Saturday, January 19, 2008

Scientific method


The scientific method seeks to explain the events of nature in a reproducible way, and to use these reproductions to make useful predictions. It is done through observation of natural phenomena, and/or through experimentation that tries to simulate natural events under controlled conditions. It provides an objective process to find solutions to problems in a number of scientific and technological fields. Often scientists have a preference for one outcome over another, and scientists are conscientious that it is important that this preference does not bias their interpretation. A strict following of the scientific method attempts to minimize the influence of a scientist's bias on the outcome of an experiment. This can be achieved by correct experimental design, and a thorough peer review of the experimental results as well as conclusions of a study.

Scientific institutions


Learned societies for the communication and promotion of scientific thought and experimentation have existed since the Renaissance period.[22] The oldest surviving institution is the Accademia dei Lincei in Italy.[23] National Academy of Sciences are distinguished institutions that exist in a number of countries, beginning with the British Royal Society in 1660[24] and the French Académie des Sciences in 1666.[25]
International scientific organizations, such as the International Council for Science, have since been formed to promote cooperation between the scientific communities of different nations. More recently, influential government agencies have been created to support scientific research, including the National Science Foundation in the U.S.

Mathematics and the scientific method


Mathematics is essential to many sciences. One important function of mathematics in science is the role it plays in the expression of scientific models. Observing and collecting measurements, as well as hypothesizing and predicting, often require mathematical models and extensive use of mathematics. Mathematical branches most often used in science include calculus and statistics, although virtually every branch of mathematics has applications, even "pure" areas such as number theory and topology. Mathematics is fundamental to the understanding of the natural sciences and the social sciences, all of which rely heavily on statistics. Statistical methods, comprised of accepted mathematical formulas for summarizing data, allow scientists to assess the level of reliability and the range of variation in experimental results.

Philosophy of science

The philosophy of science seeks to understand the nature and justification of scientific knowledge and its ethical implications. It has proven difficult to provide a definitive account of the scientific method that can decisively serve to distinguish science from non-science. Thus there are legitimate arguments about exactly where the borders are. There is nonetheless a set of core precepts that have broad consensus among published philosophers of science and within the scientific community at large. (see: Problem of demarcation)
Science is reasoned-based analysis of sensation upon our awareness. As such, the scientific method cannot deduce anything about the realm of reality that is beyond what is observable by existing or theoretical means. When a manifestation of our reality previously considered supernatural is understood in the terms of causes and consequences, it acquires a scientific explanation.

Science


Science (from the Latin scientia, 'knowledge'), in a historical sense, refers to any systematic knowledge or practice.[1] The modern use of the term refers to a system of acquiring knowledge based on the scientific method, as well as to the organized body of knowledge gained through such research.[2][3]
Fields of science are commonly classified along two major lines:
* Natural sciences, which study natural phenomena (including biological life), and * Social sciences, which study human behavior and societies.
These groupings are empirical sciences, which means the knowledge must be based on observable phenomena and capable of being experimented for its validity by other researchers working under the same conditions.[4]