Workshop on AI & Analytics for Social Good

May 5, 2023

This workshop brings together academics, thought leaders and stakeholders to discuss how analytics can support nonprofit organizations, government entities and social impact organizations in improving their reach and impact through innovative use of data and models. The overarching theme is analytics for doing good.

The conference will be held at the Smith School of Business at the University of Maryland. Registration will close on April 30, 2023.

Organizing Committee

Important Dates

  1. Abstract deadline: March 15, 2023
  2. Notification of Acceptance: April 1, 2023
  3. Conference Date: May 5, 2023

Confirmed Speakers

Alessandro AcquistiAlessandro Acquisti
Trustees Professor of Information Technology and Public Policy
PwC William W. Cooper Professor Of Risk And Regulatory Innovation
Heinz College, Carnegie Mellon University

Uttara AnanthakrishnanUttara Ananthakrishnan
Assistant Professor of Information Systems
Foster School of Business, University of Washington

Rachel CummingsRachel Cummings
Assistant Professor of Industrial Engineering and Operations Research
Columbia University in the City of New York

Hal Daumé IIIHal Daumé III
Pier Giorgio Perotto Endowed Professor, Department of Computer Science
University of Maryland

Nickolas FreemanNickolas Freeman
Associate Professor of Operations Management
University of Alabama

Dean KnoxDean Knox
Assistant Professor of Operations, Information and Decisions
Assistant Professor of Statistics and Data Science
The Wharton School, The University of Pennsylvania


Christine Custis
Head of Fairness, Transparency, Accountability and Safety
Partnership on AI

Debbie Hellman
David Lurton Massee, Jr., Professor of Law
F. Palmer Weber Research Professor of Civil Liberties and Human Rights
Director, Center for Law & Philosophy
University of Virginia School of Law

Lizzie Kumar
Computer Science PhD candidate
Brown University Center for Technological Responsibility, Reimagination, and Redesign

Anne WashingtonAnne Washington
Assistant Professor of Data Policy
NYU Steinhardt School


Lauren Rhue
Assistant Professor of Information Systems
Robert H. Smith School of Business

Submission Instructions

We invite scholars at universities and other research institutions working on analytics (broadly defined) for good as well as policymakers who frame their policies using business analytics. We are agnostic about the topic of research provided it fits into the workshop theme. We particularly encourage young scholars, junior faculty and PhD students to submit papers.

Submission Requirements: Please submit a 2-3 page extended abstract (page limit excludes references). In the submission, please include the title of the paper and the names and email addresses of all of the authors, and highlight the research questions/goals, novelty, methodological approach, main results, and impact or potential for impact.

Abstracts should be submitted by email to

Download full CFP.

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