Significant contributions to this post were provided by Computing Community Consortium (CCC) council member Juliana Freire from NYU. When a new exciting discovery is announced in our field, can we trust it? How was it produced? What data and code was used? How accurate are the results? Can they be reproduced? Recently, Congress1 directed the National Science Foundation (NSF) to contract with the National Academies of Sciences, Engineering, and Medicine (NAS) to “undertake a study to assess reproducibility and replicability in scientific and engineering research and to provide findings and recommendations for improving rigor and transparency in research.” An interdisciplinary committee of fifteen members, including CCC Council Member Juliana Freire, […]
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.
Author Archive
NAS Report on Reproducibility and Repeatability in Science
May 22nd, 2019 / in Announcements, policy, research horizons, Research News / by Helen WrightRequest Comments on Draft: A 20-Year Community Roadmap for AI Research in the US
May 21st, 2019 / in AI, Announcements, CCC, research horizons, Research News / by Helen WrightCCC Chair Mark D. Hill, CCC Vice Chair Liz Bradley, and CCC Director Ann Schwartz Drobnis provided significant contributions to this post. The Computing Community Consortium (CCC) requests comments by May 28, 2019 on a draft of A 20-Year Community Roadmap for AI Research in the US. Please see links and logistics at the end of this blog post. This draft arises from a community process that has already involved more than one hundred AI professionals. In Fall 2018, the Computing Community Consortium (CCC) started an initiative to create a Roadmap for Artificial Intelligence to be led by Yolanda Gil (University of Southern California and President of AAAI) and Bart Selman (Cornell University and President Elect of […]
Have an Impact on U.S. Science Policy, Attend CRA’s CCC Leadership in Science Policy Institute!
May 16th, 2019 / in Announcements, CCC, CRA, policy / by Helen WrightThe following is a guest blog post by the Computing Research Association (CRA) Government Affairs Director, Peter Harsha. It was originally posted on CRA’s Computing Research Policy Blog. Every two years as part of it’s mission to develop the next generation of leaders in the computing research community, CRA’s Computing Community Consortium, in partnership with CRA’s Government Affairs Committee, holds the Leadership in Science Policy Institute (LiSPI) workshop, intended to educate computing researchers on how science policy in the U.S. is formulated and how our government works. We’re seeking nominations for participants for this year’s workshop, scheduled for November 21-22, 2019, in Washington DC. LiSPI features presentations and discussions with science policy experts, […]
“Second Place America?” Major Report Detailing the Nation’s Declining Leadership in Research and Technology Released at Capitol Hill Event
May 15th, 2019 / in Announcements, policy, research horizons, Research News / by Helen WrightThe following is a Computing Research Association Government Affairs Blog post by CRA Policy Analyst, Brian Mosley. Mosley served as the co-chair of the report “Second Place America?” Major Report Detailing the Nation’s Declining Leadership in Research and Technology and helped organize a Task Force on American Innovation (TFAI) report release event on Tuesday, May 14th. One of the speakers at the release was Computing Community Consortium (CCC) executive council member Nadya Bliss from Arizona State! On Tuesday May 14th, the Task Force on American Innovation (TFAI), an alliance of leading American companies and business associations, research university associations, and scientific societies, released a major report assessing the United States’ investment […]
Request Comments on Draft: A 20-Year Community Roadmap for AI Research in the US
May 13th, 2019 / in AI, Announcements, research horizons, Research News, robotics, workshop reports / by Helen WrightCCC Chair Mark D. Hill, CCC Vice Chair Liz Bradley, and CCC Director Ann Schwartz Drobnis provided significant contributions to this post. The Computing Community Consortium (CCC) requests comments by May 28, 2019 on a draft of A 20-Year Community Roadmap for AI Research in the US. Please see links and logistics at the end of this blog post. This draft arises from a community process that has already involved more than one hundred AI professionals. In Fall 2018, the Computing Community Consortium (CCC) started an initiative to create a Roadmap for Artificial Intelligence to be led by Yolanda Gil (University of Southern California and President of AAAI) and Bart Selman (Cornell University and President Elect of […]
CS for Social Good White Paper Competition
May 9th, 2019 / in Announcements, CCC, research horizons, Research News / by Helen WrightThe Computing Community Consortium (CCC), in conjunction with Schmidt Futures, will sponsor and administer a white paper competition on the future of “CS for Social Good,” in order to harness CS to address societal challenges such as: Accelerating the transition to a low-carbon economy; Reducing the inter-generational transmission of poverty; Feeding 10 billion people while reducing the environmental footprint of agriculture; Reducing the time and cost for a low-income worker to gain a skill that is a ticket to the middle class; Using data to support evidence-based policy while protecting privacy and security; Reducing health care costs while maintaining or improving health outcomes; and Improving K-12 student learning outcomes in core […]







