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 ‘GII

 

Great Innovative Idea: Geofences in the Sky: Herding Drones with Blockchains and 5G

January 31st, 2019 / in Great Innovative Idea, research horizons, Research News / by Helen Wright

The following Great Innovative Idea is from Tamraparni Dasu, Yaron Kanza, and Divesh Srivastava of AT&T Labs-Research. They were one of the Blue Sky Award winners at ACM SIGSPATIAL ’18 for their paper Geofences in the Sky: Herding Drones with Blockchains and 5G. The Idea Unmanned aerial vehicles (UAVs), typically also referred to as drones, are gaining popularity and becoming ubiquitous. As the number of drones in the sky rapidly grows, managing the expected high-volume air traffic is becoming a critical challenge. It is essential to prevent collisions, and to protect the public from nuisances like noise or invasion of privacy, and shield from hazards like falling debris. Currently, in many countries drones are required to be within line of sight […]

Great Innovative Idea: Building up Speaking Skills in an online learning community

December 10th, 2018 / in Announcements, Great Innovative Idea, policy, research horizons, Research News / by Helen Wright

The following Great Innovative Idea is from Ehsan Hoque, Asaro-Biggar (’92) Family assistant professor of Computer Science and interim Director of the Goergen Institute for Data Science at the University of Rochester. Hoque was a participant and presented a poster at the Computing Community Consortium (CCC) Early Career Researcher Symposium, August 1-2, 2018. The Idea Imagine a future where computers can mediate a conversation toward more respectfulness and productivity, help a worker hone their job interview skills or assist a patient diagnosed with Parkinson’s Disease by monitoring their symptoms. Our research focuses on developing AI to ethically augment and enhance humanity’s potential. In particular, my group applies machine learning techniques to model the synergy and ambiguity that language, facial […]

Great Innovative Idea: Physician-Friendly Machine Learning Algorithms for Medical Diagnosis

November 14th, 2018 / in Announcements, Great Innovative Idea, Research News / by Helen Wright

The following Great Innovative Idea is from Hien Nguyen, Assistant Professor of Electrical & Computer Engineering at the University of Houston. Hien was a participant and presented his poster at the Computing Community Consortium (CCC) Early Career Researcher Symposium, August 1-2, 2018. The Idea Machine learning and artificial intelligence have a great potential to revolutionize medical diagnosis. However, most of existing computer-aided diagnosis (CAD) systems focused on improving the stand-alone performance without considering the interaction with physicians. Therefore, while many studies reported a high level of diagnostic accuracy using CAD systems, there is research showing that the overall performance of doctor-CAD team is lower than that of doctors or the CAD systems in isolation. To address this […]

Great Innovative Idea: How Much is a Triple?

October 31st, 2018 / in CCC, Great Innovative Idea / by Helen Wright

The following Great Innovative Idea is from Prof. Dr. Heiko Paulheim, Chair for Data Science and Program Director of Mannheim Master in Data Science at the University of Mannheim. Paulheim was one of the CCC Blue Sky winners at the International Semantic Web Conference (ISWC) in October 2018 for his paper called, How Much is a Triple? The Idea Knowledge graphs, i.e., structured collections of knowledge in the form of a graph, are currently widely created and used, both commercially by major Internet companies such as Google and Facebook, as well as open source by researchers, such as DBpedia or Wikidata. While there is a larger body of work on how to create and refine those knowledge graphs, as well […]

Great Innovative Idea: A Task-Centric Framework to Revolutionize Big Data Systems Research

September 11th, 2018 / in Announcements, CCC, Great Innovative Idea / by Helen Wright

The following Great Innovative Idea is from Da Yan, tenure-track assistant professor in the Department of Computer Sciences at the University of Alabama at Birmingham (UAB). Yan presented his poster, A Task-Centric Framework to Revolutionize Big Data Systems Research, at the Computing Community Consortium (CCC) Early Career Researcher Symposium, August 1-2, 2018. The Idea Big Data frameworks such as Apache Hadoop and Apache Spark are becoming increasingly popular due to their emphasis on ease of programming, but they are dominantly designed for data-intensive iterative computations, and there lacks an efficient solution to compute-intensive Big Data analytics. Based on my insight that compute-intensive problems are often solved by divide and conquer (e.g., a recursive algorithm), a general task-centric framework, […]

Great Innovative Idea: A Villain’s Guide To Social Media And Web Science

August 21st, 2018 / in CCC, research horizons, Research News / by Helen Wright

The following Great Innovative Idea is from Mark Bernstein, the chief scientist at Eastgate Systems, Inc and Clare Hooper, an Independent Scholar in Vancouver, BC, Canada. Mark and Clare were winners at the recent Computing Community Consortium (CCC) sponsored Blue Sky Ideas Conference Track at the 29TH ACM Conference on Hypertext and Social Media, July 9-12, 2018 in Baltimore, MD. Their paper is called “A Villain’s Guide To Social Media And Web Science.” The Idea The great power and profitability of social media may not benefit the good and the bad alike; increasing evidence indicates that recent advances in data mining, social media, and web science all asymmetrically benefit the cruel, the dishonest, and the tyrant. Daily headlines reflect the appropriation and misuse of […]