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 […]

The Computing Community Consortium (CCC) recently sponsored a Blue Sky Ideas Conference Track at the 14th annual iConference, March 31- April 3, 2019 in Washington, DC. This special track for 2019 sought ideas and visions that stimulate the iSchool research community to pursue new directions. It was organized by Kevin Crowston from Syracuse University and John Leslie King from the University of Michigan. 1) Disrupting the Coming Robot Stampedes: Designing Resilient Information Ecologies Philip Gregory Feldman, University of Maryland, Baltimore County and ASRC Federal; Aaron Dant, ASRC Federal; Wayne Lutters, University of Maryland, Baltimore County 2) Troubled Worlds: Bringing Bodies and the Environment into  Computing Research, Practice, and Pedagogy Megan Finn, University of […]

The Computing Community Consortium (CCC) Industry Collaboration working group recently released the Evolving Academia/Industry Relations in Computing Research: Interim Report. This report outlines a number of emerging trends within computing research, most importantly the rising level of interaction between professors and industry. These trends have been shaped by access to industry resources such as cloud computing, AI, and big data. As those resources become more valuable, computing researchers in academia are leaving for or entering into joint appointments with industry in order to gain access to those key assets. From the Interim report: Modern industrial deep learning models, like the BERT language model recently published by Google[1], have hundreds of […]

The following preamble is from Computing Community Consortium (CCC) Chair Mark D. Hill from the University of Wisconsin Madison.  Over the last century, computer systems have been implemented with many technologies that evolve and are occasionally replaced by successors, e.g., discrete transistors with integrated circuits and ferrite core memory with DRAM. Heretofore, these technology transitions have been within—not between—the categories of computing, communication, memory, and storage. Below Steve Swanson reports on a new Intel technology that combines the categories of volatile memory and non-volatile storage in his recent ACM SIGARCH Blog. While we may just use “3DXPoint” conventionally–as separate memory or storage—it has the potential to merge memory and storage for systems […]

The following blog is reposted from the Delta 8.7 website. You can view the original post here. Contributions by:  James Cockayne  | Project Director – Delta 8.7 Nadya Bliss  | Director, the Global Security Initiative at Arizona State University Doreen Boyd  | Head of the Rights Lab’s Data Programme, University of Nottingham Hannah Darnton  | Programme Manager in Ethics, Technology and Human Rights, BSR Ann Drobnis  | Director, the Computing Community Consortium James Goulding  | Deputy Director of N-LAB, the University of Nottingham Daniel Lopresti  | Professor and Chair of the Department of Computer Science and Engineering, Lehigh University Anjali Mazumder  | Rutherford Fellow, the Alan Turing Institute of Data Science and Artificial Intelligence Zoe Trodd  | Director of the Rights Lab, the University of Nottingham   Code 8.7: How […]

The National Science Foundation (NSF) has named materials scientist Jennifer Dionne and computer scientist Mark Braverman the recipients of this year’s Alan T. Waterman Award. The Waterman Award annually recognizes an outstanding young researcher in any field of science or engineering supported by NSF. Researchers 40 years of age or younger, or up to 10 years post Ph.D., are eligible. This year, two outstanding researchers are recognized. Mark Braverman is a Professor of Computer Science from Princeton University. He studies complexity theory, algorithms and the limits of what’s possible computationally. Braverman’s research focuses on complexity, including looking at algorithms for optimization, which, when applied, might mean planning a route — how […]