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.


Archive for the ‘CCC’ category

 

Congratulations to Newly Elevated IEEE Fellows

December 2nd, 2020 / in Announcements, CCC, CRA / by Helen Wright

IEEE recently named its 2021 class of newly elevated Fellows. IEEE Fellow is a distinction reserved for select IEEE members whose extraordinary accomplishments in any of the IEEE fields of interest are deemed fitting of this prestigious grade elevation. One of the newly elevated Fellows is Yolanda Gil (University of Southern California) “for contributions to geoscience and scientific discovery with intelligent workflow systems.” In 2018-2019, the Computing Community Consortium (CCC) brought together over 100 members of the research community, led by Gil and Bart Selman (Cornell University and President of AAAI) to come up with a research roadmap for AI. The completed Artificial Intelligence (AI) Roadmap, A 20-Year Community Roadmap for AI Research in the US, was released in […]

2020 AAAS Fellows Announced

December 1st, 2020 / in AAAS, Announcements, CCC, research horizons, Research News / by Helen Wright

The American Association for the Advancement of Science (AAAS) just announced its 2020 Fellows! The honor recognizes diverse accomplishments, including pioneering research, leadership within a given field, teaching and mentoring, fostering collaborations and advancing public understanding of science.  Among the 2020 Fellows is Yolanda Gil from the University of Southern California. Gil, along with Bart Selman (Cornell University), chaired a year long effort by the Computing Community Consortium (CCC) to produce a roadmap for Artificial Intelligence (AI). Over 100 members of the research community participated in three workshops. One of those workshops was chaired by another new fellow, Daniel S. Weld (University of Washington). The completed AI Roadmap, titled A […]

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 […]

CCC Executive Council Member Nadya Bliss on How to Build Resiliency to Disinformation

November 23rd, 2020 / in Announcements, CCC, COVID, Research News, Security / by Helen Wright

Nadya Bliss, Computing Community Consortium (CCC) Executive Council member and Executive Director of the Global Security Initiative (GSI), was recently interviewed by her local CBS affiliate station on tracking how misinformation and disinformation spreads on social media and why, in recent years, it is spreading more rapidly.  “Around events that are changing really rapidly, the information ecosystem is particularly sensitive to all kinds of noise. Whether it’s misinformation without intent or disinformation with intent,” Bliss said. “It’s very difficult for an individual to be able to parse everything and we’re very susceptible. We’re in this moment where we are consistently checking, which makes us more vulnerable. False information tends to spread […]

CCC Quadrennial Papers: Artificial Intelligence

November 19th, 2020 / in AI, CCC, CCC-led white papers, CRA, Quad Paper, research horizons, Research News / by Maddy Hunter

As part of the rollout of the 2020 Computing Research Associations (CRA) Quadrennial Papers, the Computing Community Consortium (CCC) is pleased to publish the final group of papers around the “Artificial Intelligence (AI)” theme, including papers on AI being deployed at the edge of the network, cooperation between AI and humans, new approaches to understanding AI’s impact on society, AI-driven simulators, and the next generation of AI. The Quadrennial Papers are intended to help inform the computing research community and those who craft science policy about opportunities in computing research to help address national priorities. This group of papers is the final installation of the CCC’s contribution, in addition to […]

NSTC Subcommittee Report: Pioneering The Future Advanced Computing Ecosystem

November 18th, 2020 / in Announcements, CCC, policy, research horizons, Research News / by Helen Wright

The National Science and Technology Council (NSTC) subcommittee on Future Advanced Computing Ecosystems just released a new report on Pioneering The Future Advanced Computing Ecosystem. It lays out a strategic plan that envisions a future in which an “advanced computing ecosystem provides the foundation for continuing American leadership in science and engineering, economic competitiveness, and national security.” The plan outlines the following strategic objectives:  Utilize the future advanced computing ecosystem as a strategic resource spanning government, academia, nonprofits, and industry.  Establish an innovative, trusted, verified, usable, and sustainable software and data ecosystem.  Support foundational, applied, and translational research and development to drive the future of advanced computing and its applications.  […]