Contributions to this post were provided by Elizabeth Bradley (University of Colorado Boulder), Madhav Marathe (University of Virginia), Melanie Moses (The University of New Mexico), William D. Gropp (University of Illinois Urbana-Champaign), and Daniel Lopresti (Lehigh University). We are pleased to announce the second addendum to the Computing Research Association (CRA) and Computing Community Consortium (CCC) Pandemic Informatics: Preparation, Robustness, and Resilience quadrennial paper on variants of concern (VOC). A year ago, few experts correctly predicted the toll the pandemic has now taken, nor the extraordinarily rapid development and administration of effective vaccines. Scientists have dramatically increased understanding of the SARS-CoV-2 virus, treatment, and vaccines. Yet, where the pandemic will […]
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-led white papers’ category
Pandemic Informatics: Variants of Concern (VOC)
April 22nd, 2021 / in Announcements, CCC, CCC-led white papers, COVID, Quad Paper, research horizons, Research News / by Helen WrightNational Discovery Cloud
April 14th, 2021 / in AI, Announcements, CCC, CCC-led white papers, pipeline, policy, robotics, Security / by Helen WrightThe Computing Community Consortium (CCC) is pleased to announce the release of a new white paper, A National Discovery Cloud: Preparing the US for Global Competitiveness in the New Era of 21st Century Digital Transformation, led by Ian Foster with significant support from Daniel Lopresti, Bill Gropp, Mark D. Hill, and Katie Schuman. The three “pillars,” as the paper calls them, of this new computation fabric include the “emergence of public cloud utilities as a new computing platform; the ability to extract information from enormous quantities of data via machine learning; and the emergence of computational simulation as a research method on par with experimental science.” In order for the […]
CCC Quadrennial Papers: Artificial Intelligence
November 19th, 2020 / in AI, CCC, CCC-led white papers, CRA, Quad Paper, research horizons, Research News / by Maddy HunterAs 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 […]
Researchers unveil massive analysis of online hate & counter-speech
November 16th, 2020 / in Announcements, CCC, CCC-led white papers, Quad Paper / by Helen WrightThe following was adapted from this Santa Fe blog post. At a recent presentation at the Science Writers 2020 conference, Joshua Garland and Mirta Galesic of the Santa Fe Institute presented the first large-scale analysis of tens of millions of instances of hate and counter-hate speech on Twitter. Their findings suggest that organized movements to counteract hate speech on social media are more effective than striking out on one’s own. “I’ve seen this big shift in civil discourse in the last two or three years towards being much more hateful and much more polarized,” says Garland, a mathematician and Applied Complexity Fellow at SFI. “So, for me, an interesting question […]
CCC Quadrennial Papers: Socio-Technical Computing
November 12th, 2020 / in CCC, CCC-led white papers, CRA, Quad Paper, research horizons, Research News / by Maddy HunterAs part of the rollout of the 2020 Computing Research Associations (CRA) Quadrennial Papers, the Computing Community Consortium (CCC) is pleased to publish the third group of papers around the “Socio-Technical Computing” theme. 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. As part of CCC’s contribution, in addition to the previous themes of Broad Computer Science and Core Computer Science from previous weeks, one more set of Quadrennial Papers will be released next week organized around the theme of Artificial Intelligence. The intersection of computing technologies and society is the […]
Pandemic Research for Preparedness & Resilience (PREPARE)
November 11th, 2020 / in Announcements, CCC, CCC-led white papers, COVID, Healthcare, policy, Quad Paper, research horizons, Research News, resources / by Helen WrightRecently, the Computing Research Association’s Computing Community Consortium (CCC) released a white paper called Pandemic Informatics: Preparation, Robustness, and Resilience, by Elizabeth Bradley (University of Colorado Boulder), Madhav Marathe (University of Virginia), Melanie Moses (The University of New Mexico), William D Gropp (University of Illinois Urbana-Champaign), and Daniel Lopresti (Lehigh University). It is part of the series of white papers called Quadrennial Papers that explore areas and issues around computing research with potential to address national priorities. The Pandemic Informatics paper outlines an effective strategy to reduce the national and global burden of pandemics. It includes (i) detect timing and location of occurrence, taking into account the many interdependent driving […]