On behalf of the National Science and Technology Council’s Select Committee on Artificial Intelligence, the Networking and Information Technology Research and Development (NITRD) National Coordination Office has released a Request for Information (RFI) on updates to the 2016 National Artificial Intelligence Research and Development Strategic Plan. The 2016 National Artificial Intelligence Research & Development Strategic Plan focused on research areas that industry is considered unlikely to address and identified 7 strategies for Federally-funded AI research: Strategy 1: Make long-term investments in AI research. Prioritize investments in the next generation of AI that will drive discovery and insight and enable the United States to remain a world leader in AI. Strategy 2: Develop […]

The following is a Request for Information (RFI) from the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy.  The Geothermal Technologies Office (GTO), within the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy, announces an RFI seeking feedback from industry, academia, research laboratories, government agencies, and other stakeholders regarding research opportunities associated with applying machine learning techniques toward challenges in the geosciences that are relevant to geothermal energy. With respect to the overall goals of establishing the practice of machine learning in the geothermal industry and maximizing the value of the rich datasets available to the geosciences, GTO is seeking input in three areas: Identifying […]

The US Department of Transportation Federal Highway Transportation System has released a Request for Information on Integration of Automated Driving Systems (ADS) into the Highway Transportation System. Responses are due February 24th, 2018.  Summary: Automated Driving Systems (ADS) are increasling being tested and introduced onto the public roadways. The FHWA is interested in hearing from the public, including stakeholders (e.g. State and local agencies, vehicle manufacturing industry, road hardware and intelligent transportation systems industry, related associations, transporation advocates, ADS hardware and software platform developers, etc.) on a range of issues related to assessing the infrastructure requirements and standards that may be necessary for enabling safe and efficient operations of ADS. For […]

National Library of Medicine Director Patti Brennan spoke at the Computing Community Consortium (CCC) Leadership in Science Policy Institute (LiSPI) this morning and strongly urged computer scientists to respond to this Request for Information (RFI) to Help Shape the Future of Data Science!  The deadline has been extended to November 20th, 2017! On behalf of the National Institutes of Health (NIH), the National Library of Medicine (NLM) seeks community input on new data science research initiatives that could address key challenges currently faced by researchers, clinicians, administrators, and others, in all areas of biomedical, social/behavioral and health-related research. The field of data science is broad in scope, encompassing approaches for […]

Contributions to this post were made by Greg Hager, Computing Community Consortium (CCC) Past Chair and Professor in the Department of Computer Science at Johns Hopkins University.  In June, the White House Office of Science and Technology Policy (OSTP) announced a new Request for Information (RFI) on Artificial Intelligence (AI), to solicit feedback on how the United States can best prepare for the future of AI. According to the OSTP Blog, they “received 161 responses from a range of stakeholders, including individuals, academics and researchers, non-profit organizations, and industry.” All of the responses are now public and can be found here. The Computing Community Consoritum‘s (CCC) submitted a response, which can be found here, after […]

The Office of Science and Technology Policy (OSTP) just released a Request For Information (RFI) on Artificial Intelligence. Artificial intelligence (AI) technologies offer great promise for creating new and innovative products, growing the economy, and advancing national priorities in areas such as education, mental and physical health, addressing climate change, and more. Like any transformative technology, however, AI carries risks and presents complex policy challenges along a number of different fronts. The Office of Science and Technology Policy (OSTP) is interested in developing a view of AI across all sectors for the purpose of recommending directions for research and determining challenges and opportunities in this field. The views of the […]