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.


Posts Tagged ‘AI

 

Next Steps for U.S. Drone Computing: Key Recommendations for a 2035 Vision

September 9th, 2026 / in AI, CCC, resources, robotics / by Marla Mackoul

The Computing Community Consortium (CCC) is excited to release a new key recommendations brief drawn from the recent Computing on the Fly: Navigating a Vision for the Future of Drone Computing report. The report lays out a vision for non-military drone infrastructure by 2035 and identifies twelve technical challenges standing in the way. This brief, Key Recommendations for the Future of Drone Computing, outlines the next steps, translating those challenges into specific actions for the four computing communities whose decisions will determine whether that vision is met: scientific funders, policymakers, industry, and academia. Action is urgent to realize the full potential of non-military drones. The report establishes milestones for 2028, […]

Engineering Trustworthy, Large-Scale Software Systems with AI: New Report Released

August 31st, 2026 / in Announcements, CCC, workshop reports / by Marla Mackoul

The role of the software engineer is fundamentally changing. AI-assisted software development has, in many cases, become a new norm, fostering a demand for unprecedented speed in production. Yet the transition from traditional coding to AI-powered development is not as simple as receiving a boost to productivity. It requires both brand-new skills on the part of the developer and a more fundamental rethinking of how software — especially at scale — is generated. In this rapidly evolving field, new understandings of how to capture user intent, ensure system quality at AI-generative scales, and train the next generation of developers are essential. Beyond Code Report Beyond Code: The Workshop To better […]

Industry Opportunities for Advancing Non-Military Drone Computing

August 13th, 2026 / in CCC, robotics / by Marla Mackoul

Computing on the Fly: Navigating a Vision for the Future of Drone Computing, the Computing Community Consortium’s (CCC) latest report, presents the benefits of advancing the United States’s non-military drone infrastructure, with numerous potential benefits to industry. Drones have the capacity to provide large-scale support to supply chains (particularly rural routes), for example, as well as revolutionize agricultural efficiency. By 2035, these benefits can be made tangible. Computing on the Fly also goes one stop further, laying out the exact ways to make this happen. Below, find a summary of the ways current industry efforts can advance non-military drone computing.  Key Challenges in Advancing Drone Computing  The report identifies twelve […]

Assessing Security Considerations for Artificial Intelligence

April 23rd, 2026 / in AI, CCC, resources / by Marla Mackoul

As artificial intelligence (AI) has become increasingly ubiquitous across domains, the need for it to be reliably secure has only grown. Yet in many ways, ensuring the security of AI agents is fundamentally different from the cybersecurity challenges of the past. To address this growing challenge, the U.S. Center for AI Standards and Innovation (CAISI), housed within the National Institute of Standards and Technology (NIST) at the Department of Commerce, released a Request for Information (RFI) on practices and methodologies for measuring and improving the secure development and deployment of AI agent systems. The Computing Community Consortium (CCC) and Computing Research Association (CRA) recently submitted a response to this RFI, […]

How Citizen Science Can Transform Advanced Computing — And, Ultimately, Scientific Research As a Whole

April 1st, 2026 / in AI, CCC, Interdisciplinary Research, Visioning Workshops, workshop reports / by Marla Mackoul

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 […]

Navigating and Increasing the Use of AI in Clinical Care

March 10th, 2026 / in AI, CCC, CRA-I, health, Healthcare, Industry, policy, Requests for Information / by Marla Mackoul

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 […]