Dear all:
After three highly successfully and engaging years, we invite you to submit an abstract to the fourth annual Workshop on AI & Analytics for Social Good to be held at the Smith School of Business at the University of Maryland on May 2, 2025. This workshop 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 good.
Why Participate?
● Exchange ideas with other scholars doing state-of-art research on analytics for making positive impact on society
● 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 use business analytics to shape policies
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: February 14, 2025
- Notification of Acceptance: March 1, 2025
- Conference Date: May 2<w:sdt sdttag="goog_rdk_14" id="2131203842"></w:sdt>, 2025
Submission Requirements:
- 2-3 page extended abstract (page limit excludes references):
- include title of the paper and the names and email addresses of all of the authors.
- 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. <w:sdt showingplchdr="t" sdttag="goog_rdk_16" id="1975556477" style="font-size: 11pt;"></w:sdt>
Organizing Committee:
We look forward to receiving your best work and seeing you in College Park on May 2!
All the best,
Jui (on behalf of the organizing committee)
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Jui Ramaprasad
Associate Professor
Robert H. Smith School of Business, University of Maryland
College Park MD
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