REU Professional Development – Interdisciplinary Computational Research
136 DeBartolo Hall
Dr. Paul Brenner
The ND Computational Social Science REU promotes the progress of social science discoveries through the application of advanced computational (computer) applications to solve problems of national interest such as personality analysis (psychology), interpersonal networks (sociology), family savings (economics) and interdisciplinary perspectives on equality and diversity. Broader impacts will include the critical advancement of education in computational social science as identified in the Presidential Information Technology Advisory Committee report and development of the nation’s future social scientists. The program’s engagement of underrepresented groups and the opportunities for interaction with high school students and international research peers will have a broad impact in their professional STEM development.
Paul Brenner researches and directs operations for the Center for Research Computing. His research centers on the advancement of computational infrastructure for scientific discovery. Three current areas of work are secure cloud and distributed systems for science, architecture aware scientific algorithms, and computational social science. Brenner is also an affiliated faculty member of the iNDustry Labs, ND Energy, and the Wireless Institute.