LEADING to Data Science in Libraries
Channel: CNI: Coalition for Networked Information
Date: 22/12/2021

Jane Greenberg, Drexel University
Kenning Arlitsch, Montana State University
Erik Mitchell, University of California, San Diego
Lencia Beltran, Emporia State University
HyunSeung Koh, University of Northern Iowa Library
Emily Ping O’Brien, Worcester Polytechnic Institute
Jennifer Proctor, University of Maryland School
Jonathan Young, University of Hawaii at Manoa
Jay Winkler, University of Michigan
 
The Library and Information Sciences (LIS) Education and Data Science Integrated Network Group (LEADING) is an Institute of Museum and Library Sciences (IMLS)-funded project that aims to prepare a diverse, nation-wide cohort of LIS doctoral students and mid-career librarians for data science endeavors. Twenty-four fellows comprise the current cohort, along with mentors who are affiliated with one of three hubs: Drexel University, Montana State University, and the University of California-San Diego. OCLC provides educational support and outreach. This presentation will describe the genesis and structure of the LEADING project and will feature fellows who will give brief summaries of their data science projects. 
 
Learn more: https://www.cni.org/topics/teaching-learning/leading-to-data-science-in-libraries
 
Coalition for Networked Information (CNI)
Presented at Fall 2021 Membership Meeting
Virtual: December 7-9, 2021
In-Person: December 13-14, 2021
 
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