1. Creating a Balanced Data Science Program
2. Ani Adhikari , John DeNero , and Michael I . Jordan . 2021 . Interleaving Computational and Inferential Thinking: Data Science for Undergraduates at Berkeley. Harvard Data Science Review 3 (30 4 2021). Issue 2. https://doi.org/10.1162/99608f92.cb0fa8d2 https://hdsr.mitpress.mit.edu/pub/e69066t4. Ani Adhikari, John DeNero, and Michael I. Jordan. 2021. Interleaving Computational and Inferential Thinking: Data Science for Undergraduates at Berkeley. Harvard Data Science Review 3 (30 4 2021). Issue 2. https://doi.org/10.1162/99608f92.cb0fa8d2 https://hdsr.mitpress.mit.edu/pub/e69066t4.
3. Experiential Learning in Data Science: Developing an Interdisciplinary, Client-Sponsored Capstone Program
4. The state of play
5. Jean R. S. Blair , Lawrence Jones , Paul Leidig , Scott Murray , Rajendra K. Raj , and Carol J. Romanowski . 2021 . Establishing ABET Accreditation Criteria for Data Science. In SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education. 535--540 . Jean R. S. Blair, Lawrence Jones, Paul Leidig, Scott Murray, Rajendra K. Raj, and Carol J. Romanowski. 2021. Establishing ABET Accreditation Criteria for Data Science. In SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education. 535--540.