A new NSF solicitation on Big Data was announced yesterday. This program “aims to advance the core scientific and technological means of managing, analyzing, visualizing, and extracting useful information from large, diverse, distributed and heterogeneous data sets.” Within TCS, some natural connections include efficient algorithms, machine learning, streaming and online algorithms, and privacy.
Deadlines: June 13 for “mid-scale” projects, July 11 for “small” projects (see solicitation for specifics).
Here is the announcement yesterday by Farnam Jahanian, head of CISE:
This afternoon at a White House event, the Administration unveiled a Big Data Research and Development Initiative, which creates enormous opportunities for extracting knowledge and insights from large and complex collections of digital data. The CISE community is well poised to become an active participant in this new initiative.
NSF Director, Dr. Subra Suresh, joined other federal science agency leaders to discuss cross-agency plans and announce new research efforts to address big data. NSF will direct its current efforts to develop new methods to derive knowledge from data; construct new infrastructure to manage, curate and serve data to communities; and forge new approaches for associated education and training.
The cornerstone of the announcements includes a joint NSF-NIH solicitation on foundational research for big data. The “Core Techniques and Technologies for Advancing Big Data Science & Engineering,” or “Big Data” (http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504767)program aims to advance the core scientific and technological means of managing, analyzing, visualizing and extracting information from large, diverse, distributed, and heterogeneous data sets in order to accelerate progress in science and engineering research. Specifically, it will fund research to develop and evaluate new algorithms, technologies, and tools for improved data management, data analytics, and e-science collaboration environments.
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