Core Techniques and Technologies for Advancing Big Data Science & Engineering (BIGDATA) NSF 12-499


13 June  2012   for Mid-Scale Projects

11 July  2012   for  Small Projects

AWARD:  15 to 20 standard  or continuing grants or Cooperative Agreements or Contracts (depending on the needs of the particular awarding agency)  totaling $25M

SCOPE:  The Core Techniques and Technologies for Advancing Big Data Science & Engineering (BIGDATA) solicitation 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 so as to: accelerate the progress of scientific discovery and innovation; lead to new fields of inquiry that would not otherwise be possible; encourage the development of new data analytic tools and algorithms; facilitate scalable, accessible, and sustainable data infrastructure; increase understanding of human and social processes and interactions; and promote economic growth and improved health and quality of life. The new knowledge, tools, practices, and infrastructures produced will enable breakthrough discoveries and innovation in science, engineering, medicine, commerce, education, and national security — laying the foundations for US competitiveness for many decades to come.  The phrase “big data” in this solicitation refers to large, diverse, complex, longitudinal, and/or distributed data sets generated from instruments, sensors, Internet transactions, email, video, click streams, and/or all other digital sources available today and in the future.


This solicitation is one component in a long-term strategy to address national big data challenges, which include advances in core techniques and technologies; big data infrastructure projects in various science, biomedical research, health and engineering communities; education and workforce development; and a comprehensive integrative program to support collaborations of multi-disciplinary teams and communities to make advances in the complex grand challenge science, biomedical research, and engineering problems of a computational- and data-intensive world.   This initiative will build new capabilities to create actionable information that leads to timely and more informed decisions. It will both help to accelerate discovery and innovation, as well as support their transition into practice to benefit society. As the recent President’s Council of Advisors on Science and Technology (PCAST) 2010 review of the Networking Information Technology Research and Development (NITRD) [] program notes, the pipeline of data to knowledge to action has tremendous potential in transforming all areas of national priority. This initiative will also lay the foundations for complementary big data activities — big data infrastructure projects, workforce development, and progress in addressing complex, multi-disciplinary grand challenge problems in science and engineering.


–           Vasant G. Honavar, NSF – CISE,  (703) 292-7129, email: [email protected]

–            Jia Li, NSF – MPS,  (703) 292-4870, email: [email protected]

–            Dane Skow, NSF – OCI, (703) 292-4551, email: [email protected]

–            Peter H. McCartney, NSF – BIO, (703) 292-8470, email: [email protected]

–            Doris L. Carver, NSF – EHR, (703) 292-5038, email: [email protected]

–            Eduardo A. Misawa, NSF – ENG, (703) 292-5353, email: [email protected]

–           Eva Zanzerkia, NSF – GEO, (703) 292-8556, email: [email protected]

–            Peter Muhlberger, NSF – SBE, (703) 292-7848, email: [email protected]

–            Vladimir Papitashvili, NSF – OPP, (703) 292-7425, email: [email protected]

–            Karin A. Remington, National Institute of General Medical Sciences, NIH,  (301) 451-6446, email: [email protected]

–            Jerry Li, National Cancer Institute, NIH, (301) 435-5226, email: [email protected]

–            Vinay M. Pai, National Institute of Biomedical Imaging & Bioengineering, NIH,  (301) 451-4781, email: [email protected]

–            Karen Skinner, National Institute on Drug Abuse, NIH,  (301) 443-1887, email: [email protected]

–            Yuan Liu, National Institute of Neurological Disorders and Stroke, NIH, (301) 496-1917, email: [email protected]

–            Valerie Florance, National Library of Medicine, NIH, (301) 496-4621, email: [email protected]

Vivien Bonazzi, National Human Genome Research Institute (NHGRI), NIH, (301) 451-8276, email: [email protected]

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