The Education Subgroup of SMB is comprised of members who desire to improve the teaching and mentoring of future scientists, and in particular undergraduate and graduate mathematical and computational biology researchers. As new research frontiers emerge, our members seek to understand the best practices to help future researchers of biological questions be successful in this space. Content areas include, but are not limited to the teaching and learning of modeling, computing, data science, and quantitative reasoning. Challenge spaces include, but are not limited to designing learning experiences across disciplines, defining and assessing outcomes for new interdisciplinary and technological spaces, integrating data with mathematical modeling, educational outreach initiatives, and providing an inclusive and diverse environment for learning and for the profession.
Chair: Stacey Smith?, firstname.lastname@example.org