Contributions to this post were graciously provided by CCC Director Ann Schwartz Drobnis and CCC Chair Mark Hill. Computer science is cool, but you already knew that. You are in this field because you find it cool, exciting, and limitless in its discovery potential. What about the rest of this country? What do they think of computer science? How do we, as proud stewards of this research area, get them equally excited about the potential of this field? I know. We (collective “we” meaning computing researchers) helped obtain the first image of a black hole, that is beyond cool—it’s really, really cold at 10-14 Kelvin or about −459.67 °F. Earlier […]
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 ‘women’
A Picture of A Black Hole Shows How Cool Computer Science Is
April 30th, 2019 / in Announcements, research horizons, Research News / by Helen WrightRobohub’s 25 Women in Robotics You Need to Know About
November 9th, 2015 / in Announcements, Research News / by Khari DouglasRobohub has recently published its list of 25 Women in Robotics You Need to Know About to highlight women who are making great contributions to modern robotics. Some highlights from the list include: Nancy Amato, a professor at Texas A&M and on the CRA’s Board of Directors. Amato is noted for her research on the algorithmic foundations of motion planning, computational biology, computational geometry and parallel computing, as well as her leadership in broadening participation in the industry. Her 1998 paper on probabilistic roadmap methods is one of the most important papers on this field. Fei-Fei Li, an associate professor at Stanford University and Director of Stanford Artificial Intelligence Lab […]