The Computing Community Consortium (CCC) is charged with catalyzing and empowering the U.S. computing research community to articulate and advance major research directions for the field. Established in 2006 through a cooperative agreement between the U.S. National Science Foundation (NSF) and the Computing Research Association (CRA), the CCC provides a voice for the national computing research community, facilitating the development of a bold, multi-themed vision for computing research and communicating that vision to a wide range of stakeholders. To fulfill its mission, the CCC needs visionary leaders — people with great ideas, sound judgment, and the willingness to work collaboratively to see things through to completion. The Council is composed of 20 researchers representing the breadth […]
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.
Archive for the ‘CCC’ category
Nominations Sought for New CCC Council Members
January 28th, 2021 / in Announcements, CCC / by Helen WrightCCC Vice Chair Dan Lopresti Elected President of the International Association for Pattern Recognition (IAPR)
January 27th, 2021 / in Announcements, CCC / by Helen WrightComputing Community Consortium (CCC) Vice Chair Dan Lopresti was recently elected president of the International Association for Pattern Recognition (IAPR). IAPR is an international association of non-profit, scientific, and professional organizations (national, multi-national, or international in scope) concerned with research in pattern recognition, computer vision, and image processing. IAPR was established in January 1978 and currently consists of 50 national societies, bringing together nearly 10,000 researchers in these fields. The organizational structure of IAPR includes 13 Standing Committees and 17 Technical Committees. IAPR sponsors or endorses several dozen conferences and workshops annually for the benefit of the international scientific community. Lopresti was elected by an international Governing Board at the […]
CCC Council Member Melanie Mitchell on if AI can Exist in Medicine Without Human Oversight
January 19th, 2021 / in AI, CCC, Healthcare, Research News, Uncategorized / by Maddy HunterMelanie Mitchell, Computing Community Consortium (CCC) Council member and Professor at the Santa Fe Institute and Portland State University was recently interviewed on the Medscape podcast, Medicine and the Machine in an episode titled ‘Can AI Exist in Medicine Without Human Oversight?. The podcast, led by Medscape editor-in-chief Eric Topol and Abraham Verghese from Stanford, explores critical questions and discussions on artificial intelligence’s (AI) impact on modern medicine. While it was acknowledged that AI has made great strides in the past decade on accomplishing narrow tasks, the episode highlights that the technology still lacks the ability to work autonomously in the field of medicine. Making this a possibility would require […]
National AI Initiative Office launched by White House
January 13th, 2021 / in AI, Announcements, CCC, robotics, workshop reports / by Helen WrightThe White House yesterday established a new office focused on coordinating U.S. efforts in Artificial Intelligence research. The new National Artificial Intelligence Initiative Office, under the leadership of Founding Director and current U.S. Deputy Chief Technology Officer Lynne Parker, “is charged with overseeing and implementing the United States national AI strategy and will serve as the central hub for Federal coordination and collaboration in AI research and policymaking across the government, as well as with private sector, academia, and other stakeholders.” See the new logo that features a bald eagle clutching a neural network. The White House Office of Science and Technology Policy (OSTP) established the new office in accordance […]
CCC Council Member Maria Gini Featured in University of Minnesota Article: Designing the Next Generation of Robots
January 12th, 2021 / in Announcements, CCC, CS education, Research News, robotics / by Maddy HunterContributions to this post were provided by CCC Council member Maria Gini. Computing Community Consortium (CCC) Council member and Distinguished Professor of the College of Science and Engineering at the University of Minnesota, Maria Gini was recently featured in an article highlighting the work of U of M’s Minnesota Robotics Institute (MnRI). The Minnesota Robotics Institute is a unit of U of M’s College of Science and Engineering Department that brings together students and researchers from all over the world to pursue an education in robotics. The article highlighted a couple of ongoing and past projects that have come out of the institute including a robot used to detect autism in […]
CCC Council Members Chad Jenkins and Holly Yanco are Newly Elected AAAI Fellows!
January 11th, 2021 / in Announcements, CCC, robotics / by Helen WrightContributions to this post were provided by CRA’s Communication Specialist Shar Steed. The Association for the Advancement of Artificial Intelligence (AAAI) recently elected its 2021 Fellows. The AAAI Fellows program recognizes individuals who have made significant, sustained contributions — usually over at least a ten-year period — to the field of artificial intelligence. Two of the newly elected fellows are Computing Community Consortium (CCC) Council members! Odest Chadwicke Jenkins, University of Michigan Jenkins was recently interviewed by the New York Times about his thoughts on the Artificial Intelligence field’s failure to make systems that are accurate for everyone. He is one of the authors of the Next Wave Artificial Intelligence: […]







