By Matt Hazenbush, Director of Communications and Member Engagement Policymakers are increasingly confronting the consequences of technology-facilitated harm — from cyberstalking and targeted harassment to online exploitation and coercive misuse of digital tools. These harms disproportionately affect individuals whose circumstances make them more exposed to digital risk, and they present complex challenges that cut across technology, law, and public safety. The Computing Community Consortium’s recent report, Supporting At-Risk Users Through Responsible Computing, offers a research-driven foundation for addressing these issues. While the report primarily outlines research priorities for the academic community, it also contains insights directly relevant to federal agencies, regulators, and lawmakers seeking to strengthen national policy responses. A […]
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.
Addressing Technology-Facilitated Harm: Key Insights for Federal Policymakers
November 26th, 2025 / in CCC / by Elora DanielsEvent Preview: CCC’s “Computing on the Fly” Workshop Takes Flight Next Week in D.C.
November 24th, 2025 / in CCC / by Elora DanielsBy Matt Hazenbush, Director of Communications and Member Engagement The Computing Community Consortium (CCC), with event co-sponsor IEEE Computer Society (IEEE-CS), will convene leading researchers, practitioners, and technologists in Washington, D.C. next week for Computing on the Fly: Navigating a Vision for the Future of Drone Computing. This two-day interdisciplinary visioning workshop will focus on shaping a research agenda for drone computing over the next decade. Held December 1-2 at The Darcy Hotel, the workshop brings together experts spanning robotics, distributed systems, security, networking, artificial intelligence, public policy, and industry innovation. Participants will engage in deep discussion, collaborative brainstorming, and structured breakout activities designed to surface the research challenges, opportunities, […]
Advancing Responsible Computing: CCC Visioning Workshop Report on At-Risk Technology Users
November 13th, 2025 / in CCC / by Elora DanielsBy Matt Hazenbush, Director of Communications and Member Engagement The Computing Community Consortium (CCC) has released a new visioning report, Supporting At-Risk Users Through Responsible Computing, synthesizing insights from the December 2024 CCC Visioning Workshop. The report presents a detailed research roadmap for advancing responsible computing practices that better protect individuals who face heightened exposure to technology-facilitated harm. The workshop convened 49 researchers and practitioners from academia, industry, and civil society who work directly on issues such as cyberstalking, online harassment, digital exploitation, and related technology-enabled risks. Their discussions focused on articulating the frameworks, methodological gaps, and structural challenges that must be addressed to build a more rigorous and coordinated […]
Bill Gropp Named Chair of CRA’s Computing Community Consortium (CCC)
October 28th, 2025 / in CCC / by Elora DanielsBy Matt Hazenbush, Director of Communications and Member Engagement This announcement is also featured on the CRA Bulletin The Computing Research Association (CRA) is pleased to announce that William D. (Bill) Gropp has been named Chair of CRA’s Computing Community Consortium (CCC), pending approval from the National Science Foundation (NSF) once the ongoing government shutdown concludes. Gropp is expected to serve as CCC Chair through June 30, 2028. Gropp has long been an influential leader in high-performance computing (HPC) and in shaping national research directions in computing. He joined the CCC Council in 2020 and the CCC Executive Committee in 2021, has served on the CRA Board of Directors since […]
Exploring What’s Next for AI Research: Highlights from the CCC Community Chat
October 27th, 2025 / in Uncategorized / by Elora DanielsBy Matt Hazenbush, Director of Communications and Member Engagement The Computing Community Consortium (CCC) launched its new Community Chat series with a dynamic discussion on the future of artificial intelligence (AI) research, featuring David Jensen (University of Massachusetts Amherst) and co-authors of the CCC whitepaper Envisioning Possible Futures for AI Research. Moderated by Peter Harsha (CRA) and introduced by Michela Taufer (University of Tennessee, Knoxville), the session drew participants from academia, industry, and government who explored what might come after today’s era of large language models and foundation models. Exploring What Comes After Foundation Models The whitepaper and discussion centered on a central question: What could be the next revolution […]
Accelerating Safe Automated Vehicle Deployment: Key Research Priorities
October 20th, 2025 / in CCC, Requests for Information / by Haley GriffinThe deployment of Automated Vehicles (AVs) promises to fundamentally change the way people travel, but its success hinges on tackling critical research gaps, as outlined in the recent response by the Computing Community Consortium (CCC) and Computing Research Association (CRA) to the U.S. Department of Transportation (DOT)’s Request for Information, written by Gabrielle Allen (University of Wyoming), Haley Griffin (Computing Community Consortium/Computing Research Association), Ming Lin (University of Maryland), Manish Parashar (University of Utah), and Weisong Shi (University of Delaware). Read the RFI >>> Here’s a look at the most vital areas for coordinated national research according to the authors. 1. Standardizing Data and Learning from the Edge To […]







