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

 

Daniel Larremore Recognized as one of the Three Scientists Receiving the 2022 Alan T. Waterman Award

April 22nd, 2022 / in Announcements, awards, Great Innovative Idea, research horizons, Research News / by Maddy Hunter

The National Science Foundation just named the winners of the Alan T. Waterman Award. The annual award recognizes an outstanding young researcher in any field of science or engineering supported by the National Science Foundation. This was the first year that three scientists were recognized. The nation’s highest honor for early career researchers went to Daniel B. Larremore (Assistant Professor in the Department of Computer Science at University of Colorado Boulder), Lara A. Thompson (Associate Professor for the Department of Mechanical Engineering at the University of the District of Columbia), and Jessica E. Tierney (Associate Professor of Geosciences and Global Change and the University of Arizona).  The fifth Computer Scientist […]

Great Innovative Idea – Smartmedia: Adapting Streamed Content to Fit Location and Context

March 3rd, 2021 / in Announcements, Blue Sky, CCC, Great Innovative Idea, Research News / by Maddy Hunter

The following Great Innovative Idea is from Yaron Kanza (AT&T Labs-Research), David Gibbon (AT&T Labs-Research), Divesh Srivastava (AT&T Labs-Research), Valerie Yip (AT&T Labs-Research), and Eric Zavesky (AT&T Labs-Research). The team’s paper, Smartmedia: Locally & Contextually-Adapted Streaming Media, won first-place in the Computing Community Consortium (CCC) sponsored Blue Sky Ideas Track Competition at the 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.  The Idea Streaming media is gaining popularity, with numerous new services for video on demand and live broadcast. Often, streaming media is consumed on mobile devices, like smartphones and tablets, in different locations and contexts. In the novel approach we present, named Smartmedia, the streamed content […]

Great Innovative Idea: Using Computer Modeling to Effectively Prioritize and Distribute the COVID-19 Vaccine

February 22nd, 2021 / in Announcements, CCC, Great Innovative Idea, Research News / by Maddy Hunter

The following Great Innovative Idea is from Daniel Larremore, Assistant Professor at University of Colorado Boulder Computer Science Department and the BioFrontier Institute, where he leads Larremore Lab. In addition, he holds affiliations with the Department of Applied Mathematics and with the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health. His recent work with COVID-19 has captured the attention of large media sources such as Medscape, the Washington Examiner and the New York Times. The Idea How does the progression of a typical SARS-CoV-2 infection affect the way we should think about COVID-19 policies, like testing and vaccine prioritization? When doing mathematical and computational […]

Using Human Cognitive Limitations to Enable New Systems

November 24th, 2020 / in Announcements, Blue Sky, CCC, Great Innovative Idea / by Helen Wright

The following Great Innovative Idea is from Vincent Conitzer, Kimberly J. Jenkins University Distinguished Professor of New Technologies Professor of Computer Science, Professor of Economics, and Professor of Philosophy at Duke University. Conitzer was one of the winners from the Computing Community Consortium (CCC) sponsored Blue Sky Ideas Track Competition at AAAI HCOMP 2020. His winning paper is called Using Human Cognitive Limitations to Enable New Systems. Motivation My original interest in this line of thinking came from problems associated with a single person being able to create multiple accounts.  This can allow them to vote on the same content multiple times, making online votes meaningless; indefinitely take advantage of a free trial period, resulting in free trial periods of the […]

Great Innovative Idea: Back to the Future for Dialogue Research

June 2nd, 2020 / in Announcements, CCC, Great Innovative Idea / by Helen Wright

The following Great Innovative Idea is from Philip Cohen, Professor (adj) of Data Science and Artificial Intelligence at Monash University (Melbourne, Australia) and President of Multimodal Interfaces, LLC. Cohen was one of the winners from the Computing Community Consortium (CCC) sponsored Blue Sky Ideas Track Competition at the AAAI-20. His winning paper is called Back to the Future for Dialogue Research. Problem Current so-called “conversational assistants”  provide minimal assistance and therefore are of limited utility.  If they are successful in engaging in a dialogue, current systems typically will only perform the transactions that have explicitly been requested of them. But in our everyday human interactions, we expect people not only to infer what we literally say that we want, but […]

Great Innovative Idea: Towards Geocoding Spatial Expressions

February 19th, 2020 / in Announcements, Great Innovative Idea / by Helen Wright

The following Great Innovative Idea is from Hussein S. Al-Olimat from The Ohio Center of Excellence in Knowledge-Enabled Computing (Kno.e.sis) at the Wright State University. Dr. Al-Olimat along with his coauthors Valerie L. Shalin, Krishnaprasad Thirunarayan, and Joy Prakash Sain 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 2019 (SIGSPATIAL 2019) in Chicago, IL. Their winning paper is called Towards Geocoding Spatial Expressions. The Idea The web and social media contain a vast amount of unstructured text with spatial referents. Meaningfully interpreting these referents by geocoding and localizing them is critical to support a wide-range of spatially-aware computing systems, […]