DSI Symposium Background 2021_Google Form

Thank you for joining us for the 2023 Data Science Symposium, an event organized by the UD Data Science Institute to bring together UD researchers and local partners interested in Data Science applications, theory, and pedagogy across domains.

The day-long symposium was held on September 22nd, 2023 in in‑person at UD’s Star Campus in The Tower at STAR Audion.

This year featured a DS + AI Hackathon on July 17th-19th with results culminating in a special session during the DSI Symposium.


Keynote Speakers

Hubert Niewiadomski

CEO and Founder


Andrea Parker

Associate Professor

School of Interactive Computing, College of Computing, Georgia Tech

Panel Speakers

Data Science-driven Equity

from Healthcare, FinTech, Community, and Educational Perspectives

Susan Conaty-Buck

Assistant Professor

School of Nursing

Phil Goldfeder


American Fintech Council

Claude Tameze


Lincoln University

Emily Kauffman

Senior Manager

Strategic Initiatives and Impact

United Way of Delaware

Ryan  Harrington

Director of Strategy

and Operations,

Data Innovation Lab

Tech Impact


Federica Bianco

 Associate Professor

University of Delaware


For interest in sponsoring this event, please see here.



8:30 Registration & Poster Setup
9:00 Welcome & Introductions
9:05 Remarks from Tracy Shickel
9:15 Keynote 1:
Dr. Andrea Parker
10:00 Panel: Data Science Driven Equity
11:00 Coffee Break
11:15 Lightning Talks Part I
12:00 Lunch
12:40 Poster Lightning Talks
1:00 Poster Session
1:50 Initiative Showcase
2:15 Keynote 2: Hubert Niewiadomski
3:00 Lightning Talks Part II
3:45 Coffee & Snack Break
4:00 Hackathon Presentation & Awards Ceremony
4:50 Poster Awards & Closing Remarks
5:00 End Symposium



Virtual Satellite Event

Low-Code AI With MATLAB hosted by Mathworks

Register Here

Planning Committee
  • Hanan Abou Ali
  • Ben Bagozzi (Chair)
  • Michael Blaustein
  • Daria Blinova
  • Jeff Buler
  • Lynette Carney (Coordinator)
  • Sunita Chandrasekaran
  • Adam Davey
  • Adam Fleischhacker
  • Mina Ostovari
  • Daniel Peart
  • Sam Smith
  • Nii Tawiah
  • Cathy Wu

Our Mission

The Institute aims to accelerate research in data science, serving as a nucleating effort to catalyze interdisciplinary research collaborations across fields impacting our society.