A meeting to consider how big data is changing the way we do science, looking particularly at the challenges of working with and analyzing big data sets, ethics and privacy concerns, workforce and training issues, and opportunities for public-private partnerships.
KEYNOTE ADDRESS
Chaitan Baru, Senior Advisor for Data Science, Directorate for Computer and Information Science and Engineering (CISE), National Science Foundation on "Big Data R&D: Moving from Infrastructure to Applications"
CHALLENGES OF WORKING WITH BIG DATA
Philip Bourne, Associate Director for Data Science, National Institutes of Health
Dr. H. V. Jagadish, Bernard A. Galler Collegiate Professor of Electrical Engineering and Computer Science, University of Michigan
ETHICS AND PRIVACY CONCERNS
Julia Lane, Institute Fellow at American Institute for Research; Professor of Economics, BETA University of Strasbourg CNRS, Chercheur, Observatoire des Sciences et des Techniques, Paris; and Professor, Melbourne Institute of Applied Economics and Social Research, University of Melbourne
Alvaro Bedoya, Executive Director Center on Privacy and Technology, Georgetown University
Jules Polonetsky, Executive Director and Co-Chair, Future of Privacy Forum
WORKFORCE AND TRAINING
Raghu Ramakrishnan, Technical Fellow, Microsoft
PUBLIC-PRIVATE PARTNERSHIPS
Valerie Taylor, Senior Associate Dean of Academic Affairs in the Dwight Look College of Engineering and the Regents Professor and Royce E. Wisenbaker Professor in the Department of Computer Science and Engineering, Texas A&M University
Pat Larkin, Executive Director, Innovation Institute, Massachusetts Technology Collaborative
John Goodhue, Executive Direcor, Massachusetts Green High Performance Computing Center
TRANSLATIONAL RESEARCH ROUNDTABLE
Scott Steele, Director, Government and Academic Research Alliances, University of Rochester