The Computing Community Consortium (CCC) is excited to announce the release of a new joint whitepaper with CRA-Industry, The Future of Programming in the Age of Large Language Models. A collaborative effort of leading experts in academia and industry Arjun Guha (Northeastern University) and Ben Zorn (Microsoft), this paper delves into the profound impact of large language models (LLMs) on the landscape of software development and computing education. In just a few short years, LLMs have evolved from research curiosities to powerful tools wielded by computing professionals, integrated into educational curricula, and driving new avenues of research. This rapid adoption has fundamentally shifted how we approach programming and how […]

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 […]

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 […]

  Interdisciplinary research in computing is vital for addressing complex societal challenges. However, despite its importance, fostering successful interdisciplinary collaborations remains a significant challenge. The Computing Research Association (CRA) and its Computing Community Consortium (CCC) gathered insights from 40 experts across academia, industry, and government through a series of roundtable discussions to identify challenges in interdisciplinary research. The results of these discussions are being published in a series of best practices documents. The first, published in July 2024, recommended best practices for researchers collaborating on interdisciplinary teams. This second paper of the series focuses on how these collaborations can be better supported by funders, including government agencies, industry, philanthropic donors, […]

    In early February, the Networking and Information Technology Research and Development (NITRD) National Coordination Office (NCO) published a Request for Information (RFI) on the Development of an Artificial Intelligence Action Plan. This RFI, released on behalf of the White House Office of Science and Technology Policy, sought to inform the “priority policy actions needed to sustain and enhance America’s AI dominance.”   An incredible 8,755 responses were submitted to this RFI, including many from large industry companies, such as OpenAI, Google, and Anthopic, as well as many start-ups and “middle tech” companies (you can find a brief summary of several of their shared recommendations here). The Computing Research […]