In 2009, the Computing Community Consortium (CCC) published A Roadmap for US Robotics, From Internet to Robotics (a.k.a. the Robotics Roadmap), which explored the capacity of robotics to act as a key economic enabler, specifically in the areas of manufacturing, healthcare, and the service industry, 5, 10, and 15 years into the future. An updated version of the Robotics Roadmap was released in March 2013, November 2016, and now most recently in September 2020.  With the support of the CCC (and others on the cover), three community workshops took place 11-12 September 2019 in Chicago, IL, 17-18 October 2019 in Los Angeles, CA, and 15-16 November 2019 in Lowell, MA. […]

The Computing Community Consortium (CCC) is pleased to announce the release of the Computational Support for Substance Use Disorder Prevention, Detection, Treatment, and Recovery Workshop Report!   Chaired by Lana Yarosh from the University of Minnesota, the Computational Support for Substance Use Disorder Prevention, Detection, Treatment, and Recovery November 2019 workshop brought together an interdisciplinary group of leading researchers and practitioners to identify opportunities and challenges for enabling innovative computational support for prevention, detection, treatment, and long-term recovery from SUDs. The steering committee members were Suzanne Bakken (Columbia University), Alan Borning (University of Washington), Munmun De Choudhury (Georgia Institute of Technology), Cliff Lampe (University of Michigan), Elizabeth Mynatt (Georgia Tech), Stephen […]

The Computing Community Consortium (CCC) recently released the Wide-Area Data Analytics workshop report. The workshop was organized by Rachit Agarwal (Cornell University) and CCC Council Member Jen Rexford (Princeton University) to identify challenges and opportunities in data analytics and related research given that modern datasets are often distributed across many locations. In some cases, datasets are naturally distributed because they are collected from multiple locations, such as sensors spread throughout a geographic region. In other cases, datasets are distributed across different data centers to improve scalability or reliability, or to reduce cost; these distributed locations could be a mix of public clouds, private data centers, and edge computing sites.  “The […]

The following is a guest blog from CCC Member Tom Conte of Georgia Tech. A recent article in SCIENCE, authored by Charles E. Leiserson, Neil Thompson, Joel Emer, Bradley Kuszmaul, Butler Lampson, Daniel Sanchez and Tao Schardl,  entitled “There’s plenty of room at the Top: What will drive computer performance after Moore’s law?” discusses the way forward after the end of technology scaling.  (The title is a play on Richard Feynman’s 1959 address to the American Physical Society, “There’s Plenty of Room at the Bottom,” wherein Feynman observed that miniaturization would lead to what we now call Moore’s Law.)  So, what comes after Moore’s Law?  The article discusses improvements in […]

The Computing Community Consortium (CCC) recently released the Leadership in Embedded Security workshop report. The workshop was organized by former CCC Council Member Kevin Fu (University of Michigan), Wayne Burleson (UMass Amherst), and Farinaz Koushanfar (UC, San Diego). It brought together around fifty academics, industrial researchers, and government agency program managers who work close to the topic of embedded security. The workshop included deep dive group discussions as well as short visionary talks by several international speakers to lend perspectives on successful strategies for funding embedded security research overseas. The report, titled Grand Challenges for Embedded Security Research in a Connected World, focuses on the challenges and potential research opportunities across five […]

Contributions to this post were provided by Alexandra Chouldechova (Carnegie Mellon University), Sampath Kannan (University of Pennsylvania), and Aaron Roth (University of Pennsylvania).  The Computing Community Consortium held a workshop on Fair Representations and Fair Interactive Learning in 2018, which was led by Aaron Roth from University of Pennsylvania and Alexandra Chouldechova from Carnegie Mellon University. A group of 50 industry, academic, and government experts convened in Philadelphia to explore the roots of algorithmic bias. The workshop report has been highlighted on the front page of the May 2020 CACM Issue, which includes a snapshot of the report that interviewed both Roth and Chouldechova. We tend to believe that algorithmic […]