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.


Author Archive

 

CCC Computing Research Symposium- Computing in the Physical World

July 21st, 2016 / in Announcements, CCC, research horizons, Research News / by Helen Wright

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 […]

CCC Computing Research Symposium- Life Long Learning (Education and Workforce)

July 20th, 2016 / in Announcements, CCC, Research News / by Helen Wright

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 […]

CCC Computing Research Symposium- Learning Health Systems and Successful Aging

July 19th, 2016 / in CCC, Research News, videos, workshop reports / by Helen Wright

The following is a guest blog by Beth Mynatt, Computing Community Consortium (CCC) Chair, Professor and Director of Georgia Tech’s Institute for People and Technology.  Computing technology creates the core capabilities in many industry sectors including healthcare. Healthcare in particular is beset with many challenges. Despite over $3 trillion (over 17% GDP) of expenditures, approximately ¼ of hospital patients suffer preventable harm. By some accounts, healthcare errors are the 3rd leading cause of death in the US following heart disease and cancer. Complexity abounds. Older adults typically can often be prescribed 10 or more medications and must coordinate treatment by as many clinicians. Correspondingly clinicians are treating more patients. ICU […]

NSF Dear Colleague Letter: Advanced Wireless Research Initiative

July 18th, 2016 / in Announcements, NSF / by Helen Wright

National Science Foundation (NSF) Assistant Director for the Directorate of Computer & Information Science & Engineering (CISE) James Kurose has issued the following letter to the community to announce NSF’s  and CISE ‘s role in the new Advanced Wireless Research Initiative.  Dear Colleagues, I am pleased to let you know about NSF’s and CISE’s leadership role in a new White House Initiative being announced today (see http://go.wh.gov/M838be)  — the Advanced Wireless Research Initiative, which will feature more than $400 million over the next seven years to support fundamental wireless research and experimentation.  The centerpiece of this investment will be more than $85 million for the design, development, deployment, and operations of four city-scale platforms for advanced wireless […]

New Connected Vehicle Data Environments from the Following Projects of the Dynamic Mobility Application (DMA) Program are Now Available in the Research Data Exchange

July 13th, 2016 / in Announcements / by Helen Wright

The Research Data Exchange (RDE) is a web-based data resource provided by the USDOT Intelligent Transportation Systems (ITS) Program. It collects, manages, and provides access to archived and real-time multi-source and multi-modal data to support the development and testing of ITS applications. The RDE now houses the following three additional data environments: Intelligent Network Flow Optimization (INFLO) The two prototyped INFLO applications (speed harmonization (SPD-HARM) and queue warning (Q-WARN)) were demonstrated from January 12 through January 16, 2015 on a segment of I-5 in Seattle, WA. The purpose of this project was to demonstration the functionality and performance of these two prototype applications in an operational traffic environment. The following […]

NSF WATCH Talk- Cryptocurrencies: the ideas behind the hype

July 12th, 2016 / in Announcements, NSF / by Helen Wright

The next WATCH talk, called Cryptocurrencies: the ideas behind the hype is Thursday, July 21st, from Noon-1pm EDT. The presenter will be Arvind Narayanan, an Assistant Professor of Computer Science at Princeton. He leads a research team investigating the security, anonymity, and stability of cryptocurrencies as well as novel applications of block chains. He co-created an online course and textbook on Bitcoin and cryptocurrency technologies. He also leads the Princeton Web Transparency and Accountability Project to uncover how companies collect and use our personal information. His doctoral research showed the fundamental limits of anonymization, for which he received the Privacy Enhancing Technologies Award. Abstract Cryptocurrencies such as Bitcoin and Ethereum have been polarizing. […]