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 ‘CCC’ category

 

CCC Council Chair Emerita, Liz Bradley, Featured in Recent SpringerNature Podcast on Athlete-scientists

July 5th, 2023 / in Announcements, CCC / by Maddy Hunter

CCC Council Chair Emerita, Liz Bradley, was interviewed last month for a SpringerNature’s podcast segment on Athlete-scientists. As an Olympian, mathematician and Professor of Computer Science at University of Colorado Boulder, Bradley discusses the impact of athletics on personal development, the importance of discipline, and strategies for balancing sports and intellectual pursuits. Bradley first fell in love with the sport of rugby and went on to play on the New England Select team around 1979. She ended up switching to rowing due to a series of concussions that left her unable to play rugby. As a rower, she competed in the World Rowing Championships in 1986 and 1987, finishing fourth […]

CCC Responds to NTIA Request for Comment on AI Accountability Policy

June 22nd, 2023 / in AI, Announcements, CCC / by Maddy Hunter

Last month, the National Telecommunications and Information Administration (NTIA) released a request for comment on Artificial Intelligence (AI) system accountability measures and policies. The request sought comments pertaining to both potential and existing self-regulatory, regulatory, and other measures designed to provide reliable evidence to external stakeholders that AI systems are legal, effective, ethical, safe, and otherwise trustworthy. Written by Nadya Bliss (Arizona State University), David Danks (University of California, San Diego), Maria Gini (University of Minnesota), Jamie Gorman (Arizona State University), William Gropp (University of Illinois), Madeline Hunter (Computing Community Consortium), Odest Chadwick Jenkins (University of Michigan), David Jensen (University of Massachusetts Amherst), Daniel Lopresti (Lehigh University), Bart Selman (Cornell […]

Former CCC Council Member, Kevin Fu, Appointed to White House PCAST Working Group

May 30th, 2023 / in Announcements, CCC / by Maddy Hunter

The President’s Council of Advisors on Science and Technology (PCAST) recently created a working group on physical resilience. The working group is made up of cyber-security experts from across academia, government and industry with the intent to identify research areas and possible solutions, as well as, advance current approaches to bolstering cyber-physical resilience.  Among the new working group members is former Computing Community Consortium (CCC) Council Member Kevin Fu. Kevin Fu is a Professor of Electrical & Computer Engineering in the College of Engineering and the Khoury College of Computer Sciences at Northeastern University. Fu served on the CCC Council from 2015-2019. During his time at the CCC, Kevin was […]

CCC at AAAS Panel Recap: “Maintaining a Rich Breadth for Artificial Intelligence” Q&A

April 28th, 2023 / in AAAS, AI, CCC / by Catherine Gill

This blog post is a continuation of yesterday’s summary of the Maintaining a Rich Breadth for Artificial Intelligence panel at the 2023 AAAS meeting. This panel was moderated by Maria Gini (University of Minnesota) and the panel comprised David Danks (University of California – San Diego), Bo Li (University of Illinois – Urbana-Champaign), and Melanie Mitchell (Santa Fe Institute)   Following the panel, Dr. Gini opened the discussion up to the audience for Q&A. The first question came from a researcher in the audience:   To what extent do you think homogeneity is an effect of cost in terms of the available hardware? Neural networks are cheap to create and […]

AAAS Panel Recap: Maintaining a Rich Breadth for Artificial Intelligence

April 27th, 2023 / in AAAS, AI, CCC / by Catherine Gill

The final CCC panel of AAAS 2023, “Maintaining a Rich Breadth for Artificial Intelligence”, was held on Sunday, March 5th, the last day of the conference. This panel was composed of David Danks (University of California – San Diego), Bo Li (University of Illinois – Urbana-Champaign), and Melanie Mitchell (Santa Fe Institute) and was moderated by Maria Gini (University of Minnesota).    Dr. Bo Li began the panel by discussing the importance of conducting trustworthy machine learning (ML), and the ways in which we can ensure ML is safe, equitable, and inclusive. Machine learning is ubiquitous, Li said, and today is used in a significant number of everyday activities, such […]

AAAS Panel Recaps: Improving Mental Health and Supporting Self-regulation with Technology

April 20th, 2023 / in AAAS, CCC / by Haley Griffin

Mental well-being is essential to a happy life, and especially with the stresses of the pandemic heightening the mental health crisis plaguing the US and the world, research on ways technology can improve mental health has never been more crucial. Technology can be detrimental to users’ mental health, but there are also abundant ways that it can be used to improve mental health. CCC organized a panel, “Improving Mental Health and Supporting Self-regulation with Technology,” that outlined the status of many creative technologies that support people’s mental well-being. The panelists were Dr. Tanzeem Choudhury (Cornell University), Dr. Mary Czerwinski (Microsoft Research), and Dr. Shri Narayanan (University of Southern California). The […]