Using a round-robin data set assembled from over 60 teams of more than 500 scientists and engineers across a variety of science and engineering disciplines, as well as longitudinal research productivity data, this study examines differences in how men and women in science and engineering teams evaluate their colleagues’ expertise and how that affects team performance. Because these teams are as...

Collaborations among interdisciplinary scientists are playing an increasingly important role in science innovations. As it is very difficult for a researcher to master the full knowledge of his/her targeted research areas, how to find suitable collaborators of complementary expertise has turned to be a key factor for researchers to succeed. With the expansion of the Web, the availability of she...

Expertise modelling has been the subject of extensive research in two main disciplines Information Retrieval (IR) and Social Network Analysis (SNA). Both IR and SNA techniques build the expertise model through a document-centric approach providing a macro-perspective on the knowledge emerging from large corpus of static documents. With the emergence of the Web of Data, there has been a signific...

Knowledge-based systems (KBS), which represent the knowledge and problem-solving expertise of human experts as well as other sources of expertise in narrow knowledge domains, have been used to support group decision-making. This research studied the use of a KBS and its explanation facilities to support group decision-making of experts versus novices in a laboratory setting. Consistent with pre...

Compared with introductory physics, relatively little is known about the development of expertise in advanced physics courses, especially in the case of quantum mechanics. Here, we describe a framework for understanding the patterns of student reasoning difficulties and how students develop expertise in quantum mechanics. The framework posits that the challenges many students face in developing...