Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.

NSF Announces Round Two of Its “Digging Into Data Challenge”

March 25th, 2011 / in big science, research horizons, resources / by Erwin Gianchandani

"Digging into Data Challenge"Last Wednesday, the NSF announced the second round of an international grant competition designed to spur cutting-edge research in the humanities and social sciences.  Called the “Digging into Data Challenge,” the competition specifically promotes large-scale, international and interdisciplinary analysis of large data sets in these fields.

The competition asks interested scholars to design methods and tools to analyze large data sets associated with a million books, or a million pages of newspaper, or a million songs, for example.

The announcement follows a successful trial round last year amongst teams of humanities experts, social scientists, and computer and information scientists.  This year, a total of 8 research funders are involved, with the United Kingdom’s Arts & Humanities Research Council and Economic & Social Research Council, the Netherlands’ Organization for Scientific Research and the United States’ Institute of Museum and Library Services adding to the list of funders continuing from last year.

Final applications are due June 16, 2011.

Learn all the details in the official NSF announcement, and visit the Digging into Data Challenge website.

(Contributed by Erwin Gianchandani, CCC Director)

NSF Announces Round Two of Its “Digging Into Data Challenge”

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