Citizen science projects have contributed to scientific progress across disciplines. From users mapping biodiversity on iNaturalist, to analyzing protein folding configurations to advance drug discovery on Foldit, to discovering new planets on Zooniverse, we have seen the value of engaging everyday participants in scientific research projects. The Computing Community Consortium (CCC) recently published a new report on how advanced computing, especially artificial intelligence (AI), can extend that impact even further while at the same time contribute to human-in-the-loop computational research. The report, titled Grand Challenges for the Convergence of Computational and Citizen Science Research, assesses the ways that such technology can increase the potential of citizen science, ultimately enhancing scientific […]

The regular professional use of artificial intelligence (AI) has grown increasingly common in the past few years, and AI tools in the healthcare sector are no exception. The clinical use of AI has incredible potential, but it also requires a strong cognizance of the unique needs of patients and healthcare providers.  To that end, the U.S. Department of Health and Human Services (HHS), together with the Assistant Secretary for Technology Policy and Office of the National Coordinator for Health Information Technology (ASTP/ONC), recently put out a request for information (RFI) on the advancement of AI use in clinical care. It asked what HHS can do to foster public trust and […]

Last week, the Computing Community Consortium (CCC) teamed up with the IEEE Computer Society (IEEE-CS) to host the AI-centered visioning workshop Beyond Code: Engineering Trustworthy Software Systems with AI at Scale. Held at The Westin hotel in San Francisco, CA from February 25-26, 2026, this workshop brought together dozens of experts who work with artificial intelligence in different capacities. The goal was to better understand the current impacts of AI and lay out a roadmap for transforming it — responsibly — into something that can craft not only individual pieces of code, but complex and interdependent computing systems. Working alongside CCC staff, the workshop was organized by an inspired team […]

In a new workshop report published by the Computing Community Consortium (CCC), Grand Challenges for the Convergence of Computational and Citizen Science Research, experts across disciplines examine the ways in which computational science — including artificial intelligence (AI) — and citizen science can mutually enrich each other, fostering increased opportunity for advancement in numerous scientific fields. The report presents a roadmap for maximizing the potential of citizen science through the contributions of AI — and vice versa — while also demonstrating the broader applications of this union for challenges across ecological, infrastructural, clinical, and other domains. “We are entering a brave new world where we are renegotiating the relationship between […]

The buzz around artificial intelligence (AI) is undeniable, with daily headlines touting its revolutionary potential. But for AI to truly transform science and society, we need to look beyond the impressive demos and massive models and ensure we achieve the desired impacts in a deliberate, responsible, secure way. Last week at the AAAS 2026 Annual Conference in Phoenix, Arizona, a panel organized by the Computing Community Consortium (CCC) titled “Shaping the Future of AI’s Impact on Society” captivated a crowded room of researchers and media representatives. Manish Parashar (University of Utah) moderated the panel, and the speakers were Rayid Ghani (Carnegie Mellon University), Carla P. Gomes (Cornell University), and Elham Tabassi […]

The world is buzzing about artificial intelligence (AI), driven by the remarkable advancements in deep neural networks, large language models, and other types of foundation models. But what’s next? A new whitepaper, “Envisioning Possible Futures for AI Research,” from the Computing Community Consortium (CCC) dives into this crucial question, suggesting that the current wave of AI innovation, while powerful, is built on a paradigm that’s already 15 years old. “The current paradigm, while incredibly successful, is not the endpoint,” says David Jensen, one of the paper’s authors from the University of Massachusetts Amherst. “For AI to continue to progress over the long term, we need researchers to be actively exploring […]