This summer school will be a hybrid event. All talks will be streamed live online to registered participants. A limited in-person option will take place at the University of Wisconsin-Madison.
Summer School is sponsored by Institute for Foundations of Data Science (IFDS) at the University of Washington, the University of Wisconsin-Madison, the University of California-Santa Cruz, and the University of Chicago as well as the UW-Madison University Center of Excellence for Efficient and Robust Machine Learning, https://madlab.ml.wisc.edu. The IFDS is supported by the NSF TRIPODS Phase 2 program.
This summer school will introduce participants to a broad range of cutting-edge areas in modern data science with an eye towards fostering cross-disciplinary research. Talks will cover both necessary foundational concepts from statistics, computer science and mathematics as well as latest developments.
The intended audience for the summer school are advanced graduate students and postdoctoral researchers with a background in statistics, computer science, mathematics or related fields.
Prospective attendees are asked to submit an application form. Registration for the summer school is required but free.
In-Person Option: An in-person option at the University of Wisconsin-Madison is available. Due to current physical distancing guidelines, attendance will be limited. Priority for in-person participation will be given to local UW-Madison applicants. The deadline to apply for the in-person option is JULY 2. Applicants will be notified by JULY 9. If we are unable to accommodate your in-person application, you will automatically be registered for the virtual option. In any case, links to the virtual stream will also be made available to the in-person participants.