Start Date
10-17-2017 2:30 PM
Description
Harnessing Data for 21st Century Science and Engineering (aka Harnessing the Data Revolution, HDR) is one of NSF's six "Big Research Ideas," aimed at supporting fundamental research in data science and engineering; developing a cohesive, federated approach to the research data infrastructure needed to power this revolution; and developing of a 21st-century data-capable workforce. HDR will enable new modes of data-driven discovery allowing researchers to ask and answer new questions in frontier science and engineering, generate new knowledge and understanding by working with domain experts, and accelerate discovery and innovation. This initiative builds on NSF's history of data science investments. The HDR Big Idea is particularly well-suited for collaborations and partnerships with industry. After providing an overview of HDR, we will explore areas for potential collaboration and partnership with industry. As the only federal agency supporting all fields of science and engineering, NSF is uniquely positioned to help ensure that our country's future is one enriched and improved by data.
Included in
Harnessing the Data Revolution
Harnessing Data for 21st Century Science and Engineering (aka Harnessing the Data Revolution, HDR) is one of NSF's six "Big Research Ideas," aimed at supporting fundamental research in data science and engineering; developing a cohesive, federated approach to the research data infrastructure needed to power this revolution; and developing of a 21st-century data-capable workforce. HDR will enable new modes of data-driven discovery allowing researchers to ask and answer new questions in frontier science and engineering, generate new knowledge and understanding by working with domain experts, and accelerate discovery and innovation. This initiative builds on NSF's history of data science investments. The HDR Big Idea is particularly well-suited for collaborations and partnerships with industry. After providing an overview of HDR, we will explore areas for potential collaboration and partnership with industry. As the only federal agency supporting all fields of science and engineering, NSF is uniquely positioned to help ensure that our country's future is one enriched and improved by data.
Speaker's Bio
Chaitan Baru, PhD, is Senior Advisor for Data Science in the Computer and Information Science and Engineering Directorate at the US National Science Foundation. He co-chairs the NSF working group on Harnessing the Data Revolution Big Idea; serves as advisor to the NSF Big Data Regional Innovation Hubs and Spokes program (BD Hubs/Spokes); manages the cross-Foundation NSF BIGDATA program; and, is a member of the NSF Transdisciplinary Research in Principles of Data Science (TRIPODS) program. He also co-chairs the Big Data Inter-agency Working Group of the Networking and IT R&D program (NITRD) of the White House Office of Science and Technology Policy. He is one of the primary co-authors of the Federal Big Data R&D Strategic Plan, released May 2016. He is also a member of the NITRD Data Science Interagency Working Group and represents NSF on the Federal Data Cabinet. He was General Chair for the 33rd IEEE International Conference on Data Engineering (ICDE 2017) held on April 19-22, 2017, in San Diego, California. He is on assignment at NSF from the San Diego Supercomputer Center, University of California San Diego, where he is Associate Director for Data Initiatives and directs the Center for Large-scale Data Systems Research (clds.sdsc.edu) and the Advanced Cyberinfrastructure Development Group (acid.sdsc.edu). He has a BTech in Electronics Engineering from IIT Madras and an M.E. and PhD in Electrical Engineering from the University of Florida.