The Computing Community Consortium (CCC) is hosting its highly anticipated Computing Futures Symposium in the nation’s capital, Washington, D.C., on May 15-16, 2025. This isn’t just another conference; it’s a dynamic forum where the architects of our digital future – leading researchers in computing, influential figures from federal agencies, and insightful voices from civil society – will converge to explore the cutting edge of computing research and its transformative power. The symposium features a series of panel discussions and keynote addresses from prominent experts across a spectrum of computing disciplines, including the future of robotics and autonomy, the evolving landscape of artificial intelligence, the intersection of computing and healthcare, and […]

This is the second post in a two-part series recapping the panel Social Technologies: Why We Can’t Live With Them or Without Them, which was supported by the Computing Community Consortium (CCC) at the 2025 AAAS Annual Conference. The first post, Rethinking Social Technologies: Platforms, Protocols, and the Push for Decentralization, explored how researchers and technologists are approaching the future of social media through decentralized design and protocol-driven innovation. This follow-up highlights the second half of the panel discussion, which examined critical issues related to artificial intelligence, online trust, and potential regulatory responses. The panel was moderated by Sarita Schoenebeck, Professor of Information at the University of Michigan, and featured […]

Previously published on the CRA-Industry blog on April 22, 2025.  The Computing Research Association (CRA) has released a new whitepaper, Industry Engagement in Academic Research — a joint effort of two of its programmatic committees, CRA-Industry (CRA-I) and the Computing Community Consortium (CCC). The paper, authored by Elizabeth Bruce (Microsoft), Randal Burns (Johns Hopkins University), Theo Drane (AMD), Mary Lou Maher (CCC), Manish Parashar (University of Utah), Divesh Srivastava (AT&T), Michela Taufer (University of Tennessee, Knoxville), and Helen Wright (CRA/CRA-I), highlights the importance of industry engagement in academic research to foster a strong, reciprocal relationship to advance knowledge, develop technologies, and drive long-term success. Collaboration between academia and industry is essential for advancing computing research and translating breakthroughs into real-world applications. While universities push the boundaries […]

The Computing Community Consortium (CCC) supported a session at this year’s AAAS Annual Conference titled Social Technologies: Why We Can’t Live With Them Or Without Them. The panel was moderated by Sarita Schoenebeck, Professor of Information at the University of Michigan, and featured Andrés Monroy-Hernández, Associate Professor and co-leader of the Princeton HCI Lab at Princeton University, Motahhare Eslami, Assistant Professor of Software and Societal Systems at Carnegie Mellon University, and Bryan Newbold, Protocol Engineer at Bluesky. The panelists provided their perspectives on how social technologies are impacting society. Schoenebeck opened the panel by explaining that while there are many demonstrated benefits to social technologies (e.g., online conversations, relationships, and […]

The Computing Community Consortium (CCC) is very pleased to announce the release of the final report in the workshop series on enabling research collaborations between Artificial Intelligence (AI) and Operations Research (OR) experts. This workshop series, first proposed in 2020, recognized the significant progress made in Artificial Intelligence research in recent years, especially in areas such as machine learning. However, it also noted the advances in optimization and decision-making made within AI, areas where the deep expertise of Operations Research is invaluable. Recognizing the complementary strengths of these two fields and the potential for significant societal impact through their synergy, the workshop series aimed to bridge this gap.   “From […]

On March 18, 2025, the Joint California Policy Working Group on AI Frontier Models released a draft report that could help shape how the state navigates the rapidly evolving landscape of artificial intelligence (AI). Commissioned by Governor Gavin Newsom in September 2024, the report is the result of a collaboration between three prominent figures in academia and policy: Fei-Fei Li, Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence; Mariano-Florentino Cuéllar, President of the Carnegie Endowment for International Peace; and Jennifer Tour Chayes, Dean of the UC Berkeley College of Computing, Data Science, and Society. How California decides to tackle oversight of AI — both in terms of fostering innovation […]