Manuela Fernández Pinto

As scientific research moves increasingly to the private sector, the social organization of science undergoes important transformations. Focusing on the production of ignorance, agnotology has been a fruitful approach to understanding the social and epistemic consequences of the recent commercialization of scientific research. Despite their important contributions, scholars working on agnotology seem to hold implicit normative commitments that are in tension with their descriptive accounts of ignorance-constructive practices. The main aim of this article is to uncover these commitments and to expose the emerging tensions. Thus, this article begins an exploration into normative aspects of the studies of ignorance. In particular, it shows that agnotology still needs the support of a well-articulated normative approach capable of identifying and evaluating the epistemic and social concerns raised by the private funding and performance of science.

At least since Kuhn’s Structure, philosophers have studied the influence of social factors in science’s pursuit of truth and knowledge. More recently, formal models and computer simulations have allowed philosophers of science and social epistemologists to dig deeper into the detailed dynamics of scientific research and experimentation, and to develop very seemingly realistic models of the social organization of science. These models purport to be predictive of the optimal allocations of factors, such as diversity of methods used in science, size of groups, and communication channels among researchers. In this paper we argue that the current research faces an empirical challenge. The challenge is to connect simulation models with data. We present possible scenarios about how the challenge may unfold.