Qualitative Findings from Study of Interdisciplinary Education in Computational Modeling for Life Sciences Student Researchers from Emerging Research Institutions

Abstract

This Work-in-Progress paper in the Research Category explores the unique challenges and opportunities of interdisciplinary education in computational modeling for life sciences student researchers at emerging research institutions (ERIs), specifically in predominantly undergraduate institutions (PUIs), and minority serving institutions (MSIs). Engineering approaches such as computational modeling have underappreciated potential for capacity building for the biomedical research enterprises of ERIs. We perform a bibliometric analysis to assess the prevailing use of computational modeling in life sciences research at MSIs, and PUIs. Additionally, we apply Social and Cognitive Theory to identify unique attitudinal, social and structural barriers for student researchers in learning and using computational modeling approaches at each of these types of institutions. Specifically, we use quantitative retrospective pre- and post-survey data and qualitative interviews of students who have attended a short-format computational modeling training course. We supplement these data with qualitative interviews of the students’ faculty sponsors. Upon completion, this study will provide deeper understanding of issues related to computer science and engineering education at non-Research I institutions.