Joel Thurston is a Senior Scientist and Research Manager with the University of Virginia Biocomplexity Institute Social and Decision Analytics division. Joel received his Ph.D. in Social Psychology from the University of California Santa Barbara (UCSB). Prior to joining the Biocomplexity Institute, he worked for the UCSB Center for Evolutionary Psychology and the U.S. Army Research Institute. Joel is interested in studying the interface of group perception and group dynamics, conceptualizing and measuring emergent group properties, and the science of team science. He seeks to apply measurement theory and social science research methodologies to develop analytic techniques for administrative data, addressing topics such as how intragroup processes, like cohesion and morale, contribute to individual and team performance.
As a research manager, Joel leverages his background in administration and group dynamics to develop organizational infrastructure in support of team science within the Social and Decision Analytics division. His work in this area runs the gamut from examining the impact of meeting structure to the use of specific software platforms and how telecommuting policies impact team productivity. He supports efforts across the Biocomplexity Institute, such as coordinating their diversity, equity, and inclusion initiatives, and assisting the Network Systems Science and Advanced Computing division with Institutional Review Board procedures.
- Group Dynamics
- Group Perception
- Conceptual Process Mapping
- Measurement Theory
- Research Methodology
- Science of Team Science
Ph.D. in Social Psychology, University of California Santa Barbara
B.S. in Psychology, University of Pittsburgh
B.S.B.A. in Business Management, University of Pittsburgh
Excitement filled the air at the 2023 Computing for Global Challenges (C4GC) Symposium on Thursday, July 27th. Over the span of eight weeks, students representing diverse collegiate institutions worked with mentors from the Biocomplexity Institute (BI) on projects embracing real-world challenges and questions.