Increasing the “truth per dollar” of money spent on science is one legitimate long-run goal of the economics of science. But before this goal can be achieved, we need to increase our knowledge of the successes and failures of past and current reward structures of science. This essay reviews what economists have learned about the behavior of scientists and the reward structure of science. One important use of such knowledge will be to help policy-makers create a reward structure that is (...) more efficient in the future. (shrink)

The pace of scientific progress may be hindered by the tendency of our academic institutions to reward being popular rather than being right. A market-based alternative, where scientists can more formally 'stake their reputation', is presented here. It offers clear incentives to be careful and honest while contributing to a visible, self-consistent consensus on controversial scientific questions. In addition, it allows patrons to choose questions to be researched without choosing people or methods. The bulk of this paper is spent in (...) examining potential problems with the proposed approach. After this examination, the idea still seems to be plausible and worthy of further study. (shrink)

The experimental method is designed to secure the reliable attribution of causal relationships by means of controlled comparison across conditions. Doing so, however, depends upon the reduction of uncertainties and inconsistencies in the process of comparison; and this poses particularly significant challenges for the behavioral and social sciences because they work with human subjects, whose malleability and complexity often interact in unexpected ways with experimental manipulations, thus resulting in unpredictable behavior. Drawing on the Science and Technology Studies perspective and one (...) of our authors’ experiences in experimental work, this paper examines how experimental social scientists manage to establish objectivity and standardization in the face of vagaries arising from working with human subjects. In identifying experimental researchers’ solutions to this challenge, we draw on methodological discussions among applied social scientists as naturally occurring data, through which we show how some seemingly mundane practices play essential roles in extracting patterns out of otherwise unpredictable behaviors in the lab. Closely examining such strategies, we reveal the inherent instabilities in the experimental method when adopted in the social sciences and discuss their methodological implications. In conclusion, we make tentative suggestions for escaping the kinds of methodological impasses which we have identified. (shrink)