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 ‘Privacy’ category

 

Catalyzing Computing Podcast, Episode 33 – Health Informatics with Katie Siek (Part 1)

April 19th, 2021 / in Healthcare, podcast, Privacy / by Khari Douglas

A new episode of the Computing Community Consortium‘s (CCC) official podcast, Catalyzing Computing, is now available. In this episode, Khari Douglas (CCC Senior Program Associate) interviews Dr. Katie Siek, a professor in Informatics and the Chair of Informatics at Indiana University – Bloomington. Dr. Siek is interested in integrating pervasive technologies in health and wellness environments to study how technology affects interventions. Her research interests include human computer interaction, ubiquitous computing, and health informatics. In this episode, Katie discusses health informatics, fitness trackers, data ownership, and aging in place. Listen to the episode here. Below is a transcription from part of the discussion about aging in place. It is lightly edited for […]

CCC Exec Council Member Nadya Bliss on Applying AI in the Fight Against Modern Slavery

February 24th, 2021 / in AI, Announcements, CCC, Privacy, research horizons, Research News, robotics, Security, workshop reports / by Helen Wright

Contributions to this post were provided by CCC Vice Chair Daniel Lopresti.  AI for Good Global Summit hosted a webinar on AI to Prevent Modern Slavery, Human Trafficking and Forced and Child Labour today and featured Computing Community Consortium (CCC) Executive Council Member Nadya Bliss (Executive Director of the Global Security Initiative at Arizona State University) as well as Alice Eckstein (Programme Manager, Modern Slavery Programme at United Nations University – Centre for Policy Research), Doreen Boyd (Professor of Earth Observation, Faculty of Social Sciences at University of Nottingham), James Goulding (Deputy Director N/LAB, Faculty of Social Sciences at University of Nottingham) and Anjali Mazumder (Thematic Lead on AI, Justice […]

Upcoming AI for Good Global Summit: AI to Prevent Modern Slavery, Human Trafficking and Forced and Child Labour

February 17th, 2021 / in AAAS, AI, Announcements, CCC, conference reports, conferences, Privacy, research horizons, Research News, resources, robotics / by Helen Wright

AI for Good Global Summit is hosting a webinar on AI to Prevent Modern Slavery, Human Trafficking and Forced and Child Labour on Wednesday, February 24th from 10AMb – 11:30AM EST. This panel will bring together Computing Community Consortium (CCC) Execuitve Council member Nadya Bliss (ASU) along with other members of the CCC/Code 8.7 visioning workshop on Applying AI in the Fight Against Modern Slavery including Alice Eckstein (UNU-CPR), James Goulding (University Of Nottingham), and Anjali Mazumder (The Alan Turing Institute). The goal of the webinar is to discuss promising research avenues within AI and Computational Science as well as some specific cases in which application of these technologies are supporting […]

CRA Releases ‘2020 Quadrennial Papers’ Focused on Illuminating Computing Research Challenges and Opportunities for the Next Four Years

October 29th, 2020 / in Announcements, CCC, CRA, Privacy, research horizons, Research News / by Maddy Hunter

The following has been reposted from the CRA Bulletin.   Today the Computing Research Association (CRA) released the first of more than a dozen planned white papers produced through its subcommittees, exploring areas and issues around computing research with the potential to address national priorities over the next four years. Called Quadrennial Papers, the white papers attempt to portray a broad picture of computing research detailing potential research directions, challenges, and recommendations for policymakers and the computing research community. The release of the 2020 Quadrennial Papers covers five thematic areas: Core Computer Science, Broad Computing, Socio-Technical Computing, Artificial Intelligence, and Diversity & Education.  CRA today released the first set of four […]

Robotics Roadmap for US Robotics: From Internet to Robotics, 2020 Edition

September 9th, 2020 / in Announcements, CCC, Privacy, research horizons, Research News, robotics, workshop reports / by Helen Wright

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. […]

Fairness and Machine Learning

April 29th, 2020 / in Announcements, CCC, Privacy, research horizons, Research News, resources, workshop reports / by Helen Wright

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 […]