The National Science Foundation (NSF) has a number of upcoming funding opportunities. Computational and Data-Enabled Science and Engineering  (CDS&E) (PD 12-8084) Full Proposal Window: September 30, 2019 Advanced computational infrastructure and the ability to perform large-scale simulations and accumulate massive amounts of data have revolutionized scientific and engineering disciplines. The goal of the CDS&E program is to identify and capitalize on opportunities for major scientific and engineering breakthroughs through new computational and data analysis approaches. See more at this website here. Computer and Information Science and Engineering (CISE): Core Programs (NSF 19-589) Full Proposal Window: September 30, 2019 The NSF CISE Directorate supports research and education projects that develop new […]

The National Science Foundation (NSF) is holding a webinar on September 11, 2019 at 2:00 PM ET for the NSF/Intel Partnership on Machine Learning for Wireless Networking Systems (MLWiNS) solicitation NSF 19-591, submission requirements, and program updates. The NSF/Intel Partnership on Machine Learning for Wireless Networking Systems (MLWiNS) seeks to accelerate fundamental, broad-based research on wireless-specific machine learning (ML) techniques, towards a new wireless system and architecture design, which can dynamically access shared spectrum, efficiently operate with limited radio and network resources, and scale to address the diverse and stringent quality-of-service requirements of future wireless applications. In parallel, this program also targets research on reliable distributed ML by addressing the challenge […]

The following post was contributed by CCC Director,  Ann Schwartz Drobnis.  The Networking and Information Technology Research and Development (NITRD) National Coordination Office (NCO), on behalf of Federal agencies and the NITRD National Science and Technology Council’s (NSTC) Fast-Track Action Committee (FTAC) on Strategic Computing (SC), put out a Request for Information (RFI) from the public to update for the Strategic Computing R&D goals and approaches. The Computing Community Consortium (CCC) responded to the RFI on behalf of the community. Some snippets from CCC’s response: Many—if not most—of the benefits that information technology has provided to society have in turn depended on tremendous progress in technology (Moore’s Law) and in hardware designs for compute, storage, and communication. Future information […]

Today, the White House, through the National Institute of Standards and Technology (NIST), issued a plan for Federal engagement in the development of technical standards for artificial intelligence (AI). The plan was called for as part of the national strategy for U.S. leadership in AI, the American AI Initiative, launched by Executive Order in February 2019. After receiving broad public input, the technical standards plan provides guidance for Federal agencies, the private sector, and the academic community in the development of technical standards and related tools in support of reliable, robust, and trustworthy AI systems, and identifies priorities for Federal government involvement and leadership in AI standards development. “The Trump […]

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The Computing Community Consortium (CCC) recently released the Research Opportunities in Sociotechnical Interventions for Health Disparity Reduction workshop report. The CCC’s 1.5 day Sociotechnical Interventions for Health Disparity Reduction workshop took place in April 2018 in New Orleans, co-located with the Society for Behavioral Medicine’s 39th Annual Meeting. This cross-disciplinary workshop, brought together leading researchers in computing, health informatics, and behavioral medicine to develop an integrative research agenda regarding sociotechnical interventions to reduce health disparities and improve the health of socio-economically disadvantaged populations. “Health disparities are differences in disease prevalence, incidence, morbidity and/or mortality in one group as compared to the general population. In Western countries, groups which experience disparities in health outcomes […]