Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.


Archive for the ‘NSF’ category

 

CS Education Week 2017!

December 8th, 2017 / in Announcements, CS education, NSF, pipeline, Research News / by Helen Wright

The following is a letter to the community from James Kurose, Assistant Director, and Erwin Gianchandani, Deputy Assistant Director, of the National Science Foundation (NSF) Directorate of Computer & Information Science & Engineering (CISE) about CSEdWeek.  Dear CISE Colleagues, This year’s CSEdWeek is underway—with students, parents, teachers, school officials, and out-of-school providers focused on showing kids—all kids—that computing can be creative, fun, and empowering. And thanks to so many of you, computer science (CS) education is becoming mainstream! At CISE, we see CS K-12 education as an integral part of our longstanding efforts to ensure the development of a diverse workforce that understands foundational concepts of computing and information science and engineering, knows how to effectively […]

NSF Partnerships for Innovation Webinar

December 7th, 2017 / in Announcements, NSF, Research News / by Helen Wright

The National Science Foundation (NSF) Partnerships for Innovation program (PFI) offers researchers the opportunity to transform new knowledge into societal benefits through translational research and technology development efforts that catalyze partnerships and accelerate innovations. The FY 2018 PFI solicitation offers two broad tracks for proposals: Technology Translation (PFI-TT) track Research Partnerships (PFI-RP) track Join this webinar to learn more about the program goals, its two tracks, eligibility and other aspects of the solicitation. Potential investigators and partners are encouraged to attend. December 13, 2017 2:00 PM to 4:00 PM ET Advance registration for the webinar is required. Register via WebEx here.  For more information, see this website. 

NSF Lecture- Soft Materials Research in the Era of Machine Learning

December 4th, 2017 / in Announcements, NSF, policy, research horizons, Research News / by Helen Wright

Professor Juan de Pablo from the Institute for Molecular Engineering at University of Chicago will be giving a lecture on Soft Materials Research in the Era of Machine Learning at the National Science Foundation (NSF) on Monday, December 11th at 2:00-3:00PM ET.  Juan de Pablo is the Liew Family Professor and Deputy Director for Education and Outreach of the Institute for Molecular Engineering at the University of Chicago.  He earned his BChE from the Universidad Nacional Autónoma de México, and his PhD in Chemical Engineering at the University of California, Berkeley. He conducted postdoctoral research at the Swiss Federal Institute of Technology (ETH) in Zurich and joined the faculty of the University […]

NSF DCL: Request for Information on Mid-scale Research Infrastructure

December 1st, 2017 / in Announcements, NSF, research horizons, Research News / by Helen Wright

National Science Foundation (NSF) Assistant Director for the Directorate of Computer & Information Science & Engineering (CISE) James Kurose has issued the following letter to the community to request information on Mid-scale Research Infrastructure. Dear Colleague Letter: Request for Information on Mid-scale Research Infrastructure October 6, 2017 Overview This Request for Information (RFI) is issued in response to the American Innovation and Competitiveness Act (AICA, Public Law No. 114-329), Section 109. NSF seeks information on existing and future needs for mid-scale research infrastructure projects from the US-based NSF science and engineering community. Definitions For the purposes of this RFI, NSF defines Research Infrastructure (RI) as any combination of facilities, equipment, instrumentation, computational hardware and software, and […]

New NSF Program Solicitation on Cyberlearning for Work at the Human-Technology Frontier

September 28th, 2017 / in Announcements, NSF, Research News / by Khari Douglas

The National Science Foundation (NSF) recently released a new program solicitation on Cyberlearning for Work at the Human-Technology Frontier. The goal of the program is to support research of learning technologies for both educational and work settings. Proposals should utilize current knowledge about how people learn and emerging technologies such as artificial intelligence or virtual reality in order to facilitate lifelong learning. This cross-cutting program is connected with the NSF Directorates for Computer & Information Science & Engineering (CISE); Education & Human Resources (EHR); Engineering (ENG); and Social, Behavioral and Economic Sciences (SBE). A portion of the program description reads as follows. This program solicits projects that are exploratory and experimental in nature. These […]

New NSF Transdisciplinary Research in Principles of Data Science (TRIPODS) Awards

September 27th, 2017 / in Announcements, NSF, research horizons, Research News / by Helen Wright

The National Science Foundation (NSF) recently announced $17.7 million in funding for 12 Transdisciplinary Research in Principles of Data Science (TRIPODS) projects, which will bring together the statistics, mathematics and theoretical computer science communities to develop the foundations of data science. Technological advances and unprecedented access to computing infrastructure have resulted in an explosion of data from different sources. The availability of these data — their volume and variety, and the speed at which they are collected — is transforming research in all fields of science and engineering. TRIPODS awards will enable data-driven discovery through major investments in state-of-the-art mathematical and statistical tools, better data mining and machine learning approaches, […]