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LEADING: Data Science Innovation Across Our National Digital Infrastructure (Invited Session)

Home / Project Briefing Pages / CNI Spring 2022 Project Briefings / LEADING: Data Science Innovation Across Our National Digital Infrastructure (Invited Session)

March 17, 2022

Fellows:
Amanda Whitmire, Stanford University
Chris Wiley, University of Illinois—Urbana Champaign
Chenyue Jiao, University of Illinois—Urbana Champaign
Ateanna Uriri, University of Texas at Rio Grande Valley
Chris Rauch, Drexel University

Principal Investigators:
Jake Williams, Drexel University
Kenning Arlitsch, Montana State University
Rachel Frick, OCLC
Erik Mitchell, University of California, San Diego
Jane Greenberg, Drexel University

The LIS (Library and Information Science) Education and Data Science Integrated Network Group (LEADING) is a Laura Bush 21st Century Librarian National Digital Infrastructures and Initiatives project, supported by the Institute of Museum and Library Services. LEADING is preparing a diverse, nation-wide cohort of LIS doctoral students and early/mid-career librarians for data science endeavors. LEADING ’21 included 24 Fellows, partner members and mentors from libraries, archives, and related initiatives across the U.S., and core team-members four key hubs: Drexel University, OCLC, Montana State University, and the University of California San Diego. This presentation will provide a brief overview of LEADING’s structure and feature LEADING fellows who will give brief summaries of their data science projects. The wrap-up discussion will also highlight plans for LEADING ’22. Read more about the project.
Presentation

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Filed Under: CNI Spring 2022 Project Briefings, Project Briefing Pages, Teaching & Learning
Tagged With: cni2022spring, Project Briefings & Plenary Sessions, Videos

Last updated:  Monday, July 25th, 2022

 

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