Schedule:
8:30 - 9:00 - Registration and Breakfast
9:00 - 9:20 - Dean's Welcome and Opening Remarks (Wen Mao | David Anderson | Subodha Kumar)
9:20 - 11:00 - Research Presentations (moderator: David Peng, Lehigh University)
John Silberholz, University of Maryland - Online Learning with Survival Data
Hui Zhao, Pennsylvania State University - From waste to worth: Alleviating pharmaceutical surplus and shortage through alternative procurement channels
Temidayo Olaleye, Rutgers University - The Power of Two: The Impact of Dual Decision-Making on Patient Outcomes
David Anderson, Villanova University - Paging Dr. GPT - Using LLMs to Predict Medical Outcomes From Discharge Summaries
11:00 - 11:15 - Coffee Break
11:15 - 12:00 - Ph.D. Flash Talks (moderator: David Anderson, Villanova University)
12:00 - 1:00 - Lunch and Poster Session
1:00 - 2:15 - Research Presentations (moderator: Michael Rivera, Lehigh University)
Jaehwuen Jung, Temple University - The Impact of Realism and AI Disclosure on Virtual Influencer Effectiveness: A Large Field Experiment
Neha Sharma, University of Pennsylvania - What Remains after LLMs: Technical Knowledge Moves from Hubs to Niches
Guangwen Kong, Temple University - Replacing What Could Be Repaired: A Structural Analysis of Two-Stage Diagnostic Decisions in Managing Shared-Bike Returns
2:15 - 3:00 - Ph.D. Flash Talks (moderator: David Anderson, Villanova University)
3:00 - 3:30 - Coffee and Poster Session
3:30 - 4:45 - Research Presentations (moderator: Abhishek Roy, Temple University)
Oliver Schaer, Drexel University - Nuancing Majority Vote Recommendations with Large Language Models
Amin Rahimian, University of Pittsburgh - Privacy Aware Sequential Learning
Yu Zhu, University of Delaware - Boosting LLM-Based Credit Risk Prediction vsa Graph-Driven Multiview Representations: A Fine-Tuning Approach
4:45 - 5:00 - Closing Remarks (Subodha Kumar, Temple University)
Reception to Follow