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 November, 2018

 

NAS Quantum Computing: Progress and Prospects — Report Release Webinar

November 29th, 2018 / in Announcements, CCC / by Helen Wright

What are the risks and benefits of quantum computing? What technical challenges does the field face? The National Academies’ Computer Science and Telecommunications Board in collaboration with the Intelligence Community Studies Board will release an upcoming report called Quantum Computing: Progress and Prospects, which assesses the current progress and possible future pathways towards developing a general-purpose quantum computer as well as its potential implications. They invite you to join them for a report release webinar on December 4, 2018 at 1:00pm EST where study committee chair Mark Horowitz and committee members Bob Blakley and John Martinis will discuss the key findings of the report and take questions from the audience. Please join the webinar […]

Blue Sky Ideas Conference Track held at ACM SIGSPATIAL 2018

November 27th, 2018 / in Announcements, Blue Sky, CCC / by Helen Wright

The Computing Community Consortium (CCC) recently sponsored a Blue Sky Ideas Conference Track at the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, November 6- November 9, 2018 in Seattle, WA. The purpose was to bring together researchers, developers, users, and practitioners in relation to novel systems based on geo-spatial data and knowledge, and fostering interdisciplinary discussions and research in all aspects of geographic information systems. The goal of this track was to present visionary ideas at the conference. First Place- Understanding the Human Brain Via its Spatio-temporal Properties Ouri Wolfson (University of Illinois at Chicago) Second Place- Geofences in the Sky: Herding Drones with Blockchains and 5G Tamraparni Dasu (AT&T Labs-Research), Yaron […]

NSF DCL- Fairness, Ethics, Accountability, and Transparency: Enabling Breakthrough Research to Expand Inclusivity in Computer and Information Science and Engineering Research

November 26th, 2018 / in Announcements, NSF, policy, research horizons, Research News / by Helen Wright

The following is a letter to the community from James Kurose, Assistant Director of the National Science Foundation (NSF) Directorate of Computer & Information Science & Engineering (CISE).   Dear Colleagues: The National Science Foundation’s (NSF) Directorate for Computer and Information Science and Engineering (CISE) is committed to maximizing the positive consequences of the research that it funds through inclusive research approaches. Indeed, a key component of CISE’s mission is to contribute to universal, transparent, and affordable participation in an information-based society. Some research practices and methods may carry biases and inequities that can in turn have significant impacts on the scientific community and broader society. The increased reliance on computing and information technologies may further […]

NSF DCL- EArly-concept Grants for Exploratory Research on Artificial Intelligence (AI) and Society – Supported Jointly with the Partnership on AI

November 16th, 2018 / in Announcements, NSF, policy, research horizons, Research News / by Helen Wright

The following is a Dear Colleague Letter (DCL) from James Kurose, Assistant Director for Directorate of Computer & Information Science & Engineering (CISE), and Arthur Lupia, Assistant Director for Directorate for Social, Behavioral, and Economic Sciences (SBE), of the National Science Foundation (NSF). The goal of this DCL, which specifically mentions the Computing Community Consortium (CCC) AI Roadmap, is to encourage the submission of EAGERs on understanding the social challenges arising from AI technology and enable scientific contribute to overcoming them.  Dear Colleagues: The National Science Foundation’s (NSF) Directorates for Computer and Information Science and Engineering (CISE) and Social, Behavioral and Economic Sciences (SBE) together with the Partnership on AI (PAI) wish to notify the community of their interest in […]

CCC Quantum Computing Workshop Report and NSF Quantum Solicitation

November 15th, 2018 / in Announcements, NSF, pipeline, research horizons / by Khari Douglas

The Computing Community Consortium (CCC) has recently released a workshop report from the May 2018 workshop Next Steps in Quantum Computing: Computer Science’s Role. The report highlights how computer scientists can contribute to advances in quantum computing and identifies key trends and research needs in five areas: algorithms, devices, architecture, programming models and toolchains, and verification. Some research needs identified in the report include: The need for new Quantum Computing algorithms that can make use of the limited qubit counts and precisions available in the foreseeable future. The need for research regarding how best to implement and optimize programming, mapping, and resource management for QC systems through the functionality in […]

Great Innovative Idea: Physician-Friendly Machine Learning Algorithms for Medical Diagnosis

November 14th, 2018 / in Announcements, Great Innovative Idea, Research News / by Helen Wright

The following Great Innovative Idea is from Hien Nguyen, Assistant Professor of Electrical & Computer Engineering at the University of Houston. Hien was a participant and presented his poster at the Computing Community Consortium (CCC) Early Career Researcher Symposium, August 1-2, 2018. The Idea Machine learning and artificial intelligence have a great potential to revolutionize medical diagnosis. However, most of existing computer-aided diagnosis (CAD) systems focused on improving the stand-alone performance without considering the interaction with physicians. Therefore, while many studies reported a high level of diagnostic accuracy using CAD systems, there is research showing that the overall performance of doctor-CAD team is lower than that of doctors or the CAD systems in isolation. To address this […]