Workshop on AI & Analytics for Social Good
April 24, 2026
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.
Speakers
Keynote Speaker: Georgia Perakis
Georgia Perakis is a Professor of Operations Management, Operations Research & Statistics at the MIT Sloan School of Management. She has been on the faculty at MIT Sloan since July 1998.
Perakis teaches courses and performs research in analytics/AI, in particular in the intersection of optimization and machine learning with applications in pricing, revenue management, supply chain, and healthcare among others. At MIT over the years, she has taught in a variety of programs such as undergraduate, MSc, PhD, MBA, and EMBA programs across MIT. For her teaching, Perakis won the Graduate Student Council Teaching Award in 2002 as well as the Jamieson Prize in 2014 for excellence in teaching, and the Teacher of the Year award (among all faculty at the MIT Sloan School) in 2017.
Organizing Committee
- Hamsa Bastani, Wharton University, hamsab@wharton.
upenn.edu - Margret Vilborg Bjarnadottir (Co-Chair), mbjarnad@umd.edu
- Jui Ramaprasad (Co-Chair), jramapra@umd.edu
- Jessica Clark, jmclark@umd.edu
- John Silberholz, josilber@umd.edu
Important Dates
- Abstract deadline: February 14, 2026
- Notification of Acceptance: March 1, 2026
- Conference Date: April 24, 2026
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.
Decisions will be released on March 1, 2026.