CCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we will be recapping each session. This week, we will summarize the highlights of the session, “Generative AI in Science: Promises and Pitfalls.” In Part Three, we summarize the presentation by Dr. Duncan Watson-Parris, assistant professor at Scripps Institution of Oceanography and the Halıcıoğlu Data Science Institute at UC San Diego. Following Dr. Markus Buehler’s presentation on generative AI in mechanobiology, Dr. Watson-Parris turned the audience’s attention to generative AI applications in the climate sciences. He began by outlining the difference between climate and weather. Weather refers to […]
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.
Author Archive
CCC @ AAAS 2024: Generative AI in Science: Promises and Pitfalls Recap – Part Three
March 20th, 2024 / in AAAS / by Catherine GillCCC @ AAAS 2024: Generative AI in Science: Promises and Pitfalls Recap – Part Two
March 19th, 2024 / in AAAS / 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 will be recapping each session. This week, we will summarize the highlights of the session, “Generative AI in Science: Promises and Pitfalls.” In Part Two, we will summarize Dr. Markus Buehler’s presentation on Generative AI in Mechanobiology. Dr. Markus Buehler began his presentation by addressing how generative models can be applied in the study of materials science. Historically in materials science, researchers would collect data or develop equations to describe how materials behave, and solve them with pen and paper. The emergence of computers allowed researchers to […]
CCC @ AAAS 2024: Generative AI in Science: Promises and Pitfalls Recap – Part One
March 18th, 2024 / in AAAS / 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 will be recapping each session. This week, we will summarize the highlights of the session, “Generative AI in Science: Promises and Pitfalls.” In Part One, we will summarize the introduction and the presentation by Dr. Rebecca Willett. CCC’s first AAAS panel of the 2024 annual meeting took place on Friday, February 16th, the second day of the conference. The panel, moderated by CCC’s own Dr. Matthew Turk, president of the Toyota Technological Institute at Chicago, was composed of experts who apply artificial intelligence to a variety of […]
Reminder: Join a Roundtable to Discuss the Next Grand Challenges in Computing
February 28th, 2024 / in Announcements / by Catherine GillThe Computing Community Consortium’s (CCC) Grand Challenges task force is engaging in a new visioning activity to identify the next grand challenges that will shape the future of our field. We’re seeking visionary thinkers and researchers to join us in this exciting exploration. These virtual roundtable discussions will aim to consider the whole of the field of computing in this context and ask what the new fundamentally “computing research” issues might be that could produce a new set of “Grand Challenges” for our field. In the way in which challenges around Health, Climate, Energy, Sustainability, and Agriculture draw those from many disciplines (including computing research) into their grand challenges, […]
Shaping the Future of AI Research and Education with the NAIRR: Respond to the NAIRR RFI
February 20th, 2024 / in CCC, NSF / by Catherine GillOn January 24th, 2024, the NSF’s National Artificial Intelligence Research Resource (NAIRR) working group released a Request for Information to, “gather current and anticipated research and education use cases for the NAIRR Pilot and to also identify current and anticipated challenges and barriers that researchers and educators may face in accessing and using AI resources and tools for their activities”. The field of AI is evolving at a breathtaking pace, becoming increasingly integral to various research domains and educational settings. However, accessing large-scale computing resources, AI-ready datasets, and pretrained models, which are necessary to conduct AI research, can be a significant barrier to entry for researchers, educators, and students. […]
Call for Participation: Envisioning Computer Science Futures and Frontiers
February 14th, 2024 / in CCC / by Catherine GillThe Computing Community Consortium’s (CCC) Grand Challenges task force is engaging in a new visioning activity to identify the next grand challenges that will shape the future of our field. We’re seeking visionary thinkers and researchers to join us in this exciting exploration. The community has been inundated with innovation and acceleration over the last decade, resulting in a world in which information, communication, and computational technologies permeate human interactions and enable essential functions of society. These virtual roundtable discussions will aim to consider the whole of the field of computing in this context and ask what the new fundamentally “computing research” issues might be that could produce a […]