Skip to main content
  • Training Students Concurrently in Data Science and Team Science: Results and Lessons Learned from Multi-institutional Interdisciplinary Student-led Research Teams 2012-2018

  • Posted in Articles : Monday, July 1, 2019

    Summary:

    Our engaged learning model of training provides diverse students with immediately useful
    data science skills, while learning to work in interdisciplinary, multi-institutional research teams that quickly progress to co-producing conference and journal publications.

    Keywords: Data Science, R, Interdisciplinary Teams, Engaged Learning, Diversity



    Associated Files

    working paper (PDF)

Copyright © Purdue University, all rights reserved. Purdue University is an equal access/equal opportunity university.

Contact the College of Science at sciencehelp@purdue.edu for trouble accessing this page. Made possible by grant NSF CCF-0939370