CCC 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, […]

The 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 […]

See 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. […]

Mary Lou Maher, CRA’s Director of Research Community Initiatives and leader of the Computing Community Consortium (CCC), will be concluding her tenure at CRA at the end of August. We thank Mary Lou for her leadership and contributions to the computing research community during her time at CRA. As the Director of CCC, Mary Lou provided strategic, administrative, and programmatic leadership. During her time in the role, CCC organized more than 20 community events, including two symposia and five visioning workshops, with two additional workshops currently in development. She also oversaw the publication of six visioning workshop reports, three Best Practices for Interdisciplinary Computing Research documents, and eight Quadrennial Papers. […]

The White House Office of Science and Technology Policy (OSTP) recently released a memorandum to federal agencies to offer guidance on implementing the recent executive order on “Restoring Gold Standard Science”. The memo, authored by OSTP Director Michael Kratsios, offered nine key tenets for conducting scientific research, one of which was focused on “Collaborative and Interdisciplinary” research. Interdisciplinary research, the memo says, is “vital for generating new knowledge, as it fosters synergy, leverages complementary skills, and promotes the synthesis of ideas to raise new questions and tackle multifaceted problems that transcend traditional disciplinary boundaries.” The memo directed agencies to prioritize this type of interdisciplinary research, through improved collaboration between agencies […]

A recent New York Times article by Steve Lohr, “How Do You Teach Computer Science in the A.I. Era?”, powerfully highlights the profound impact of generative AI on computer science education. As an organization dedicated to catalyzing and enabling the computing research community, CCC recognizes the urgency and criticality of this transformation. The article outlines the current landscape, noting that universities nationwide are grappling with how to adapt their curricula. The traditional emphasis on mastering programming languages is indeed being challenged by AI assistants that can generate increasingly sophisticated code. Jeannette Wing, Columbia University professor and former Computing Research Association (CRA) board member, aptly captures the current sentiment in the […]