in town". Non-religious scholars have also


id: scientism-20260505-3
file: data/en.wikipedia.org/wiki/Scientism-3.md
category: reference
title: Scientism
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Scientism
date_saved: 2026-05-05T03:23:31.695544+00:00
instance: kb-cron
parent: scientism-20260505-0
summary:
Thomas M. Lessl argued that religious themes persist in what he terms scientism, the public rhetoric of science. There are two methods of describing this idea of scientism: the epistemological method (the assumption that the scientific method trumps other ways of knowing) and the ontological method (that the rational mind represents the world and both operate in knowable ways). According to Lessl, the ontological method is an attempt to "resolve the conflict between rationalism and skepticism". Lessl also argued that without scientism, there would not be a scientific culture. == Rationalization and modernity == In the introduction to his collected works on the sociology of religion, Max Weber asked why "the scientific, the artistic, the political, or the economic development [elsewhere] ... did not enter upon that path of rationalization which is peculiar to the Occident?" According to the German social theorist Jürgen Habermas, "For Weber, the intrinsic (that is, not merely contingent) relationship between modernity and what he called 'Occidental rationalism' was still self-evident." Weber described a process of rationalisation, disenchantment and the "disintegration of religious world views" that resulted in modern secular societies and capitalism. "Modernization" was introduced as a technical term only in the 1950s. It is


id: uganda-medical-association-20260505-0
file: data/en.wikipedia.org/wiki/Uganda_Medical_Association-0.md
category: reference
title: Uganda Medical Association
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Uganda_Medical_Association
date_saved: 2026-05-05T03:23:36.348617+00:00
instance: kb-cron
parent: uganda-medical-association-20260505-0
summary:
The Uganda Medical Association (UMA), is a registered non-governmental, professional organization that brings together all the qualified and duly registered medical doctors in Uganda. == Location == The association maintains its headquarters at Chrisams Designs Building, Kafeeero Road, Old Mulago. Kampala | P.O. Box 2243, Kampala, Uganda, in the central business district of Kampala, the capital and largest city of Uganda. The geographical coordinates of the headquarters of UMA are:Latitude: 0.344796; Longitude: 32.573614). == Objectives == The Association focuses on advocating for doctors' welfare, continuous medical education and training, upholding medical ethics and patient safety, and strengthening public health systems through partnerships with government and NGOs As an association for medical practitioners, this association also focuses on the following. To contribute to universal access to health and health care. To promote professional ethical standards among medical doctors in Uganda. To promote the welfare of medical doctors in Uganda. To mobilize doctors to join and encourage them to actively participate in the Association's activities. To strengthen the financial base of the Association. == Overview == According to the Association's website, UMA has five focus areas: (1) to "contribute to universal access to health and health care" (2) to "promote professional ethical


id: applied-science-20260505-0
file: data/en.wikipedia.org/wiki/Applied_science-0.md
category: reference
title: Applied science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Applied_science
date_saved: 2026-05-05T03:23:39.420865+00:00
instance: kb-cron
parent: applied-science-20260505-0
summary:
Applied science is the application of the scientific method and scientific knowledge to attain practical goals. It includes a broad range of disciplines, such as engineering and medicine. Applied science is often contrasted with basic science, which is focused on advancing scientific theories and laws that explain and predict natural or other phenomena. There are applied natural sciences, as well as applied formal and social sciences. Applied science examples include genetic epidemiology which applies statistics and probability theory, and applied psychology, including criminology. == Applied research == Applied research is the use of empirical methods to collect data for practical purposes. It accesses and uses accumulated theories, knowledge, methods, and techniques for a specific state, business, or client-driven purpose. In contrast to engineering, applied research does not include analyses or optimization of business, economics, and costs. Applied research can be better understood in any area when contrasting it with basic or pure research. Basic geographical research strives to create new theories and methods that aid in explaining the processes that shape the spatial structure of physical or human environments. Instead, applied research utilizes existing geographical theories and methods to comprehend and address particular empirical issues. Applied research usually has specific


id: formal-science-20260505-0
file: data/en.wikipedia.org/wiki/Formal_science-0.md
category: reference
title: Formal science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Formal_science
date_saved: 2026-05-05T03:23:40.581119+00:00
instance: kb-cron
parent: formal-science-20260505-0
summary:
Formal science is a branch of science studying disciplines concerned with abstract structures described by formal systems. Whereas the natural sciences and social sciences seek to characterize physical systems and social systems, respectively, using theoretical and empirical methods, the formal sciences use language tools concerned with characterizing abstract structures described by formal systems and the deductions that can be made from them. The formal sciences aid the natural and social sciences by providing information about the structures used to describe the physical world, and what inferences may be made about them. == Branches == Logic (also a branch of philosophy) Mathematics Statistics Theoretical computer science Artificial intelligence Game theory Systems theory Theoretical linguistics Decision theory Systems science Data science Information theory Computer science Cryptography == Differences from other sciences == One reason why mathematics enjoys special esteem, above all other sciences, is that its laws are absolutely certain and indisputable, while those of other sciences are to some extent debatable and in constant danger of being overthrown by newly discovered facts. Because of their non-empirical nature, formal sciences are construed by outlining a set of axioms and definitions from which other statements (theorems) are deduced. For this reason, in Rudolf


id: natural-science-20260505-0
file: data/en.wikipedia.org/wiki/Natural_science-0.md
category: reference
title: Natural science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Natural_science
date_saved: 2026-05-05T03:23:41.697253+00:00
instance: kb-cron
parent: natural-science-20260505-0
summary:
Natural science or empirical science is a branch of science concerned with the description, understanding, and prediction of natural phenomena, based on empirical evidence from observation and experimentation. Mechanisms such as peer review and reproducibility 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. Physical science is subdivided into physics, astronomy, Earth science, and chemistry. These branches of natural science may be further divided into more specialized branches, also known as fields. As empirical sciences, natural sciences use tools from the formal sciences, such as mathematics and logic, converting information about nature into measurements that can be explained as clear statements of the "laws of nature". Modern natural science succeeded more classical approaches to natural philosophy. Galileo Galilei, Johannes Kepler, René Descartes, Francis Bacon, and Isaac Newton debated the benefits of a more mathematical as against a more experimental method in investigating nature. Still, philosophical perspectives, conjectures, and presuppositions, often overlooked, remain necessary in natural science. Systematic data collection, including discovery science, succeeded natural history, which emerged in the 16th century by describing and classifying


id: natural-science-20260505-1
file: data/en.wikipedia.org/wiki/Natural_science-1.md
category: reference
title: Natural science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Natural_science
date_saved: 2026-05-05T03:23:41.697253+00:00
instance: kb-cron
parent: natural-science-20260505-0
summary:
Planetary science, or planetology, is the scientific study of planets, which include terrestrial planets like the Earth, and other types of planets, such as gas giants and ice giants. Planetary science also concerns other celestial bodies, such as dwarf planets, moons, asteroids, and comets. This largely includes the Solar System, but recently has started to expand to exoplanets, particularly terrestrial exoplanets. It explores various objects, spanning from micrometeoroids to gas giants, to establish their composition, movements, genesis, interrelation, and past. Planetary science is an interdisciplinary domain, having originated from astronomy and Earth science, and currently encompassing a multitude of areas, such as planetary geology, cosmochemistry, atmospheric science, physics, oceanography, hydrology, theoretical planetology, glaciology, and exoplanetology. Related fields encompass space physics, which delves into the impact of the Sun on the bodies in the Solar System, and astrobiology. Planetary science comprises interconnected observational and theoretical branches. Observational research entails a combination of space exploration, primarily through robotic spacecraft missions utilizing remote sensing, and comparative experimental work conducted in Earth-based laboratories. The theoretical aspect involves extensive mathematical modelling and computer simulation. Typically, planetary scientists are situated within astronomy and physics or Earth sciences departments in universities or research centers. However, there are


id: natural-science-20260505-2
file: data/en.wikipedia.org/wiki/Natural_science-2.md
category: reference
title: Natural science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Natural_science
date_saved: 2026-05-05T03:23:41.697253+00:00
instance: kb-cron
parent: natural-science-20260505-0
summary:
This discipline is the science of celestial objects and phenomena that originate outside the Earth's atmosphere. It is concerned with the evolution, physics, chemistry, meteorology, geology, and motion of celestial objects, as well as the formation and development of the universe. Astronomy includes examining, studying, and modeling stars, planets, and comets. Most of the information used by astronomers is gathered by remote observation. However, some laboratory reproduction of celestial phenomena has been performed (such as the molecular chemistry of the interstellar medium). There is considerable overlap with physics and in some areas of earth science. There are also interdisciplinary fields such as astrophysics, planetary sciences, and cosmology, along with allied disciplines such as space physics and astrochemistry. While the study of celestial features and phenomena can be traced back to antiquity, the scientific methodology of this field began to develop in the middle of the 17th century. A key factor was Galileo's introduction of the telescope to examine the night sky in more detail. The mathematical treatment of astronomy began with Newton's development of celestial mechanics and the laws of gravitation. However, it was triggered by earlier work of astronomers such as Kepler. By the 19th century, astronomy had developed


id: natural-science-20260505-3
file: data/en.wikipedia.org/wiki/Natural_science-3.md
category: reference
title: Natural science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Natural_science
date_saved: 2026-05-05T03:23:41.697253+00:00
instance: kb-cron
parent: natural-science-20260505-0
summary:
Some scholars trace the origins of natural science as far back as pre-literate human societies, where understanding the natural world was necessary for survival. People observed and built up knowledge about the behaviour of animals and the usefulness of plants as food and medicine, which was passed down from generation to generation. These primitive understandings gave way to more formalized inquiry around 3500 to 3000 BC in the Mesopotamian and Ancient Egyptian cultures, which produced the first known written evidence of natural philosophy, the precursor of natural science. While the writings show an interest in astronomy, mathematics, and other aspects of the physical world, the ultimate aim of inquiry about nature's workings was, in all cases, religious or mythological, not scientific. A tradition of scientific inquiry also emerged in Ancient China, where Taoist alchemists and philosophers experimented with elixirs to extend life and cure ailments. They focused on the yin and yang, or contrasting elements in nature; the yin was associated with femininity and coldness, while yang was associated with masculinity and warmth. The five phases – fire, earth, metal, wood, and water – described a cycle of transformations in nature. The water turned into wood, which turned into the


id: natural-science-20260505-4
file: data/en.wikipedia.org/wiki/Natural_science-4.md
category: reference
title: Natural science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Natural_science
date_saved: 2026-05-05T03:23:41.697253+00:00
instance: kb-cron
parent: natural-science-20260505-0
summary:
Aristotle's works and other Greek natural philosophy did not reach the West until about the middle of the 12th century, when works were translated from Greek and Arabic into Latin. The development of European civilization later in the Middle Ages brought with it further advances in natural philosophy. European inventions such as the horseshoe, horse collar and crop rotation allowed for rapid population growth, eventually giving way to urbanization and the foundation of schools connected to monasteries and cathedrals in modern-day France and England. Aided by the schools, an approach to Christian theology developed that sought to answer questions about nature and other subjects using logic. This approach, however, was seen by some detractors as heresy. By the 12th century, Western European scholars and philosophers came into contact with a body of knowledge of which they had previously been ignorant: a large corpus of works in Greek and Arabic that were preserved by Islamic scholars. Through translation into Latin, Western Europe was introduced to Aristotle and his natural philosophy. These works were taught at new universities in Paris and Oxford by the early 13th century, although the practice was frowned upon by the Catholic church. A 1210 decree from the


id: natural-science-20260505-5
file: data/en.wikipedia.org/wiki/Natural_science-5.md
category: reference
title: Natural science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Natural_science
date_saved: 2026-05-05T03:23:41.697253+00:00
instance: kb-cron
parent: natural-science-20260505-0
summary:
The titles of Galileo's work Two New Sciences and Johannes Kepler's New Astronomy underscored the atmosphere of change that took hold in the 17th century as Aristotle was dismissed in favour of novel methods of inquiry into the natural world. Bacon was instrumental in popularizing this change; he argued that people should use the arts and sciences to gain dominion over nature. To achieve this, he wrote that "human life [must] be endowed with discoveries and powers." He defined natural philosophy as "the knowledge of Causes and secret motions of things; and enlarging the bounds of Human Empire, to the effecting of all things possible." Bacon proposed that scientific inquiry be supported by the state and fed by the collaborative research of scientists, a vision that was unprecedented in its scope, ambition, and forms at the time. Natural philosophers came to view nature increasingly as a mechanism that could be taken apart and understood, much like a complex clock. Natural philosophers including Isaac Newton, Evangelista Torricelli and Francesco Redi, Edme Mariotte, Jean-Baptiste Denis and Jacques Rohault conducted experiments focusing on the flow of water, measuring atmospheric pressure using a barometer and disproving spontaneous generation. Scientific societies and scientific journals emerged


id: natural-science-20260505-6
file: data/en.wikipedia.org/wiki/Natural_science-6.md
category: reference
title: Natural science
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Natural_science
date_saved: 2026-05-05T03:23:41.697253+00:00
instance: kb-cron
parent: natural-science-20260505-0
summary:
Aside from the logical and mathematical sciences, there are three great branches of natural science which stand apart by reason of the variety of far reaching deductions drawn from a small number of primary postulates — they are mechanics, electrodynamics, and thermodynamics. Today, natural sciences are more commonly divided into life sciences, such as botany and zoology, and physical sciences, which include physics, chemistry, astronomy, and Earth sciences. == See also == Branches of science Empiricism List of academic disciplines and sub-disciplines Natural history Natural Sciences (Cambridge), for the Tripos at the University of Cambridge == References == === Bibliography === == Further reading == Defining Natural Sciences Ledoux, S. F., 2002: Defining Natural Sciences, Behaviourology Today, 5(1), 34–36. Stokes, Donald E. (1997). Pasteur's Quadrant: Basic Science and Technological Innovation. Revised and translated by Albert V. Carozzi and Marguerite Carozzi. Washington, D.C.: Brookings Institution Press. ISBN 978-0-8157-8177-6. The History of Recent Science and Technology Natural Sciences Contains updated information on research in the Natural Sciences including biology, geography and the applied life and earth sciences. Reviews of Books About Natural Science This site contains over 50 previously published reviews of books about natural science, plus selected essays on timely topics


id: social-science-20260505-0
file: data/en.wikipedia.org/wiki/Social_science-0.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:
Social science (or the social sciences) is one of the branches of science, devoted to the study of societies and the relationships among members within those societies. The term was formerly used to refer to the field of sociology, the original "science of society", established in the 18th century. It now encompasses a wide array of additional academic disciplines, including anthropology, archaeology, economics, geography, history, linguistics, management, communication studies, psychology, sociology, culturology, and political science. The majority of positivist social scientists use methods resembling those used in the natural sciences as tools for understanding societies, and so define science in its stricter modern sense. Speculative social scientists, otherwise known as interpretivist scientists, by contrast, may use social critique or symbolic interpretation rather than constructing empirically falsifiable theories, and thus treat science in its broader sense. In modern academic practice, researchers are often eclectic, using multiple methodologies (combining both quantitative and qualitative research). To gain a deeper understanding of complex human behavior in digital environments, social science disciplines have increasingly integrated interdisciplinary approaches, big data, and computational tools. The term social research has also acquired a degree of autonomy as practitioners from various disciplines share similar goals and methods. == History


id: social-science-20260505-1
file: data/en.wikipedia.org/wiki/Social_science-1.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:
Social science and humanities have a mutual contempt for one another, the former looking down on the latter as unscientific, the latter regarding the former as philistine. [...] The difference comes down to the fact that social science really wants to be predictive, meaning that man is predictable, while the humanities say that he is not. == Branches == The social science disciplines are branches of knowledge taught and researched at the college or university level. Social science disciplines are defined and recognized by the academic journals in which research is published, and the learned social science societies and academic departments or faculties to which their practitioners belong. Social science fields of study usually have several sub-disciplines or branches, and the distinguishing lines between these are often both arbitrary and ambiguous. The following are widely-considered to be social sciences: === Anthropology === Anthropology is the holistic "science of man", a science of the totality of human existence. The discipline deals with the integration of different aspects of the social sciences, humanities, and human biology. In the twentieth century, academic disciplines have often been institutionally divided into three broad domains. Firstly, the natural sciences seek to derive general laws through reproducible


id: social-science-20260505-2
file: data/en.wikipedia.org/wiki/Social_science-2.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:
Economics has two broad branches: microeconomics, where the unit of analysis is the individual agent, such as a household or firm, and macroeconomics, where the unit of analysis is an economy as a whole. Another division of the subject distinguishes positive economics, which seeks to predict and explain economic phenomena, from normative economics, which orders choices and actions by some criterion; such orderings necessarily involve subjective value judgments. Since the early part of the 20th century, economics has focused largely on measurable quantities, employing both theoretical models and empirical analysis. Quantitative models, however, can be traced as far back as the physiocratic school. Economic reasoning has been increasingly applied in recent decades to other social situations such as politics, law, psychology, history, religion, marriage and family life, and other social interactions. The expanding domain of economics in the social sciences has been described as economic imperialism. === Education === Education encompasses teaching and learning specific skills, and also something less tangible but more profound: the imparting of knowledge, positive judgement and well-developed wisdom. Education has as one of its fundamental aspects the imparting of culture from generation to generation (see socialization). To educate means 'to draw out', from the Latin


id: social-science-20260505-3
file: data/en.wikipedia.org/wiki/Social_science-3.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:
Linguistics investigates the cognitive and social aspects of human language. The field is divided into areas that focus on aspects of the linguistic signal, such as syntax (the study of the rules that govern the structure of sentences), semantics (the study of meaning), morphology (the study of the structure of words), phonetics (the study of speech sounds) and phonology (the study of the abstract sound system of a particular language); however, work in areas like evolutionary linguistics (the study of the origins and evolution of language) and psycholinguistics (the study of psychological factors in human language) cut across these divisions. The overwhelming majority of modern research in linguistics takes a predominantly synchronic perspective (focusing on language at a particular point in time), and a great deal of it—partly owing to the influence of Noam Chomsky—aims at formulating theories of the cognitive processing of language. However, language does not exist in a vacuum, or only in the brain, and approaches like contact linguistics, creole studies, discourse analysis, social interactional linguistics, and sociolinguistics explore language in its social context. Sociolinguistics often makes use of traditional quantitative analysis and statistics in investigating the frequency of features, while some disciplines, like contact linguistics, focus


id: social-science-20260505-4
file: data/en.wikipedia.org/wiki/Social_science-4.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:
Sociology is the systematic study of society, individuals' relationship to their societies, the consequences of difference, and other aspects of human social action. The meaning of the word comes from the suffix -logy, which means "study of", derived from Ancient Greek, and the stem soci-, which is from the Latin word socius, meaning "companion", or society in general. Auguste Comte (1798–1857) coined the term sociology to describe a way to apply natural science principles and techniques to the social world in 1838. Comte endeavoured to unify history, psychology and economics through the descriptive understanding of the social realm. He proposed that social ills could be remedied through sociological positivism, an epistemological approach outlined in The Course in Positive Philosophy [1830–1842] and A General View of Positivism (1844). Though Comte is generally regarded as the "Father of Sociology", the discipline was formally established by another French thinker, Émile Durkheim (1858–1917), who developed positivism as a foundation to practical social research. Durkheim set up the first European department of sociology at the University of Bordeaux in 1895, publishing his Rules of the Sociological Method. In 1896, he established the journal L'Année sociologique. Durkheim's seminal monograph, Suicide (1897), a case study of suicide


id: social-science-20260505-5
file: data/en.wikipedia.org/wiki/Social_science-5.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:
Archaeology, a science that is focused on the study of human cultures by means of the recovery, documentation, analysis, and interpretation of material remains and environmental data, including architecture, artifacts, features, and landscapes. Area studies, interdisciplinary fields of research and scholarship pertaining to particular geographical, national/federal, or cultural regions. Behavioural science, which encompasses disciplines that explore the activities of and interactions among organisms in the natural world. Computational social science, an umbrella field encompassing computational approaches within the social sciences. Demography, the statistical study of human populations. Development studies, a branch of social science that addresses issues of concern to developing countries. Environmental social science, the broad study of interrelations between humans and the natural environment. Environmental studies, which integrates social, humanistic, and natural science perspectives on the relation between humans and the natural environment. Gender studies, which is focused on the study of gender identity, masculinity, femininity, transgender issues, and sexuality. Information science, an interdisciplinary science primarily concerned with the collection, classification, manipulation, storage, retrieval and dissemination of information. International studies, which covers both international relations (the study of foreign affairs and global issues among states within the international system) and international education. Legal management, a social sciences discipline


id: social-science-20260505-6
file: data/en.wikipedia.org/wiki/Social_science-6.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:
Quantitative designs approach social phenomena through quantifiable evidence, and often rely on statistical analysis of many cases (or across intentionally designed treatments in an experiment) to create valid and reliable general claims. Qualitative designs emphasize understanding of social phenomena through direct observation, communication with participants, or analysis of texts, and may stress contextual and subjective accuracy over generality. Social scientists will commonly combine quantitative and qualitative approaches as part of a multi-strategy design. Questionnaires, field-based data collection, archival database information and laboratory-based data collections are some of the measurement techniques used. It is noted the importance of measurement and analysis, focusing on the (difficult to achieve) goal of objective research or statistical hypothesis testing. A mathematical model uses mathematical language to describe a system. The process of developing a mathematical model is termed 'mathematical modelling' (also modeling). A mathematical model is "a representation of the essential aspects of an existing system (or a system to be constructed) that presents knowledge of that system in usable form". Mathematical models can take many forms, including but not limited to dynamical systems, statistical models, differential equations, or game theoretic models. These and other types of models can overlap, with a given model involving


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


