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

 

CCC Welcomes Helen Vasaly

May 12th, 2014 / in Announcements, CCC / by Shar Steed

Computing Research Association is pleased to announce the hire of Helen Vasaly as a Program Associate for the Computing Community Consortium. In her current role, Helen interacts with members of the research community and policy makers to organize meetings, workshops, and outreach activities. Previously, she was a Science Education Analyst at the National Science Foundation working on promoting excellence in undergraduate STEM education for the Education and Human Resources Directorate. Helen organized and participated in a number of outreach events and conferences for many programs including the Advanced Technological Education (ATE) Program,whose goal is to increase the education of technicians for the high-technology fields that drive our nation’s economy. She holds a bachelor’s of science in […]

Ubiquitous Computing (UbiComp) Research Lab: A Computing Research in Action Showcase

January 13th, 2014 / in CCC, research horizons, Research News, resources, videos / by Kenneth Hines

The Computing Community Consortium (CCC) is releasing its third segment in the Computing Research in Action Series.   This segment features the Ubiquitous Computing (UbiComp) research lab, led by Professor Shwetak Patel, at the University of Washington. The UbiComp lab, which consists of an interdisciplinary team of students (CS, EE, CE, ME), focuses on solving interesting and socially meaningful problems using a mix of hardware and software applications. The UbiComp lab focuses on four areas of ubiquitous computing: Novel interaction techniques: With the growing number of computers around us embedded into the environment, there is a need to interact with these computers beyond the traditional keyboard and mouse. Sustainability  sensing: Using computer science, machine learning and signal processing […]

CCC Sponsors Computational Sustainability Track at AAAI Conference on Artificial Intelligence (AAAI-13)

August 29th, 2013 / in awards, CCC / by Kenneth Hines

The following entry is a special contribution to this blog from Douglas H. Fisher, Associate Professor of Computer Science at Vanderbilt University. This year Doug and Carla Gomes (Cornell University) were co-chairs of the Computational Sustainability and Artificial Intelligence (AI) track at the Twenty-Seventh Conference on Artificial Intelligence on July 14-18, 2013 in Bellevue, Washington. In this entry, Doug highlights the best paper awards for this track, sponsored by the Computing Community Consortium. The Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13) convened last month in Bellevue, Washington. For the third consecutive year there was a special track on Computational Sustainability, a nascent and growing field of computing that is concerned […]

First Annual ACM Conference on Learning at Scale, Calling for Submissions

August 21st, 2013 / in CCC / by Kenneth Hines

The following is a special contribution to this blog from Douglas H. Fisher, Director of the Vanderbilt Institute for Digital Learning, and Associate Professor of Computer Science and Computer Engineering at Vanderbilt University and Armando Fox, Professor in Residence of Electrical Engineering and Computer Science at University of California, Berkeley. In February 2013, Doug and Armando co-chaired the Workshop on Multidisciplinary Research for Online Education (MROE). In this blog entry, they revisit that CCC-sponsored visioning activity, and also spotlight the upcoming ACM Conference on Learning at Scale, which is being co-organized by Armando. New venues for reporting scholarship on “learning at scale”, to include massive open online courses (MOOCs), are […]

Vehicle-to-Grid Technology and SmartGeo: A Computing Research in Action Showcase

August 14th, 2013 / in CCC / by Kenneth Hines

In the fall of 2012, the Computing Community Consortium launched its “Computing Research in Action” series in partnership with Patrick Sammon (Story Center Productions), Executive Producer of Codebreaker, the award-winning film about Alan Turing. We’ve received several submissions since last fall and have produced two segments in the series. The first segment features Vehicle-to-Grid (V2G) technology at the University of Delaware with Fouad Kiamilev (Professor of Electrical & Computer Engineering) and his team of researchers. With a fleet of MINI Coopers donated to the University by BMW, Fouad and his team of researchers demonstrate how V2G technology can facilitate power from a parked electric vehicle to send stored energy back to the grid into power markets. V2G […]

Challenges and Vision Track at Robotics: Science and Systems (RSS) 2013 Conference

July 16th, 2013 / in CCC, research horizons / by Kenneth Hines

The following entry is a special contribution to this blog from Hamidreza Chitsaz, Assistant Professor at Wayne State University. This year Hamidreza and Moslem Kazemi, Carnegie Mellon University organized a challenges and vision track at Robotics: Science and Systems (RSS 2013) on June 27th in Berlin, Germany.  The Computing Community Consortium (CCC) sponsored three challenges and vision best paper awards at Robotics: Science and Systems (RSS) 2013, a premiere conference on robotics. The conference was held in Berlin, Germany June 24-28, at the Technische Universität Berlin. The best challenges and vision paper awards promote visioning and revolutionary novel ideas in robotics, on principles and applications that address the most difficult […]