2022 ADSA Spring Meeting

Academic Data Science Alliance

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The 2022 ADSA Spring Meeting will be held on on March 7-9, 2022, at the Beckman Center in Irvine, CA, and feature speakers from academic data science organizations and participating schools nationwide, posters, an art installation, networking, and more. Register and book hotel accommodations at earliest convenience (space is limited), and note that the Beckman Center requires proof of vaccination and mask-wearing indoors in order to attend.

Draft Agenda 

~ University Updates and Discussion
~ Data Science Program Sustainability
~ University Program Partnerships with Industry - Keynote and Panel

~ Engaging Broadly Across Domains
~ Impacted Communities - Keynote and Panel

~ Student Keynotes
~ Creating a Diverse and Dynamic Learning Environment for the Education of Undergraduate Data Science Students
~ Cyberinfrastructure for Data Science
~ Career Development Networking Session
~ Getting Started Working with Industry

About the ADSA Annual Meetings

The goal of the Data Science Leadership Summit is to convene leaders of data science programs and faculty interested in creating new initiatives on their campuses: to form an academic leadership community for data science; to share best practices where they face similar challenges and opportunities; and to take collective responsibility in preparing next-generation data scientists to contribute in the best interests of society.

The Leadership Summit is typically invitation-only. If you are interested in attending future summits, please contact info@academicdatascience.org and remember ADSA Institutional Members get a guaranteed spot! Additionally, individual ADSA members get registration discounts. Learn More about our Leadership Community.

The Academic Data Science Alliance Annual Meeting supports data science practitioners (graduate students, postdocs, staff researchers and faculty), administrators, and educators to collectively address common issues in research, education and training, program administration, and advocacy for data scientist career paths in higher education. Recognizing that researchers in all fields can contribute to the evolution of data science, the Annual Meeting provides a domain-agnostic venue for presenting new data science research and pedagogy.


Microsoft; the National Science Foundation; the Alfred P. Sloan Foundation; the Gordon and Betty Moore Foundation; and the University of North Carolina, Charlotte School of Data Science 

Planning Committee 

Jay Aikat, UNC-Chapel Hill; David A. Bader, New Jersey Institute of Technology; Andreas Berlind, Vanderbilt University; LaTanya Brown-Robertson, Bowie State University; Philip E. Bourne, University of Virginia; David Ebert, University of Oklahoma; Doug Hague, UNC Charlotte; Raghu Machiraju, The Ohio State University; Sarah Stone, University of Washington; Sharon Tettegah, UC Santa Barbara; Amy Wagler, University of Texas at El Paso

Contact ADSA with any questions about this event.