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Sat, 7 Mar 2015 15:05:53 -0500
text/plain (72 lines)
 Dear Colleagues:
The U.S. National Science Foundation (NSF) has published a Program
Solicitation, NSF 15-544, for BIGDATA. The submission deadline is May 20,

Today, scientists, engineers, educators, citizens and decision-makers have
unprecedented amounts and types of data available to them. Data may
originate from many disparate sources, including scientific instruments,
medical devices, telescopes, microscopes, satellites; digitally-authored
media, including text, images, audio, and emails; streaming data from
weblogs, videos, financial/commercial transactions; from ubiquitous sensing
and control applications in engineered and natural systems, through
multitudes of heterogeneous sensors and controllers instrumenting these
systems; social interactional data from social networking sites, twitter
feeds and click streams; administrative data; or scientific data from
large-scale surveys, brain research, large-scale simulations, continuous
simulation models, and computational analyses of observational data. The
data can be temporal, spatial, or dynamic; structured or unstructured; and
the information and knowledge derived from data can differ in
representation, complexity, granularity, context, quality, provenance,
reliability, trustworthiness, and scope.

The BIGDATA program at the U.S. National Science Foundation seeks novel
approaches to realize the transformative potential of big data that lead
towards the further development of the interdisciplinary field of data
science. The NSF BIGDATA program invites proposals in two categories:

(1)"Foundations" (F): those developing or studying fundamental theories,
techniques, methodologies, technologies of broad applicability to Big Data
problems in computer science, statistics, computational science, and
mathematics; and

(2)"Innovative Applications" (IA): those developing techniques,
methodologies and technologies of key importance to a Big Data problem
directly impacting at least one domain science, including social and
behavioral sciences, geosciences, education, biology, the physical
sciences, and engineering.

Investigators interested in innovative application in Social, Behavioral
and Economic (SBE) sciences may contact Program Director Dr. Heng Xu (
[log in to unmask]) for questions. The innovative application in SBE sciences
seeks to fund cutting edge research projects that develop innovative
methods for addressing big data challenges within SBE sciences, and provide
solutions with potential for a broader impact on data science and SBE
sciences. SBE innovative application proposals may focus on novel
theoretical analysis and/or on experimental evaluation of techniques and
methodologies within SBE sciences.

More information:

Best regards,

Dr. Heng Xu | Associate Professor of Information Sciences and Technology |
The Pennsylvania State University | University Park, PA | URL:

2013 - 2015:

Program Director | BIGDATA Program | Directorate for Social, Behavioral,
and Economic Sciences | U.S. National Science Foundation | Arlington, VA

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