What credentials does evolutionary epistemology have as science? A judgement based on past performance, both in terms of advancing an empirical programme and further ng theory construction, is not much. This paper briefly outlines some of the research areas, both theoretical and empirical, that can be developed and that might secure for evolutionary epistemology a future in evolutionary biology.

This paper raises the question of the prominence and use of statistical graphs in science, and argues that their use in problem solving analysis can best be understood in an ‘interactionist’ frame of analysis, including bio-emotion, culture, social organization, and environment as elements. The frame contrasts both with philosophical realism and with social constructivism, which posit two variables and one way causal flows. We next posit basic differences between visual, verbal, and numerical media of perception and communication. Graphs are thus (...) seen as key interactive sites where different media are transformed into more interpretable forms. Examples are taken from Limnology where numbers are transformed into graphs to find patterns in them, and thus, by implication in the environmental materials from which the numerical measurements were taken. Their revisualization by passes a human cognitive limitation, for the direct analysis — interpretation of lists and tables of numbers, visual imaging being a cognitive strength. Sense of problem, conceptual repertoire, and social relations are seen to direct this pattern search and interpretive process. (shrink)

There are many things that philosophy of biology might be. But, given the existence of a professional philosophy of biology that is arguably a progressive research program and, as such, unrivaled, it makes sense to define philosophy of biology more narrowly than the totality of intersecting concerns biologists and philosophers (let alone other scholars) might have. The reasons for the success of the “new” philosophy of biology remain poorly understood. I reflect on what Dutch and Flemish, and, more generally, European (...) philosophers of biology could do to improve the situation of their discipline locally, regionally, and internationally, paying particular attention to the lessons to be learned from the “Science Wars.”. (shrink)

Shera, the library scientist, is often credited with introducing the term and concept of social epistemology; but his idea is most profitably viewed not as a contribution to epistemology or even to the sociology of knowledge, but rather as the forerunner of a document-focused strain of socio-cognitive psychology influential in the information sciences from the 1970s onwards. In turn, the work of Shera and his colleague Egan is itself reminiscent of the psychological bibliology defined by the documentalists Otlet and Rubakin (...) in the early 20th century. (shrink)

Fullerand Rouse are both political social epistemologists concerned with the cognitive authority of science, though both disagree on what role it should play in science. Fullerar gues that political factors such as knowledge policy and a constitution play a primary role in the global legitimation of scientific knowledge, while Rouse holds that politics play a role on the local (practices) level but not on the global (metascientific) level of legitimation. While Fullerpr ovides a political response to the legitimation project, Rouse (...) rejects the legitimation project because he holds that it involves the need forglobal legitimation of the place of scientific knowledge in our culture. Key Words: legitimation project • social epistemology • epistemic sovereignty • metascience • scientific knowledge. (shrink)

The author of the present paper argues that while trying to explain the institutional success of the science and its broad social impact, it is worth throwing aside the arguments concerning the universal traits of human nature, changes in the human mentality, or transformation of the culture and civilization, such as the development of capitalism or bureaucratic power. In the 16th century no new man emerged, and no mutants with overgrown brains work in modern laboratories. So one must also reject (...) the Great Divide between the cultures of the scientific and pre-scientific and replace it with multiple, uncertain and unexpected ‘not-so-great divides’, which can be described in meticulous anthropological studies. Although the achievements of science are certainly spectacular, and the gap between scientific practice and other areas of activity is so obvious, this does not mean that one must look for the \"great\" reasons behind this situation. One should rather focus on quite down-to-earth practices and tools used by scientists. A significant part of their activities can be described by referring to the craft of writing, reading and transforming of various types of inscriptions (records), and broadly understood visualization – their combining, performing, interpreting, confronting, comparing, shifting, shuffling etc. The important role of these tools and methods is especially visible in situations of scientific controversy. It is so because scientific controversies are won by the one able to muster on the spot the largest number of well aligned and faithful allies, and the technology of writing, printing and visualizing play a special role in mobilizing them. These are necessary to ensure that certain factors can be mobile – easy to move from place to place, and yet, immutable – not undergoing deformation as a result of the movement. This way, scientists are able to not only diffuse different types of factors relevant to the dispute and the process of constituting science, but also concentrate them in the centers of calculation, where, through accumulation, one can take actions not available elsewhere. (shrink)

ArgumentKuhnian phases of paradigmatic development correspond to characteristic variations of citation measures. These correlations can in turn be predicted from a simple model of human information processing when applied to the common environments of scientists. By combining a scientometric and a human information processing approach to the history of scientific thought, structures of disciplinary development, and in particular paradigmatic cycles, can be more reliably assessed than before. Consequently, the quantitative historian of science is liberated to some extent from the vagaries (...) of qualitative judgment, as exemplified by traditional narrative type approaches to the history of science. (shrink)