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News Release 13-188

NSF advances national efforts enabling data-driven discovery

White House conference announces partnerships to transform data to knowledge to action

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Data to knowledge to action. NSF plays leadership role in administration initiative.

Credit: NSF


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Elizabeth Bruce of MIT describes the MIT's Big Data Initiative, which explores computational platforms, algorithms, machine learning, security and privacy issues, as well as applications of big data in different domains, such as healthcare and learning. She participated in the May 5, 2013 White House Workshop on Big Data Partnerships.

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Michael Bender, Stony Brook University, describes his work on indexing of big data--organizing data so that you can find things. He participated in the May 5, 2013 White House Workshop on Big Data Partnerships

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Merce Crosas of the Institute for Quantitive Social Science,from Harvard University describes her work on open source data. She participated in the May 5, 2013 White House Workshop on Big Data Partnerships.

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Bill Howe of the University of Washington describes his work on big data and opportunities for collaboration among academia and industry. He discusses how classically trained data scientists can become valuable contributors to businesses. He participated in the May 5, 2013 White House Workshop on Big Data Partnerships.

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Sponsored by the White House, Data to Knowledge to Action unveiled new, high-impact collaborations among federal agencies, private industry, academia, state and local governments, non-profits, and foundations, that will harness Big Data to enhance economic growth and job creation, education and health, energy and environmental sustainability, public safety, and global development. Watch Session 2.

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Sponsored by the White House, Data to Knowledge to Action unveiled new, high-impact collaborations among federal agencies, private industry, academia, state and local governments, non-profits, and foundations, that will harness Big Data to enhance economic growth and job creation, education and health, energy and environmental sustainability, public safety, and global development. Watch Session 1.

Credit: NSF


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Srinivas Aluru of Iowa State University works at the intersection of the life sciences and big data: He participated in the May 5, 2013 Big Data Workshop, sponsored by the White House Office of Science and Technology Policy and the Networking Information Technology Research & Development (NITRD).

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Martin-Farach-Colton of Rutgers University concentrates on big data storage: He participated in the May 5, 2013 Big Data Workshop, sponsored by the White House Office of Science and Technology Policy and the Networking Information Technology Research & Development (NITRD).

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Dimitris Mataxas of Rutgers University works primarily with biomedical data and clinical trials: His team engages with industry in the study of dynamic data analytics with pharmaceuticals, security, visualizations/simulations and education. He participated in the May 5, 2013 Big Data Workshop, sponsored by the White House Office of Science and Technology Policy and the Networking Information Technology Research & Development (NITRD).

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Stan Ahalt of the Renaissance Computer Institute at the University of North Carolina, Chapel Hill defines big data. He participated in the May 5, 2013 Big Data Workshop, sponsored by the White House Office of Science and Technology Policy and the Networking Information Technology Research & Development (NITRD).

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Tom Caruso of the University of North Carolina discusses the public-private consortium in self-generated health in which he works in hopes of capitalizing on a strong data partnership between industry and universities. He participated in the May 5, 2013 Big Data Workshop, sponsored by the White House Office of Science and Technology Policy and the Networking Information Technology Research & Development (NITRD).

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Tom Mitchell of Carnegie Mellon University concentrates his research efforts on machine learning, that it, figuring out how to get computer programming to automatically improve with experience. He participated in the May 5, 2013 Big Data Workshop, sponsored by the White House Office of Science and Technology Policy and the Networking Information Technology Research & Development (NITRD).

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Arcot Rajasekar of the University of North Carolina, Chapel Hill, and his team are working to increase data accessibility--that is, they are trying to build bridges for data sharing among scientists. He participated in the May 5, 2013 Big Data Workshop, sponsored by the White House Office of Science and Technology Policy and the Networking Information Technology Research & Development (NITRD).

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Eli Upfal of Brown University is working to build mathematical and statistical tools that with advanced computational methods can derive meaning from big data. He works primarily on human genomic data. He participated in the May 5, 2013 Big Data Workshop, sponsored by the White House Office of Science and Technology Policy and the Networking Information Technology Research & Development (NITRD).

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Kirk Borne of George Mason University works in big data education, as well as applied areas, such as astronomy (in which he was trained), earth sciences, law enforcement, drug discovery and health. He participated in the May 5, 2013 Big Data Workshop, sponsored by the White House Office of Science and Technology Policy and the Networking Information Technology Research & Development (NITRD).

Credit: NSF


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