The current wave of AI innovation, powered by large language models and deep neural networks, has captured the world’s attention. But what comes next? Is the future simply about scaling up what we have now, or are there new, paradigm-shifting ideas waiting to be explored? The authors of CCC’s new whitepaper, Envisioning Possible Futures for AI Research, have tackled this exact question. They’ve identified and described six potential paradigms that could define the next generation of AI. These aren’t just incremental improvements; they are truly revolutionary paths that could reshape the entire field. Join Us for a Live Q&A with Lead Author, David Jensen We’re hosting a special 30-minute virtual […]
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.
Archive for the ‘CCC’ category
Announcing CCC’s First Ever Community Chat on the Future of AI Research
September 30th, 2025 / in Announcements, CCC, CCC-led white papers / by Catherine GillCCC Releases Opinion Piece in the Communications of the ACM on Responsible Use of AI in the Criminal Justice System
September 2nd, 2025 / in Announcements, CCC / by Catherine GillArtificial intelligence (AI) is rapidly becoming a part of our daily lives, from drafting emails to recommending your next binge-watch. But what happens when AI is used to make decisions that profoundly impact a person’s life and liberty? CCC’s new CACM opinion piece, “Concerning the Responsible Use of AI in the U.S. Criminal Justice System,” explores just that. The piece, originally based on CCC’s response to the National Institute of Justice’s 2024 Request for Information, was authored by a collective of distinguished computer scientists and researchers, including many CCC council members and individuals involved with other CRA committees. The opinion piece begins by emphasizing the potential positive impacts […]
The American Technological Innovation Machine: A Conversation with Former CCC Council Chair Beth Mynatt
August 22nd, 2025 / in CCC / by Catherine GillThe United States has a remarkably effective, yet often misunderstood, system for technological innovation. It’s a powerful collaboration between universities, government, and private industry. This synergy is responsible for many of the technological breakthroughs we rely on today, from the internet to GPS to AI. In a recent episode of the Mindscape podcast, host Sean Carroll sat down with Elizabeth Mynatt, Dean of the Khoury College of Computer Sciences at Northeastern University and former CCC Council Chair, to demystify this system. The discussion covered Mynatt’s own research in human-centered computing and the broader topic of how academic research translates into real-world impact. Beyond the “Silicon Valley Garage” Story Many people […]
Bridging Recommendations from the NASEM Team Science Report and CRA/CCC Best Practices on Interdisciplinary Computing Research
July 23rd, 2025 / in CCC, CCC-led white papers, Interdisciplinary Research / by Catherine GillCCC is excited to see how our latest best-practice documents on interdisciplinary research for Funders, Researchers, and Organizational Leaders echo—and amplify—the strategic recommendations from the recent National Academies of Science, Engineering, and Medicine’s (NASEM) report on The Science and Practice of Team Science. Below, we enumerate several recommendations presented in both sets of resources. 1. Seed Funding & Early Stage Support NASEM emphasizes the importance of pilot grants and flexible budgeting for early-stage interdisciplinary work. CRA/CCC’s Best Practices for Funders document mirrors this, recommending dedicated seed-stage funding, travel grants, and support for team-building workshops to kickstart cross-disciplinary collaboration. 2. Structural & Budgetary Flexibility NASEM urges institutions to adapt budgeting, […]
Charting the Future: How AI Can Transform Biomedical Discovery and Public Health
July 22nd, 2025 / in AI, CCC / by Catherine GillThe National Institutes of Health (NIH) is embarking on a crucial journey: developing a comprehensive artificial intelligence (AI) strategy to revolutionize biomedical discovery and public health. The agency released a recent Request for Information to help inform this effort, and the Computing Community Consortium (CCC) and Computing Research Association (CRA) took this opportunity to share some recommendations, drawing from the expertise of the computing community. At its core, our guidance centers on the principle of safe, secure, and effective AI. This isn’t just about deploying cutting-edge technology; it’s about ensuring AI tools are inherently reliable, trustworthy, and ultimately beneficial for patients and researchers. Ethical considerations such as fairness and transparency […]
Unleashing Enterprise AI: Key Insights from IBM’s Lisa Amini at CCC’s Computing Futures Symposium
July 18th, 2025 / in AI, CCC, Symposia / by Catherine GillSee the Full Recording of Lisa Amini’s keynote at the CCC’s 2025 Computing Futures Symposium. In May of 2025, the Computing Community Consortium’s Computing Futures Symposium hosted an insightful keynote speech by Lisa Amini, Director of Data & AI Platforms Research, and an IBM Distinguished Engineer. With a background spanning over 25 years at IBM in areas such as Data & AI, stream processing, and distributed systems, Amini offered a comprehensive look at the rapid advancements in agentic and generative AI, and their growing impact on the enterprise. Her address highlighted a critical shift in AI research and development, global innovation trends, and the transformative potential of AI within businesses. […]







