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.


Posts Tagged ‘Great Innovative Idea

 

Great Innovative Idea- Progressing Intention Progression: A Call for a Goal-Plan Tree Contest

June 1st, 2017 / in Announcements, CCC, Great Innovative Idea / by Helen Wright

The following Great Innovative Idea is from Brian Logan (University of Nottingham), John Thangarajah (RMIT University), and Neil Yorke-Smith (American University of Beirut). Their paper called Progressing Intention Progression: A Call for a Goal-Plan Tree Contest was the Blue Sky Ideas Conference Track winner at the Sixteenth International Conference on Autonomous Agents and MutliAgent Systems (AAMAS), May 8-12, 2017 in Sao Paulo, Brazil. The Idea A key problem for an agent with multiple, possibly inconsistent, goals is: “what should I do next”? What to do next can be formalized as the intention progression problem (IPP): what means (i.e., plan) to use to achieve a given goal, and which of the currently adopted plans (i.e., intentions) to progress at the current […]

Great Innovative Idea- Spreading Awareness about HIV Among Homeless Youth Using Artificial Intelligence

May 25th, 2017 / in Announcements, CCC, Great Innovative Idea / by Helen Wright

The following Great Innovative Idea is from Amulya Yadav, a fourth-year Ph.D. candidate in the Computer Science Department at the University of Southern California (USC). Yadav was a co-organizer of the Computing Community Consortium (CCC) AAAI Symposium on AI for Social Good on March 27-29, 2017. The Idea HIV-AIDS kills 2 million people worldwide every year. In USA alone, AIDS kills around 10,000 people per annum. This dangerous disease has an extremely high incidence among homeless youth, as they are more likely to engage in high HIV-risk behaviors (e.g., unprotected sexual activity, injection drug use) than other sub-populations. In fact, previous studies show that homeless youth are at 10X greater risk […]

Great Innovative Idea- Report Now, Report Often: Overcoming the Challenges within Cybercrime Reporting

April 4th, 2017 / in CCC, Great Innovative Idea / by Helen Wright

The following Great Innovative Idea is from Morvareed Bidgoli, a Ph.D. candidate in the College of Information Sciences and Technology at the Pennsylvania State University. Bidgoli presented her work at the Computing Community Consortium (CCC) workshop on Sociotechnical Cybersecurity Workshop 1 on December 12-13, 2016. The Idea When a crime occurs, a crucial next step that is taken is the reporting of the crime to law enforcement; however, this action becomes particularly difficult when a cybercrime occurs for a number of reasons (e.g., lack of awareness that a cybercrime occurred). After conducting an exploratory study on understanding how cybercrimes affect undergraduate students, I discovered that despite the fact that undergraduate students expressed […]

Great Innovative Idea- Scaling Maps To Zettabytes and Beyond

March 9th, 2017 / in Announcements, CCC, Great Innovative Idea / by Helen Wright

The following Great Innovative Idea is from Mohamed Sarwat, Assistant Professor in Computer Science and Engineering at Arizona State University. Sarwat presented his poster, GeoExpo-Interactive and Scalable Exploration of Big GeoSpatial Data, at the CCC Symposium on Computing Research, May 9-10, 2016. The Idea GIS software packages are useful tools to make sense of spatial data. Such data includes but is not limited to: weather maps, vegetation indices, and geological maps. In addition, technology allows hundreds of millions of users to frequently use their GPS-enabled devices to access their healthcare information and bank accounts, interact with friends, buy items online, search interesting places to visit on-the-go, ask for driving directions, and […]

Great Innovative Idea- Flexible Road Trains in Autonomous Public Transportation

February 2nd, 2017 / in CCC, Great Innovative Idea / by Helen Wright

The following Great Innovative Idea is from Stephan Winter from the University of Melbourne. Winter along with his coauthors Niels Agatz from Erasmus University Rotterdam, Ana Bazzan from Universidade Federal do Rio Grande do Sul, Ronny Kutadinata from the University of Melbourne, Dirk Christian Mattfeld from University of Braunschweig, Monika Sester from Leibniz University Hannover, and Ouri Wolfson from University of Illinois at Chicago were among the winners at the Computing Community Consortium (CCC) sponsored Blue Sky Ideas Track Competition at the ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2016 (SIGSPATIAL 2016) in San Francisco, CA. Their winning paper is called Autonomous Public Transportation: Flexible Road Trains. The Innovative Idea The team was fascinated by a […]

Great Innovative Idea- BigGIS: A Continuous Refinement Approach to Master Heterogeneity and Uncertainty in Spatio-Temporal Big Data

January 4th, 2017 / in CCC, Great Innovative Idea / by Helen Wright

The following Great Innovative Idea is from Patrick Wiener from Karlsruhe University of Applied Sciences. Wiener along with his coauthors Manuel Stein and Daniel Seebacher from University of Konstanz, Julian Bruns, Matthias T. Frank, Viliam Simko, and Stefan Zander from FZI Research Center for Information Technology, and Jens Nimis from Karlsruhe University of Applied Sciences were among the winners at the Computing Community Consortium (CCC) sponsored Blue Sky Ideas Track Competition at the ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2016 (SIGSPATIAL 2016) in San Francisco, CA. Their winning paper is called BigGIS: A Continuous Refinement Approach to Master Heterogeneity and Uncertainty in Spatio-Temporal Big Data.   The Innovative Idea Geographic information systems (GIS) are important for […]