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

 

Biden-⁠Harris Administration Takes New Steps to Advance Responsible Artificial Intelligence Research, Development, and Deployment

May 25th, 2023 / in AI, Announcements / by Maddy Hunter

The Biden-Harris Administration is continuing their recent efforts to advance the research, development, and deployment of responsible AI. With the rise of AI and its increasing capabilities these initiatives are meant to protect American citizens’ rights and safety. Last week the CCC blog highlighted responsible AI efforts from the White House. Yesterday the White House announced three more initiatives summarized below. An update to the National AI Research and Development Strategic Plan. This plan builds on plans issued in 2016 and 2019, and sets out key priorities and research goals to guide federal investments in AI research and development (R&D). It will focus federal investments in R&D to promote responsible […]

Call for Nominations: CRA/CCC Leadership in Science Policy Institute – Nov 16-17, 2023

May 24th, 2023 / in Uncategorized / by Maddy Hunter

Originally posted to the CRA Bulletin As part of its mission to develop the next generation of leaders in the computing research community, the Computing Research Association’s Computing Community Consortium (CCC) announces the sixth offering of the CRA-CCC Leadership in Science Policy Institute (LiSPI), intended to educate computing researchers on how science policy in the U.S. is formulated and how our government works. We seek nominations for participants. LiSPI will be centered around a two-day workshop to be held November 16-17th, 2023, in Washington, DC. (Full details of LiSPI are available here) LiSPI will feature presentations and discussions with science policy experts, current and former Hill staff, and relevant agency and Administration personnel about the […]

Dear Colleague Letter: Clean Energy Technology RAISE or EAGER Proposals

May 18th, 2023 / in Announcements, climate / by Maddy Hunter

The following is a joint Dear Colleague Letter from eight Assistant Directors at the National Science Foundation – Susan S. Margulies (Directorate for Engineering), Sean L. Jones (Directorate for Mathematical and Physical Sciences), Simon Malcomber (Directorate for Biological Sciences), Margaret Martonosi (Directorate for Computer and Information Science and Engineering), Alexandra R. Isern (Directorate for Geosciences), Sylvia M. Butterfield (Directorate for Social, Behavioral, and Economic Sciences),  James L. Moore III (Directorate for STEM Education) and Erwin Gianchandani (Directorate for Technology, Innovation and Partnerships). With this DCL, the National Science Foundation (NSF) invites interdisciplinary groups of Principal Investigators (PIs) to develop potentially transformative, convergent, fundamental research proposals in the area of clean energy […]

The Biden-⁠Harris Administration Announces New Actions to Promote Responsible AI Innovation that Protects Americans’ Rights and Safety

May 16th, 2023 / in AI / by Maddy Hunter

The development and implementation of responsible artificial intelligence systems has come to the forefront of conversations and concerns in government, industry and academia. Last week the Biden-Harris Administration introduced new actions to advance responsible AI. The actions include: New investments to power responsible American AI research and development (R&D). The National Science Foundation is announcing $140 million in funding to launch seven new National AI Research Institutes. This investment will bring the total number of Institutes to 25 across the country, and extend the network of organizations involved into nearly every state. These Institutes catalyze collaborative efforts across institutions of higher education, federal agencies, industry, and others to pursue transformative AI […]

ACM Article Featuring CCC Council Member David Danks on AAAS Session

May 9th, 2023 / in AAAS, AI, Announcements / by Maddy Hunter

Computing Community Consortium (CCC) council member David Danks was recently featured on ACM News for his involvement in a CCC-sponsored scientific session at AAAS 2023 “Maintaining a Rich Breadth for Artificial Intelligence.” The session featured discussions highlighting the importance of incorporating a broad range of multi-discipline research and expertise. Panelists recognized that neural networks and deep learning have driven progress in AI over the year resulting in an imbalance and dominance of these disciplines in AI research. These silos can stunt the development of AI and lead to missed opportunities for growth in the field. Accompanied by panelists Melanie Mitchell and Bo Li, David Danks discussion topic: “Let a Thousand […]

Announcing Call for Blue Sky Papers Track at ACM International Conference on Multimodal Interaction

May 3rd, 2023 / in Blue Sky / by Maddy Hunter

The 25th ACM International Conference on Multimodal Interaction will be in Paris, France from October 9-13th, 2023. The CCC is pleased to partner with ACM ICMI to continue the Blue Sky Paper track, initialized in 2021 and continued in 2022, that emphasizes innovative, visionary, and high-impact contributions. This track solicits papers relevant to ICMI content that go beyond the usual research paper to present new visions that stimulate the ICMI community to pursue innovative new directions. They may challenge existing assumptions and methodologies or propose new applications or theories. The papers are encouraged to present high-risk controversial ideas. Submitted papers are expected to represent deep reflection, argue rigorously, and present […]