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 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 […]

Last week, the CCC responded to the National Telecommunications and Information Administration’s Request for Information on Dual Use Foundation Artificial Intelligence Models with Widely Available Model Weights. The CCC’s own Daniel Lopresti (CCC Chair and Lehigh University) and David Danks (CCC Executive Committee and University of California, San Diego) helped author this response along with several other members of the computing community. Markus Buehler (Massachusetts Institute of Technology) and Duncan Watson-Parris (University of California, San Diego), who both spoke at the CCC sponsored AAAS panel this year, titled, Generative AI in Science: Promises and Pitfalls, both contributed to the RFI response, along with Casey Fiesler (University of Colorado, Boulder), who […]

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 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 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 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 […]