CCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we are recapping each session. This week, we are summarizing the highlights of the session, “How Big Trends in Computing are Shaping Science.” In Part 3, we hear from Dr. Jayson Lynch, a Research Scientist in the FutureTech lab at Massachusetts Institute of Technology, who explains the speed at which algorithms are improving. Dr. Jayson Lynch began their presentation by addressing the cliffhanger that Manso ended on: how quickly are algorithms improving, and will these algorithms serve as partial solution to the growing need for compute? “The main […]
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.
CCC @ AAAS: How Big Trends in Computing are Shaping Science – Part Three
May 1st, 2024 / in AAAS, CCC / by Catherine GillCCC @ AAAS: How Big Trends in Computing are Shaping Science – Part Two
April 30th, 2024 / in AAAS, CCC / by Catherine GillCCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we are recapping each session. This week, we are summarizing the highlights of the session, “How Big Trends in Computing are Shaping Science.” In Part 2, we hear from Gabriel Manso, a first year PhD student at Massachusetts Institute of Technology, who explains the computational limits of deep learning. Gabriel Manso, a first-year PhD student at MIT and a member of the MIT FutureTech research group, discussed the computational limits of deep learning along with insights from his research. Deep learning is pervasive across most areas of science […]
CCC @ AAAS: How Big Trends in Computing are Shaping Science – Part One
April 29th, 2024 / in AAAS, CCC / by Catherine GillCCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we are recapping each session. This week, we will summarize the highlights of the session, “How Big Trends in Computing are Shaping Science.” In Part 1, we will hear from Dr. Neil Thompson, from the Massachusetts Institute of Technology, who will explain the computing trends shaping the future of science, and why they will impact nearly all areas of scientific discovery. CCC’s third AAAS panel of the 2024 annual meeting took place on Saturday, February 17th, on the last day of the conference. The panel, comprised Jayson Lynch […]
CCC Council Members named 2023 AAAS Fellows
April 26th, 2024 / in AAAS, Announcements, CCC, CRA-I / by Petruce Jean-CharlesCCC is proud to announce two of its council members Michela Taufer and Holly Yanco as the American Association for the Advancement of Science’s (AAAS) 2023 Fellows. CCC would also like to congratulate CRA-Industry’s Steering Committee Co-Chair Ben Zorn for this achievement. The AAAS Council elected 502 members as fellows for the 2023 class. The association selects individuals whose contributions to the progression of science or its practical applications for the betterment of society have set them apart within their professional community. Taufer believes the scientific community can find not just answers but new ways to question, challenge, and discover at the confluence of high-performance computing, computational science, and experimental science. […]
Opportunity to Attend Public Workshops on Cybersecurity
April 25th, 2024 / in Announcements, Security / by Petruce Jean-CharlesEver thought about providing input that will shape a possible future in federal data collection on the U.S. cybersecurity workforce? The Cybersecurity Workforce Data Initiative (CWDI), mandated by the CHIPS and Science Act of 2022 and led by the National Center for Science and Engineering Statistics (NCSES) within the National Science Foundation (NSF), is examining the viability of generating nationwide assessments regarding the U.S. cybersecurity workforce. CWDI is hosting three virtual workshops in 2024 where individuals can contribute insights that will influence the potential design of a future federal data collection initiative on the U.S. cybersecurity workforce. Taking place in May and June 2024, these workshops will address three broad […]
Opportunity to Respond to U.S. Air Force RFI on Countering Bias in AI/ML Datasets
April 17th, 2024 / in AI, Announcements / by Petruce Jean-CharlesEarlier this month The U.S. Air Force Chief Scientist’s inter-agency working group sent out a Request for Information (RFI) on unintended Artificial Intelligence (AI) bias. The group is delving into the critical issue of bias within AI and Machine Learning (ML) algorithms, with a primary emphasis on datasets. They are seeking to learn about these biases from academic institutions like minority serving institutions (MSIs) and historically black colleges and universities (HBCUs), alongside industry, the federal government and other academic institutions. Despite the development of several tools aimed at identifying and addressing bias, such as the Department of Defense (DoD) Responsible AI toolkit, significant challenges persist in combating bias within AI […]
