Last week, CCC, in collaboration with CRA-Industry, submitted a Response to the National Telecommunications and Information Administration (NTIA), Department of Commerce’s Request for Comments: Ethical Guidelines for Research Using Pervasive Data. The response was written by Nazanin Andalibi (University of Michigan), David Danks (University of California, San Diego), Haley Griffin (Computing Research Association), Mary Lou Maher (Computing Research Association), Jessica McClearn (Google), Chinasa T. Okolo (The Brookings Institution), Manish Parashar (University of Utah), Jessica Pater (Parkview Health), Katie Siek (Indiana University), Tammy Toscos (Parkview Health), Helen V. Wright (Computing Research Association), and Pamela Wisniewski (Vanderbilt University). The National Telecommunications and Information Administration (NTIA) was seeking, “public input on the […]
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 ‘Requests for Information’ category
CCC and CRA-I Respond to NTIA Request for Comment on Ethical Guidelines for Research Using Pervasive Data
January 21st, 2025 / in Requests for Information / by Haley GriffinCCC Responds to the NITRD Request for Information on Digital Twins Research and Development
August 22nd, 2024 / in AI, NITRD, Requests for Information / by Catherine GillEnvisioning a future of digital twins leads to near limitless possibilities. Researchers predict digital twins will become increasingly personalized, with every individual having access to a digital twin of their own body. Imagine receiving real time updates from your phone to monitor your health conditions and predict health crises before they happen, or athletes receiving instant updates on their training regimens and recommendations for improving. This future is possible, however significant further research is necessary. In addition, researchers and stakeholders need to be realistic about the current capabilities of these models, as well as informed about the future of development. That is why the Networking and Information Technology Research […]