[Colloquium] Application Open: UChicago AI+Science Summer School (August 8th-12th)

[Katherine Rosengarten]

Hello,
(If you are receiving this again, I apologize for the duplicate emails. There were formatting errors in the previous iteration.)
The Data Science Institute (DSI) and Institute for Mathematical and Statistical Innovation (IMSI) at the University of Chicago are jointly hosting an AI + Science summer school<https://datascience.uchicago.edu/events/2022-ai-science-summer-school/> August 8-12, 2022, on the UChicago campus. Register here<https://urldefense.com/v3/__https:/www.imsi.institute/activities/aiscience-summer-school/__;!!BpyFHLRN4TMTrA!r3vgnVaOq6flbjSPQGpmY1avob1FDxfGldNZ4w3t4tNB-tqVXb0zbB4q7flMCezKzZyAhQ$> by April 25 and please share this announcement widely!
Application (due 4/25/22): https://www.imsi.institute/activities/aiscience-summer-school/
Website: https://datascience.uchicago.edu/events/2022-ai-science-summer-school/
Questions? Email data-science at uchicago.edu<mailto:data-science at uchicago.edu>
It will focus on four core themes at the heart of this emerging paradigm of scientific discovery: AI uncovering new laws of nature, AI guiding scientific measurement, physics-informed machine learning, and scientific discovery advancing AI frontiers.
Topics of the summer school will include:

  *   Physics-informed and -constrained neural networks
  *   AI for geosciences and climate modeling
  *   AI-guided search in chemistry and molecular biology
  *   Tensor networks for classical and quantum systems
  *   Active learning and AI-guided experimental design
The goal of the program is to introduce a new generation of diverse interdisciplinary graduate students and researchers to the emerging field of AI + Science. We also hope this program can build community and spur new research directions focused on AI-enabled scientific discovery across the physical and biological sciences.
The AI + Science Summer School is intended for the following audiences:
Students: We welcome PhD students from computer science, statistics, mathematics, physics, chemistry, biology, astronomy, geosciences, and more. Students should have a basic understanding of computational methods in the sciences. Lectures will be accessible to broad audiences to help catalyze new connections across disciplines. Exceptional master’s students and exceptional bachelor’s students will also be welcomed.
Non-Students: Industry practitioners, researchers, faculty, postdocs, professionals, etc.
The 2022 AI + Science Summer School will take place in person at the University of Chicago. We are committed to providing a safe and healthy environment for participants and will abide by recommendations made by UChicago Medicine and the University of Chicago leadership regarding the impact of the ongoing coronavirus pandemic on travel and in-person events.
The organizing committee for the AI + Science Summer School includes Yuxin Chen<https://cs.uchicago.edu/people/yuxin-chen1/>, Aaron Dinner<https://chemistry.uchicago.edu/faculty/aaron-dinner>, Ian Foster<https://cs.uchicago.edu/people/ian-foster/>, Eric Jonas<https://cs.uchicago.edu/people/eric-jonas/>, Yuehaw Khoo<https://www.stat.uchicago.edu/~ykhoo/>, Risi Kondor<https://cs.uchicago.edu/people/risi-kondor/>, David Miller<https://physics.uchicago.edu/people/profile/david-miller/>, Brian Nord<https://kavlicosmo.uchicago.edu/people/profile/brian-nord/>, Surinarayanan Vaikuntanathan<http://vaikuntanathan-group.uchicago.edu/>, and Rebecca Willett<https://cs.uchicago.edu/people/rebecca-willett/>.
Best,
—
Katie Rosengarten
Program Manager, Data Science Institute (DSI)
University of Chicago
John Crerar Library Building, JCL 262
773-726-1453 (C)
773-834-5397 (O)
She/her/hers

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