Radical Partnerships: Expanding Academic Collaboration in Data and Computational Sciences
Channel: CNI: Coalition for Networked Information
Date: 2022-04-19

Joel Herndon, Duke University
Stephanie Labou, University of California, San Diego
Tim Dennis, University of California, Los Angeles
Harrison Dekker, University of Rhode Island

As academic libraries build support for data analytics, data visualization, machine learning, and data management, these services receive enthusiastic support in the form of high levels of student and researcher engagement. Yet the academic curriculum for data science remains highly fragmented as well as constantly evolving, making this a challenging space to meet student and researcher demands. How can libraries build constructive partnerships and contribute to the growing desire of many research institutions to integrate data science as a fundamental element in the academic curriculum? This panel brings together four librarians actively partnering with initiatives designed to plan, create, and deliver data science curricula, research support, and training. This panel will consider the keys to successful partnerships and initiatives in a space that challenges traditional pedagogical strategies and blurs curricular boundaries.
 
Learn more: https://www.cni.org/topics/teaching-learning/radical-partnerships-expanding-academic-collaboration
 
Coalition for Networked Information (CNI)
Presented at Spring 2022 Membership Meeting
Virtual: March 21-22, 2022
In-Person: March 28-29, 2022
 
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