Sort by
ПРОБЛЕМА ДЕМАРКАЦИИ НАУКИ И НЕНАУКИ И ИДЕЯ СЕМЕЙНЫХ СХОДСТВ

The problem of characterization scientific knowledge and its difference from other forms of activity has been discussed since antiquity. Nevertheless, in its modern guise, the problem of demarcation of science and non-science appeared in the works of logical positivists and their critic K. Popper. Thanks to their efforts, this problem has become one of the central problems of the philosophy of science of the XX century. However, the difficulties of the well-known classical and modern criteria of demarcation (including the verificationist and falsificationist criteria) prompted the American philosopher of science L. Laudan to declare «the demise of the demarcation problem». According to Laudan, any satisfactory criterion of demarcation must provide a set of necessary and sufficient conditions, on the basis of which only it will be possible to distinguish between science and non-science. Meanwhile, based on the heterogeneity of the forms of scientific knowledge and long unsuccessful attempts to give a set of necessary and sufficient conditions for what determines science, Laudan concluded that attempts to find the criterion of demarcation are futile. However, as further investigations have showed, Laudan may have been hasty in his conclusions. In particular, one of the promising approaches to the solution of the demarcation problem may be associated with the idea of family resemblance popularized by L. Wittgenstein and the application of developments from the field of fuzzy logic.

Relevant
IPSE DIXIT. РЕЦЕНЗИЯ НА КН. : КАВУНЕНКО Л.Ф., ВЕЛЕНТЕЙЧИК Т.Н. ПРЕДОПРЕДЕЛЕННОСТЬ И НЕОЖИДАННОСТЬ. НАУКОВЕДЧЕСКИЕ ОЧЕРКИ О ЛИДЕРАХ ЦИТИРОВАНИЯ ИСТОРИКОВ НАУКИ И ТЕХНИКИ

An excursion is given through the pages of the book dedicated to the key employees of S.I. Vavilov Institute for the History of Science and Technology of the Russian Academy of Sciences (IHST RAS). In their analysis, the authors of the book rely on a strict scientometric approach. However, the analysis is not limited to this approach. It is shown that the authors of the book appear to be pioneers in the combined genre of scientometrics «with a human face». The strict statistics is supplemented with the biographies of scientists and the memoirs of their colleagues as well. The history of the uneasy relations between the government and IHST, based on the example of the fate of leading scientists, can be traced from the moment of the establishment of the institute to the present day. In the Soviet times, the institute experienced ideological pressure, while today IHST shares the fate of other institutes of the Russian Academy of Sciences. In accordance with the title of the book, the authors are apparently trying to reveal the hidden predetermination of events that determined precisely this or that creative «trajectory» in the biographies of the heroes of the book.

Relevant
МОДЕЛИ УПРАВЛЕНИЯ В СТРАТЕГИЯХ НАУЧНО-ТЕХНОЛОГИЧЕСКОГО РАЗВИТИЯ : РОССИЯ И МИР. (АНАЛИТИЧЕСКИЙ ОБЗОР)

The paper presents an interpretation of the development of theories that led to the formation of the science management model reflected in the Strategy of Scientific and Technological Development of Russia. The author discovers in the Strategy model the principles, which were proclaimed by W. Bush in his report 75 years ago: giving universities the role of drivers of the country innovative development, team organization and a new social contract. Moreover, the Strategy’s practice embodies the same idea of centralizing support for academic research within a single federal agency. In Russia, the Russian Science Foundation has become such an agency. At the same time, further development of management concepts is influenced by foreign trends, including the desire for convergence of sciences in the US research enterprise, the formation of the 3rd generation of innovation policy in Europe, the transition to humanistic terminology in the «Great Reset» project, etc. These trends stimulate Russia's desire to gain a foothold on the «Science Frontier» and offer an adequate response to the Great Challenges. However, to solve these problems, it is necessary to overcome the looseness of the science management structure, implement a hybrid system of public and private support for science, and ensure coordinated efforts within the framework of «bottom-up» innovation processes, with the participation of all stakeholders and with a thorough diagnosis of the strengths and problems of specific regions.

Relevant