(Georgia Institute of Technology, 2010-11-01)
Porter, Alan L.; Carley, Stephen; Melkers, Julia; Xiao, Fang
Rapid changes occurring in scientific fields such as nanotechnology, biotechnology, and information technology increase the challenges technology managers and science policy makers alike face when determining the best course for research program strategy, management, and evaluation. Among other things, it is increasingly important to understand relationships, both cognitive and social, among research domains. In this panel, GaTech presenters discuss how using text-mining tools to analyze large sets of science and technology information provides indicators and insights into these critical questions. This presentation addresses the benefits and related issues in combining survey-based social network data with bibliometric data in the study of scientific collaboration. Preliminary results of on-going research are presented.