AIDR 2020 will be hosted virtually, October 19, 2020

In conjunction with Open Science Symposium, October 20, 2020

  • Meet world leaders in AI, scientific computing, and data management
  • Join the conversation on harnessing the power of AI for data discovery and reuse
  • Connect innovations in AI with research data management

Slides and recordings are now online in our Open Science Framework repository and YouTube.

Also, read a summary of both AIDR and Open Science Symposium in this conference report.


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AIDR (Artificial Intelligence for Data Discovery and Reuse) aims to find innovative solutions to accelerate the dissemination and reuse of scientific data in the data revolution. The explosion in the volume of scientific data has made it increasingly challenging to find data scattered across various platforms. At the same time, increasing numbers of new data formats, greater data complexity, lack of consistent data standards across disciplines, metadata or links between data and publications makes it even more challenging to evaluate data quality, reproduce results, and reuse data for new discoveries. Last year, supported by the NSF scientific data reuse initiative, the inaugural AIDR 2019 attracted AI/ML researchers, data professionals, and scientists from biomedicine, technology industry, high performance computing, astronomy, seismology, library and information science, archaeology, and more, to share innovative AI tools, algorithms and applications to make data more discoverable and reusable, and to discuss mutual challenges in data sharing and reuse.

This year, we are following up with a one-day, virtual AIDR Symposium, that provides a place for the community to continue having these conversations and work together to build a healthy data ecosystem. The program will feature invited speakers and panel discussions from a variety of disciplines, including a focused session on COVID-19 data. Audience are highly encouraged to join the conversation by submitting a poster, joining the panel discussions and social hours, chatting on Slack, and participating in collaborative note-taking.  

To learn more about AIDR, see last year's speakers and program on AIDR 2019 website;  selected slides and posters published as AIDR Collection @ F1000Research; and selected papers published post-conference at ACM Digital Library: AIDR '19 Proceedings - ACM ICPS.


Bo Alroe

Director of Strategy
Digital Science

Sean Davis

Senior Associate Scientist
National Cancer Institute

Ross Epstein

Chief of Staff

Rayid Ghani

Distinguished Career Professor
Machine Learning, Information Systems and Public Policy
Carnegie Mellon University

Melissa Haendel

Professor, Medical Informatics and Clinical Epidemiology
Oregon Health & Science University

Imran Haque

VP Data Science
Recursion Pharmaceuticals

Martial Hebert

Professor of Robotics;
Dean of School of Computer Science

Carnegie Mellon University

Yubin Kim

Director Of Technology
UPMC Enterprises

Ken Koedinger

Professor, Human-Computer Interaction and Psychology
Carnegie Mellon University

Adriana Kovashka

Assistant Professor of Computer Science
University of Pittsburgh

Kyle Lo

Applied Research Scientist
Allen Institute for Artificial Intelligence (AI2)

Mark Musen

Professor of Medicine and Biomedical Data Science
Stanford University

Alison Specht

Honorary Associate Professor
School of Earth and Environmental Sciences
The University of Queensland, Australia

Lily Troia

Librarian in Digital Solutions
Digital Science

Lucy Lu Wang

Young Investigator
Allen Institute for Artificial Intelligence (AI2)

Keith Webster

Dean of Libraries
Carnegie Mellon University

Jeremy Weiss

Assistant Professor Of Health Informatics
Carnegie Mellon University


Steering Committee

Keith Webster, Dean, Carnegie Mellon University Libraries

Martial Hebert, Dean, School of Computer Science, Carnegie Mellon University

Program Committee

Huajin Wang (co-chair), Carnegie Mellon University Libraries

Ritwik Gupta (co-chair), Software Engineering Institute, Carnegie Mellon University

Ben Busby, DNAnexus; Johns Hopkins University

Sean Davis, National Cancer Institute

Hannah Gunderman, Carnegie Mellon University Libraries

Organizing Committee

Melanie Gainey, Carnegie Mellon University Libraries

Katie Behrman, Carnegie Mellon University Libraries

Neelam Bharti, Carnegie Mellon University Libraries

Ann Marie Mesco, Carnegie Mellon University Libraries

Sarah Young, Carnegie Mellon University Libraries