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 ‘Uncertainty


Forecasting the East Coast Storm

January 26th, 2016 / in policy, research horizons, Research News / by Helen Wright

Well, that was a whopper! The Washington, DC area received its first blizzard in many years this past weekend. For a city that normally only receives 15.4 inches of snow spread out over an entire season, the two plus feet of snow has been overwhelming for the city. DC is not equipped to handle this amount of snow. But, we were warned. And, for the most part, the weather forecasters were right on target. All thanks to amazing computer models that predicted the storms path and total accumulation with stellar accuracy 8 days before the storm hit the region. This was highlighted by the Washington Post: This forecast success would […]

Great Innovative Idea- Known Unknowns: Testing in the Presence of Uncertainty

June 3rd, 2015 / in awards, research horizons, Research News / by Helen Wright

The following Great Innovative Idea is from Sebastian Elbaum, Professor of Computer Science and Engineering at the University of Nebraska-Lincoln and David S. Rosenblum, Dean of the School of Computing at the National University of Singapore. Their paper Known Unknowns: Testing in the Presence of Uncertainty won second place at the Computing Community Consortium (CCC) sponsored Blue Sky Ideas Conference Track series at the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE), November 16-22, 2014 in Hong Kong. The Innovative Idea Uncertainty is present in most systems we build today, whether introduced by human decisions, machine learning algorithms, external libraries, or sensing variability. This uncertainty leads to occasional misbehavior or incorrect output that is deemed to be acceptable. In the […]