The Computing Community Consortium (CCC) will hold a virtual workshop the week of Oct. 5-9 (with a reception on Fri., Oct. 2) to address the physics & engineering challenges in adiabatic/ reversible classical computing. This workshop will gather the research community in this field, lay a common foundation of existing state-of-the-art knowledge, and work together to prepare a comprehensive workshop report that can make the case for a major new initiative effectively to federal-level decision-makers. Workshop participants will be selected by invitation only. We seek short position papers to help us create the agenda for the workshop and select attendees. If you are interested in attending the workshop, please submit […]

The Herbert A. Simon Award is presented to researchers who have made important lifetime contributions to the field of complex systems science. It is named in memory of Herbert A. Simon for his pioneering work on complex systems, artificial intelligence, information processing, decision-making, problem-solving, and organization theory. The award ceremony is held during the International Conference on Complex Systems. In 2020, the Award will be presented to Computing Community Consortium (CCC) Council member Melanie Mitchell for her prolific contributions to complex systems science and artificial intelligence. Prof. Mitchell is the Davis Professor of Complexity at the Santa Fe Institute, and Professor of Computer Science (currently on leave) at Portland State University. Her […]

Today, July 1st, is the start of a new term at CCC! The Computing Community Consortium (CCC) is happy to announce that Liz Bradley from the University of Colorado-Boulder is the new Chair and Dan Lopresti from Lehigh University is the Vice Chair. Mark D. Hill from the University of Wisconsin-Madison is the Chair Emeritus. The CCC Chair and Vice Chair both serve two-year terms; at the culmination of the two years, the Vice Chair typically becomes the new Chair. The CCC also welcomes seven new council members, nominated by colleagues in the computing research community, who began their three-year terms today: Kathleen Fisher, Tufts University William D. Gropp, University […]

The following is a letter from CCC Chair Mark D. Hill from the University of Wisconsin-Madison. Hello: Tonight the Computing Community Consortium transitions leadership and members, including me stepping down as Chair. Congratulations to the new CCC Chair Liz Bradley, Vice Chair Dan Lopresti, and new members Kathleen Fisher, William D. Gropp, Brian LaMacchia, Melanie Moses, Helen Nissenbaum, and Holly Yanco. I look forward to great accomplishments! Thanks to all the current and former CCC members who have contributed to CCC’s continued successes these last several years, especially those rotating off the council: Juliana Freire, Keith Marzullo, Greg Morrisett, Jen Rexford, and Ben Zorn. Thanks to the staff who enable […]

The Computing Community Consortium (CCC) is pleased to announce the release of the Computational Support for Substance Use Disorder Prevention, Detection, Treatment, and Recovery Workshop Report!   Chaired by Lana Yarosh from the University of Minnesota, the Computational Support for Substance Use Disorder Prevention, Detection, Treatment, and Recovery November 2019 workshop brought together an interdisciplinary group of leading researchers and practitioners to identify opportunities and challenges for enabling innovative computational support for prevention, detection, treatment, and long-term recovery from SUDs. The steering committee members were Suzanne Bakken (Columbia University), Alan Borning (University of Washington), Munmun De Choudhury (Georgia Institute of Technology), Cliff Lampe (University of Michigan), Elizabeth Mynatt (Georgia Tech), Stephen […]

Contributions to this post were provided by members of the Computing Community Consortium (CCC) Fairness, Accountability, Disinformation, and Explainability (FADE) Task Force.  The National Security Commision on Artificial Intelligence (NSCAI) published a report outlining their recommendations to address challenges arising out of the expanding AI landscape – most notably the awareness of an AI competition amongst the world powers and the need for the United States to win this AI race. The recommendations spell out what the NSCAI believes will accelerate U.S performance in AI and strengthen our national security and economy. The following is a look at some key points of the recommendation report from the perspective of the […]