S&T Networks
Science and the flow of scientific knowledge occur within a set of networks among scientists and institutions. Researchers often collaborate with colleagues who are disciplinariliy diverse and may work in other sectors or countries. Knowledege produced during the process of scientific discovery is often dispersed widely, but has traditionally been captured using bibliometric analysis of publication and citation data. That research has done much to improve the understanding about the characteristics of science networks and the conduct of science.
More recently, the adpatation of social network methods has been effectively used at the micro-level, in the evaluation of center-based research, as well as in exploring the collaborative ties that link individuals and groups of individuals. While network data drawn from social network methods can be useful to delineate fields of research, individual-level data drawn from surveys can capture activity and knowledge exchange that precede tangible collaboration outputs such as publications and grants.
The STE Policy Lab conducts network based evaluations of NSF Centers and also applies network analysis to research on the development and evolution of scientific networks and the contributions that network dynamics have on science outcomes and on scientists careers.
