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.


Posts Tagged ‘Scientific Session

 

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 […]

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

March 18th, 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 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 […]