Chairs: Nick Horton (Amherst College) and David Mongeau (University of California, Berkeley)
Many baccalaureate colleges and comprehensive (PhD granting) universities alike now offer data science courses and programs to their students. With a regular cadence, announcements are made about new initiatives, courses, certificates, and degree programs. As they launch and evolve, they need to be structured so students find pathways to position themselves for success in the workforce and in advanced graduate programs. Students also need to find inclusive learning environments that reflect the diversity of our communities. How can we build flexible pathways and environments for students and advance the individual missions and data science visions of our institutions at the same time? How do we achieve both, while coping with ever increasing resource constraints? In this session, we explore academic partnership models. Panelists will share how partnerships are proving to be enormously effective to prepare students while realizing institutional missions and managing resource constraints.

Panelists: Laura Boyd, Director Data Analytics Program, Associate Professor of Economics, Denison University; Kimberly Andrews Espy, Provost & Senior Vice President of Academic Affairs, The University of Texas at San Antonio; Nicholas Horton, Beitzel Professor of Technology and Society (Statistics and Data Science), Amherst College; Talitha Washington, Director of the Data Science Initiative, Atlanta University Center Consortium