text-only page produced automatically by LIFT Text Transcoder Skip all navigation and go to page contentSkip top navigation and go to directorate navigationSkip top navigation and go to page navigation
National Science Foundation
News
design element
News
News From the Field
For the News Media
Special Reports
Research Overviews
NSF-Wide Investments
Speeches & Lectures
NSF Current Newsletter
Multimedia Gallery
News Archive
News by Research Area
Arctic & Antarctic
Astronomy & Space
Biology
Chemistry & Materials
Computing
Earth & Environment
Education
Engineering
Mathematics
Nanoscience
People & Society
Physics
 

Email this pagePrint this page
All Images


Press Release 13-188
NSF advances national efforts enabling data-driven discovery

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

Back to article | Note about images

Illustration showing symbols for Internet applications with text data to knowledge to action.

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

Credit: NSF


Download the high-resolution JPG version of the image. (32.4 KB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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.

Credit: NSF


Download the high-resolution PNG version of the image. (1.5 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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

Credit: NSF


Download the high-resolution PNG version of the image. (1.5 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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.

Credit: NSF


Download the high-resolution PNG version of the image. (1.6 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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.

Credit: NSF


Download the high-resolution PNG version of the image. (1.4 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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.

Credit: NSF


Download the high-resolution PNG version of the image. (435.3 KB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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


Download the high-resolution PNG version of the image. (294.5 KB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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).

Credit: NSF


Download the high-resolution PNG version of the image. (1.9 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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).

Credit: NSF


Download the high-resolution PNG version of the image. (1.7 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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).

Credit: NSF


Download the high-resolution PNG version of the image. (1.7 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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).

Credit: NSF


Download the high-resolution PNG version of the image. (1.7 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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).

Credit: NSF


Download the high-resolution PNG version of the image. (1.4 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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).

Credit: NSF


Download the high-resolution PNG version of the image. (1.5 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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).

Credit: NSF


Download the high-resolution PNG version of the image. (2.1 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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).

Credit: NSF


Download the high-resolution PNG version of the image. (1.9 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

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


Download the high-resolution PNG version of the image. (1.5 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.



Email this pagePrint this page
Back to Top of page