Event

Special Workshop on AI and Analytics for Social Good

Friday, May 5, 2023
8:00 a.m.
Van Munching Hall
S. Raghu Raghavan
raghavan@umd.edu

We invite you to contribute to the second annual Workshop on AI & Analytics for Social Good to be held at the Smith School of Business at the University of Maryland on May 5, 2023.  

This workshop is being organized by the Smith School's Department of Management Science & Operations Management.

It brings together academics, thought leaders and stakeholders to discuss how analytics can support organizations, including government entities, non-profits, 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.

Why Participate?

●    Exchange ideas with other scholars doing state-of-art research on analytics for making positive impact on society (click here for an overview of our exciting line up)
●    Receive feedback on research projects and preliminary research ideas on analytics for social good
●    Showcase research and ideas with federal and state policy makers

Who Should Submit Papers?

●    Scholars at universities and research institutions working on analytics for good
●    Policy makers 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.

Important Dates

●    Deadline for Abstract submission: March 15, 2023
●    Notification of Acceptance: April 1, 2023
●    Conference Date: May 5, 2023

Submission Requirements

•    2-3 page extended abstract (page limit excludes references):
o    include title of the paper and the names and email addresses of all of the authors.
o    highlight the research questions/goals, novelty, methodological approach, main results, and impact or potential for impact.
•    Please submit abstracts by email to socialimpactanalytics@umd.edu.

Organizing Committee

●    Margret Vilborg Bjarnadottir: mbjarnad@umd.edu
●    Jui Ramaprasad: jramapra@umd.edu
●    Hamsa Sridhar Bastani: hamsab@wharton.upenn.edu