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
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
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
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
19:00 Adjourn