Workshop on AI & Analytics for Social Good
May 10, 2024
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.
Registration is now closed.
Confirmed Speakers
 | Dimitris Bertsimas Boeing Leaders for Global Operations Professor of Management Associate Dean for Business Analytics Professor, Operations Research MIT Sloan |
 | Justin Boutilier Assistant Professor University of Wisconsin – Madison |
 | Miranda Bogen Founding Director, AI Governance Lab Center for Democracy & Technology |
 | Catherine Lilian Nakalembe University of Maryland |
 | Daniel Rock Assistant Professor of Operations, Information and Decisions Wharton School of the University of Pennsylvania |
 | Adam Shoemaker Oversight Board Liaison Meta |
 | Alp Sungu Assistant Professor of Operations, Information and Decisions Wharton School of the University of Pennsylvania |
 | Lily Xu PhD student Harvard University |
Organizing Committee
- Hamsa Bastani, Wharton University, hamsab@wharton.
upenn.edu - Margret Vilborg Bjarnadottir (Chair), mbjarnad@umd.edu
- Jui Ramaprasad, jramapra@umd.edu
Important Dates
- Abstract deadline: March 8, 2024
- Notification of Acceptance: April 1, 2024
- Conference Date: May 10, 2024
Recommended Hotel
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 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 socialimpactanalytics@umd.edu.