The Computing Community Consortium (CCC) recently sponsored a Blue Sky Ideas Conference Track at the 20th International Conference on Autonomous Agents and Multiagent Systems, May 3-7th, 2021, online.  The emphasis of this special track was on visionary ideas, long-term challenges, new research opportunities, and controversial debate. It served as an incubator for innovative, risky, and provocative ideas, and aimed to provide a forum for publishing and presenting these without being constrained by result-oriented standards. Best Paper Award: Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems Yaodong Yang, University College London Jun Luo, Huawei Canada Ying Wen, Shanghai Jiao Tong University Oliver Slumbers, University College London Daniel Graves, Huawei Canada Haitham Bou Ammar, Huawei R&D […]

The Computing Research Association (CRA), in consultation with the National Science Foundation (NSF), has appointed five new members to the Computing Community Consortium (CCC) Council:  Sven Koenig, University of Southern California  Chandra Krintz, University of California, Santa Barbara  William Regli, University of Maryland Mona Singh, Princeton University  Ufuk Topcu, University of Texas at Austin Beginning July 1, the new members will each serve three-year terms. The CCC Council is comprised of 20 members who have expertise in diverse areas of computing. They are instrumental in leading CCC’s visioning programs, which help catalyze and enable ideas for future computing research. Members serve staggered three-year terms that rotate every July. The CCC […]

Biresh Kumar Joardar began his CIFellowship in September 2020 after receiving his PhD from Washington State University in Summer of 2020. Joardar is at Duke University working with Krishnendu Chakrabarty, Distinguished Professor and Chair in the Department of Electrical and Computer Engineering.  Current Project The theme of my current project is “Machine Learning for Machine Learning”. The project aims to demonstrate the symbiotic relationship between machine learning (ML) algorithms and computer system design. In this new paradigm, hardware researchers benefit from new data-driven ML algorithms and ML researchers benefit from efficient computing enabled by new hardware-software co-design. More specifically, I work on designing heterogeneous manycore and in-memory computing architectures with […]

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 […]

The CIFellows 2021 application site is now open. Applicants may start their applications here. Please read the CIFellows 2021 website and FAQs in its entirety before submitting. Applicants must submit the following for registration by midnight May 10th 2021 AoE (Anywhere on Earth): Title – title of proposed research project. If you are applying twice with the same project, please use the same title but follow it with A on the first application and B on the second. Application information – items will include diversity information; the PhD (university, advisor, date of defense); current professional information (university, current position, advisor); and CIFellowship information (Mentor name and email address, host institution, […]

The 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 […]