AI + SCIENCE SUMMER SCHOOL AT UCHICAGO.

[Simona Ahmed]

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/ai-science-summer-school-2023/https://datascience.uchicago.edu/events/2022-ai-science-summer-school/> July 
17-21,2023, on the UChicago campus. Register here 
<https://www.imsi.institute/activities/aiscience-summer-school-2023/> by 
April 07 and please share this announcement widely!

Application (due 4/07/23): h
ttps://www.imsi.institute/activities/aiscience-summer-school-2023/ 
<https://www.imsi.institute/activities/aiscience-summer-school-2023/>

Website: 
https://datascience.uchicago.edu/events/ai-science-summer-school-2023/ 

Questions? Email simonaa 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:

   - 
   
   electrochemistry, polymers, and material science
   - 
   
   biophysics, non-equilibrium statistical physics, and particle physics
   - 
   
   climate modeling and data analysis
   - 
   
   visual neuroscience and visual representations in deep learning
   - 
   
   genomics and medicine
   - 
   
   data-driven prediction and control of complex dynamical systems
   
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 2023 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/>.


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