Program – Artificial Intelligence for Data Discovery and Reuse (AIDR) Symposium 2020

Monday, October 19 (All times are in EST)

Time	Session	Speaker	Title
10:00 - 10:10	Welcome
10:10 - 11:30	Session 1
	40 min	Melissa Haendel Oregon Health & Science University	Making science go faster, better, and together by harmonizing and reusing data
	20 min	Rayid Ghani Carnegie Mellon University	Doing Good with Data: Fairly and Equitably
	20 min	Bo Alroe & Lily Troia Digital Science	Developing and leveraging new datasets to drive research discovery
11:30 - 11:45	Break
11:45 - 13:05	Session 2
	40 min	Mark Musen Stanford University	CEDAR: Semantic technology for data FAIRness
	20 min	Ken Koedinger Carnegie Mellon University	Understanding Learning by Modeling Learning Curve Data
	20 min	Adriana Kovashka University of Pittsburgh	Reasoning about Complex Media from Weak Multi-modal Supervision
13:05 - 14:10	Lunch + Poster Session on gather.town
14:10 - 14:55	Fireside Chat with Martial Hebert
14:55 - 15:10	Break
15:10 - 16:30	Session 3
	20 min	Lucy Lu Wang & Kyle Lo Allen Institute for Artificial Intelligence	Mining the COVID-19 scientific literature with the CORD-19 open research dataset
	20 min	Imran Haque Recursion Pharmaceuticals	RxRx19: Scaling Morphological Profiling and Open Science against COVID-19
	20 min	Yubin Kim UPMC	40,000 Note Types: Clinical notes in the real world
	20 min	Jeremy Weiss Carnegie Mellon University	Electronic health records: a path from machine learning to clinical rounds
16:30 - 16:45	Break
16:45 - 17:30	Panel Discussion	Sean Davis (Moderator) National Cancer Institute Ross Epstein SafeGraph Lucy Lu Wang Allen Institute for Artificial Intelligence Alison Specht The University of Queensland, Australia Keith Webster Carnegie Mellon University	Building community and data ecosystem for data discovery and reuse
17:30 - 19:00	Poster Session + networking on gather.town
19:00	Adjourn

FINAL PROGRAM

Monday, October 19 (All times are in EST)