Over the past two years, the Computing Community Consortium (CCC) has organized 19 visioning workshops on a wide range of topics, and also funded a number of other events to help serve the computing research community. Please help us determine the CCC’s current impact on the computing research community by completing this survey. The CCC strives to serve the computing research community, so your feedback is extremely valuable. This survey will take about 5-10 minutes.  Only aggregate responses will be reported; comments may be quoted in our internal evaluation report, but no individually identifiable information will be released. Please feel free to share this survey with others in the community who may have benefited from the CCC. […]

Contributions to this post were made by Greg Hager, Computing Community Consortium (CCC) Past Chair and Professor in the Department of Computer Science at Johns Hopkins University.  In June, the White House Office of Science and Technology Policy (OSTP) announced a new Request for Information (RFI) on Artificial Intelligence (AI), to solicit feedback on how the United States can best prepare for the future of AI. According to the OSTP Blog, they “received 161 responses from a range of stakeholders, including individuals, academics and researchers, non-profit organizations, and industry.” All of the responses are now public and can be found here. The Computing Community Consoritum‘s (CCC) submitted a response, which can be found here, after […]

The following Great Innovative Idea is from Christopher B. Harris, the Presidential Diversity Postdoctoral Fellow in the School of Engineering at Brown University. Harris presented his poster, Processor Design Exploration for Vision Based Mobile Robots, at the CCC Symposium on Computing Research, May 9-10, 2016. The Idea At Brown University, we’re designing robots! Actually, we’re building the simulation tools used to design mobile robots. Mobile robots require specialized algorithms for tasks such as perception and control. These algorithms are often very processor intensive. As a result, much of the innovation in mobile robotics currently occurs at the software level. Robotics researchers will often devise new algorithms and run them on whatever computing platform is […]

The following is a blog post from Jonathan Ortiz, a Data Analytics and Big Data student at The University of Texas at Austin. Ortiz participated in data.world, an Austin data startup, through a DataStart fellowship managed by the South Big Data Hub with support from the Computing Community Consortium (CCC) and the National Science Foundation (NSF). This blog was originally published by HUBBUB!, the South Big Data Hubs Blog.  As the summer semester passes its halfway point, I take a moment to reflect on just what an amazing summer it has been and think ahead to what is in store for the second half. I am a Data Analytics and Big Data student at The […]

The following is a guest blog post by CCC council member Klara Nahrstedt from the University of Illinois at Urbana – Champaign and past CCC council member Ross Whitaker from University of Utah.  ‘Computing in the physical world’ themes are emerging rapidly within our urban and rural areas. Cyber-physical systems, Internet of Things technologies, Big Data analytics algorithms, and new computing sustainability paradigms are being discussed across government, industry, foundations, and academia. This was also the purpose of discussions during the ½ day event, called “Computing in the Physical World” at the Computing Community Consortium (CCC) Symposium on Addressing National Priorities and Societal Needs. The “Computing in the Physical World” event […]

The following is a guest blog by Vasant G Honavar, Computing Community Consortium (CCC) Member, Edward Frymoyer Endowed Professor of Information Sciences and Technology, Professor of Computer Science, and Director of the Center for Big Data Analytics and Discovery Informatics at the Pennsylvania State University. It has long been recognized that many routine or manual blue collar work has been, and will continue to be, automated. The World Economic Forum’s Future of Jobs Report predicts widespread disruption not only to business models as well as labor markets, due to the “Fourth Industrial Revolution” unleashed in part, by the advances in artificial intelligence and machine learning, robotics, among other fields. The […]