May 13-15, 2019
Simmons Auditorium
David A. Tepper Quadrangle
Carnegie Mellon University
Pittsburgh, PA
#AIDR2019
- Meet world leaders in AI, scientific computing, and data management
- Join the conversation on harnessing the power of AI for scientific data discovery and reuse
- Connect innovations in AI with research data management
EXTENDED DEADLINES:
Abstract Submission: February 22, 2019
Decision: March 8, 2019
Early Bird Registration: March 22, 2019
ABOUT
Supported by the NSF scientific data reuse initiative, AIDR (Artificial Intelligence for Data Discovery and Reuse) 2019 is a conference aiming 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. AIDR 2019 provides a platform for AI/ML researchers, data professionals, and scientists to come together and benefit from mutual expertise to address these data challenges and to facilitate the next breakthroughs in science and technology using the power of AI and scientific data.
Keynotes
Tom M. Mitchell
Interim Dean
E. Fredkin University Professor
School of Computer Science
Carnegie Mellon University
Glen de Vries
President and Co-founder
Medidata Solutions
Invited Speakers
Sean Davis
Senior Associate Scientist
National Cancer Institute, NIH
Matt Fredrikson
Assistant Professor
School of Computer Science
Carnegie Mellon University
Casey Greene
Assistant Professor of Systems Pharmacology and Translational Therapeutics
Perelman School of Medicine
University of Pennsylvania
Irene Kaplow
Postdoctoral Fellow
School of Computer Science
Carnegie Mellon University
Alex London
Clara L. West Professor of Ethics and Philosophy
Department of Philosophy
Carnegie Mellon University
Robert F. Murphy
Ray and Stephanie Lane Professor
Head of Computational Biology
School of Computer Science
Carnegie Mellon University
Fiona Nielsen
Founder and CEO
Repositive
Natasha Noy
Staff Scientist
Google AI
Nick Nystrom
Chief Scientist
Pittsburgh Supercomputing Center
Carnegie Mellon University
Lisa S. Parker
Professor and Director
Center for Bioethics & Health Law
University of Pittsburgh
Beth A. Plale
Science Advisor
CISE/OAC, NSF
Professor of Informatics and Computing
Indiana University Bloomington
Keith Webster
Dean
University Libraries
Carnegie Mellon University
PROGRAM HIGHLIGHTS
Automation in data discovery
Automation in data curation and generation
Measuring and improving data quality
Integrating datasets and enabling interoperability
Biomedical data discovery and reuse
Data privacy, security and algorithmic bias
The future of scientific data and how we work together
Program Co-chairs
Nick Nystrom
Chief Scientist,
Pittsburgh Supercomputing Center
Keith Webster
Dean,
Carnegie Mellon University Libraries
Huajin Wang
Biomedical Data Science Liaison,
Carnegie Mellon University
Paola Buitrago
Director for AI and Big Data,
Pittsburgh Supercomputing Center
Program Committee
Sayeed Choudhury
Associate Dean for Research Data Management,
Jonhs Hopkins University Libraries
Sean Davis
Senior Associate Scientist,
National Cancer Institute
Fei Fang
Assistant Professor,
School of Computer Science, Carnegie Mellon University
Andreas Pfenning
Assistant Professor,
School of Computer Science, Carnegie Mellon University
General Chair
Huajin Wang (email)
Carnegie Mellon University
Organizing Committee
Neelam Bharti
Carnegie Mellon University
Michelle Delvin
Pittsburgh Super Computing Center
Ann Marie Mesco
Carnegie Mellon University
Sarah Young
Carnegie Mellon University