Funding-Core
Techniques and Technologies for Advancing Big Data Science & Engineering
(BIGDATA); June 13, 2012
Agency
Name
National
Science Foundation
Synopsis
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.
Today, US
government agencies recognize that the scientific, biomedical and engineering
research communities are undergoing a profound transformation with the use of
large-scale, diverse, and high-resolution data sets that allow for
data-intensive decision-making, including clinical decision making, at a level
never before imagined. New statistical and mathematical algorithms, prediction
techniques, and modeling methods, as well as multidisciplinary approaches to
data collection, data analysis and new technologies for sharing data and
information are enabling a paradigm shift in scientific and biomedical
investigation. Advances in machine learning, data mining, and visualization are
enabling new ways of extracting useful information in a timely fashion from
massive data sets, which complement and extend existing methods of hypothesis
testing and statistical inference. As a result, a number of agencies are
developing big data strategies to align with their missions. This solicitation
focuses on common interests in big data research across the National Institutes
of Health (NIH) and the National Science Foundation (NSF).
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) [http://www.nitrd.gov/pcast-2010/report/nitrd-program/pcast-nitrd-report-2010.pdf]
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.
Announcement
Number:
NSF 12-499
Due
Date: June
13, 2012 Mid-Scale Projects; July 11, 2012 Small Projects
Link
to Full Announcement
http://www.nsf.gov/pubs/2012/nsf12499/nsf12499.htm?WT.mc_id=USNSF_179
Contact
Information
·
Vasant G. Honavar,
NSF - CISE, telephone: (703) 292-7129, email: vhonavar@nsf.gov
·
Jia Li, NSF - MPS, telephone: (703) 292-4870,
email: jli@nsf.gov
·
Dane
Skow, NSF - OCI, telephone: (703) 292-4551, email: dskow@nsf.gov
·
Peter
H. McCartney, NSF - BIO, telephone: (703) 292-8470, email: pmccartn@nsf.gov
·
Doris
L. Carver, NSF - EHR, telephone: (703) 292-5038, email: dcarver@nsf.gov
·
Eduardo
A. Misawa, NSF - ENG, telephone: (703) 292-5353, email: emisawa@nsf.gov
·
Eva
Zanzerkia, NSF - GEO, telephone: (703) 292-8556,
email: ezanzerk@nsf.gov
·
Peter
Muhlberger, NSF - SBE, telephone: (703) 292-7848,
email: pmuhlber@nsf.gov
·
Vladimir
Papitashvili, NSF - OPP, telephone: (703) 292-7425,
email: vpapita@nsf.gov
·
Karin
A. Remington, National Institute of General Medical Sciences, NIH, telephone:
(301) 451-6446, email: remingka@nigms.nih.gov
·
Jerry
Li, National Cancer Institute, NIH, telephone: (301) 435-5226, email: jiayinli@mail.nih.gov
·
Vinay M. Pai,
National Institute of Biomedical Imaging & Bioengineering, NIH, telephone:
(301) 451-4781, email: paiv@mail.nih.gov
·
Karen
Skinner, National Institute on Drug Abuse, NIH, telephone: (301) 443-1887,
email: kskinner@nida.nih.gov
·
Yuan
Liu, National Institute of Neurological Disorders and Stroke, NIH, telephone:
(301) 496-1917, email: liuyuan@ninds.nih.gov
·
Valerie
Florance, National Library of Medicine, NIH,
telephone: (301) 496-4621, email: florancev@mail.nih.gov
·
Vivien
Bonazzi, National Human Genome Research Institute
(NHGRI), NIH, telephone: (301) 451-8276, email: bonazziv@mail.nih.gov