The 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 academic subjects […]

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, […]

CCC 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 […]

The 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 […]

CCC 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 […]

The 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 […]