[AISWorld] BIGDATA Innovative Applications in Social, Behavioral and Economic sciences

[Heng Xu]

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, 2015.

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 (hxu at nsf.gov<mailto:hxu at nsf.gov>) 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:
http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504767

Best regards,

Dr. Heng Xu | Associate Professor of Information Sciences and Technology | The Pennsylvania State University | University Park, PA | URL: http://faculty.ist.psu.edu/xu/

2013 - 2015:

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