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 2024: Large Language Models: Helpful Assistants, Romantic Partners, or Con Artists? Part Two

March 27th, 2024 / in AAAS / by Haley Griffin

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. Today, we will summarize the highlights of the Q&A portion of the session, “Large Language Models: Helpful Assistants, Romantic Partners or Con Artists?” This panel, moderated by Dr. Maria Gini, CCC Council Member and Computer Science & Engineering professor at the University of Minnesota, featured Dr. Ece Kamar, Managing Director of AI Frontiers at Microsoft Research, Dr. Hal Daumé III, Computer Science professor at University of Maryland, and Dr. Jonathan May, Computer Science professor at University of Southern California Information Sciences Institute. Below […]

CCC @ AAAS 2024: Large Language Models: Helpful Assistants, Romantic Partners, or Con Artists? Part One

March 26th, 2024 / in AAAS / by Haley Griffin

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. Today, we will summarize the highlights of the panelists presentations of the session, “Large Language Models: Helpful Assistants, Romantic Partners or Con Artists?” This panel, moderated by Dr. Maria Gini, CCC Council Member and Computer Science & Engineering professor at the University of Minnesota, featured Dr. Ece Kamar, Managing Director of AI Frontiers at Microsoft Research, Dr. Hal Daumé III, Computer Science professor at University of Maryland, and Dr. Jonathan May, Computer Science professor at University of Southern California Information Sciences Institute. Large […]

Virtual Registration Open for the NSF Workshop on Sustainable Computing for Sustainability

March 25th, 2024 / in Announcements, climate / by Catherine Gill

The NSF Workshop on Sustainable Computing for Sustainability has just released a virtual registration link to attend the workshop remotely on April 16-17, 2024. This workshop, which the CCC’s own Chandra Krintz is on the steering committee for, seeks to identify open challenges in how to harness computing to tackle sustainability problems, and in ensuring that computing accounts for sustainability in its own development and operation.   Due to space limitations, the workshop will follow a hybrid format with approximately 100 in-person attendees at the National Science Foundation’s headquarters in Alexandria, VA, and remote participation feasible through a zoom webinar. Please use this link to register to attend remotely. The deadline […]

CCC @ AAAS 2024: Generative AI in Science: Promises and Pitfalls Recap – Part Four

March 21st, 2024 / in AAAS / by Catherine Gill

CCC supported three scientific sessions at this year’s AAAS Annual Conference. This week, we will summarize the highlights of the session, “Generative AI in Science: Promises and Pitfalls.” This panel, moderated by Dr. Matthew Turk, president of the Toyota Technological Institute at Chicago), featured Dr. Rebecca Willett, professor of statistics and computer science at the University of Chicago, Dr. Markus Buehler, professor of engineering at the Massachusetts Institute of Technology, and Dr. Duncan Watson-Parris, assistant professor at Scripps Institution of Oceanography and the Halıcıoğlu Data Science Institute at UC San Diego. In Part Four, we summarize the Q&A portion of the panel.    A Q&A session followed the panelist’s presentations, […]

CCC @ AAAS 2024: Generative AI in Science: Promises and Pitfalls Recap – Part Three

March 20th, 2024 / in AAAS / by Catherine Gill

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 […]

CCC @ AAAS 2024: Generative AI in Science: Promises and Pitfalls Recap – Part Two

March 19th, 2024 / in AAAS / by Catherine Gill

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 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 […]