Archive

Great Innovative Ideas

Great Innovative Ideas are a way to showcase the exciting new research and ideas generated by the computing community.

Great Innovative Idea: Robot Language Learning

The following Great Innovative Idea is from Yonatan Bisk, Assistant Professor in the School of Computer Science and member of the Language Technologies Institute at Carnegie Mellon University. The Idea Language learning requires physically existing in the world (not being just a brain in a jar). A child doesn’t learn language from reading Wikipedia.  They build rich models of the world […]

Computing for Computational Biology and Digital AI

The following Great Innovative Idea is from Somali Chaterji, Assistant Professor in the Department of Agricultural and Biological Engineering at Purdue University where she leads the Innovatory for Cells and Neural Machines. The Idea The idea behind my work is that there is strength in numbers — a distributed computing system that needs to run […]

Smartmedia: Adapting Streamed Content to Fit Location and Context

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 […]

Using Computer Modeling to Effectively Prioritize and Distribute the COVID-19 Vaccine

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 […]

Using Human Cognitive Limitations to Enable New Systems

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 […]

Back to the Future for Dialogue Research

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 […]

Towards Geocoding Spatial Expressions

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 […]

Revolutionizing Tree Management via Innovative Spatial Techniques

The following great innovative idea is from Yiqun Xie, who is a Ph.D. candidate at the University of Minnesota.  Xie along with his advisor and former Computing Community Consortium (CCC) Council member McKnight Distinguished Professor Shashi Shekhar, Professor Richard Feiock of Florida State University and Professor Joseph Knight from the Department of Forestry Resources at the University of […]

Datasets First! A Bottom-up Data Linking Paradigm

The following great innovative idea is from Konstantin Todorov from the University of Montpellier and a researcher at the LIRMM laboratory within the FADO group. Todorov was one of the Blue Sky Awards at ISWC 2019 for his paper called Datasets First! A Bottom-up Data Linking Paradigm.  The Idea Data linking is understood as the task of […]

Co-LOD: Continuous Space Linked Open Data

The following great innovative idea is from Mayank Kejriwal and Pedro Szekely from the University of Southern California. Kejriwal and Szekely were one of the Blue Sky Award winners at ISWC 2019 for their paper called Co-LOD: Continuous Space Linked Open Data. The Idea The Web has always been thought of as a collection of discrete […]