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 blog was originally posted in ACM SIGARCH on August 12, 2019. It is written by Computing Community Consortium (CCC) Chair Mark D. Hill from the University of Wisconsin Madison. Hill is the recipient of the 2019 Eckert-Mauchly award, a lifetime achievement award in computer architecture.  Many works present their results; this blog post seeks to aid you in developing your own great results, especially in computer architecture and systems. I learned these lessons over a career leading to an Eckert-Mauchly Award (acceptance speech). I structure this blog post with the scientific method in four steps: Pick a good problem. Develop insights and first hypotheses. Test and refine hypotheses. Repeat steps as needed. Pick A Good Problem  The first step to […]

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 […]

Through support from the Computing Community Consortium (CCC) the US National Robotics Roadmap was first created ten years ago by a group of 120 people from industry and academia. It has since been used by government agencies, universities and companies as a reference about where robotics is going. The first roadmap was published in 2009, then revised in 2013 and 2016. The objective is to publish the 4th version of the roadmap by summer 2020. The objective is to engage about 150-200 people from academia and industry to ensure that the roadmap is representative of the community’s view of where robotics is going. The roadmap will cover manufacturing, service, medical, first-responder, […]

Recently, the White House posted a Request for Information (RFI) inviting suggestions for improvements to Federal data and models needed to accelerate AI R&D and testing. See below for more details. Your responses, and/or those of your organization, would be valuable and much appreciated. FOR IMMEDIATE RELEASE July 10, 2019 Trump Administration Takes Action to Improve Federal Data and Models for Artificial Intelligence R&D Recently, the Trump Administration continued efforts to advance American leadership in artificial intelligence (AI) with the announcement of a Request for Information (RFI) to improve Federal data and models for AI research and development (R&D) and testing. As called for by President Trump’s national AI strategy […]