Rising Stars in Data Science Workshop – Autumn 2022
The Rising Stars in Data Science workshop at the University of Chicago focuses on celebrating and fast tracking the careers of exceptional data scientists at a critical inflection point in their career: the transition to postdoctoral scholar, research scientist, industry research position, or tenure track position. The Autumn 2022 workshop will showcase the exciting, innovative data science initiatives at UChicago as well as the research work of exceptional PhD students and postdocs.
Please note that this is a private workshop apart from the Day 1 panels (“The Data Science Job Search – Advice + Approaches” and “Faculty 101 – How to Make the Most of Your First Year”) and Day 2 keynote, which members of the University of Chicago community may attend virtually. Please register here to attend one of these sessions via Zoom.
Below is a high-level agenda for the workshop, as of October 2022. Please note that this is subject to change. Speaker information is forthcoming.
Agenda
Monday, November 14, 2022
Welcome Breakfast + Check-in
Opening Remarks + Overview of the Data Science Institute
Panel: The Data Science Job Search – Advice + Approaches
Break
Overview of Research at DSI
Lunch
Afternoon Break – Mentor 1:1 Meetings
Rising Stars Lightning Talks – Session 1, Track A: Computational Social Science
JCL 390
Rising Stars Lightning Talks – Session 1, Track B: Machine Learning I
JCL 298
Break
Panel: Faculty 101 – How to Make the Most of Your First Year
Poster Session + Reception
Tuesday, November 15, 2022
Breakfast
Rising Stars Lightning Talks – Session 2, Track A: Human+AI
JCL 390
Rising Stars Lightning Talks – Session 2, Track B: Networks/IoT + Robotics
JCL 298
Break
Panel: Inside the Search Committee
Lunch
Rising Stars Lightning Talks – Session 3, Track A: Machine Learning II
JCL 390
Rising Stars Lightning Talks – Session 3, Track B: Statistical Foundations of Data Science
JCL 298
Break
Rising Stars Lightning Talks – Session 4, Track A: AI+Science
JCL 390
Rising Stars Lightning Talks – Session 4, Track B: Trustworthy + Fair Machine Learning
JCL 298
Break
Keynote
Break
Matchmaking Session – Opportunities at DSI
Speakers

Luís M. A. Bettencourt

Yuxin Chen

Aaron J. Elmore

Nick Feamster

Diana Franklin

Michael J. Franklin

Rana Hanocka

Alex Kale

Karen Livescu

Dan Nicolae

Molly Offer-Westort

Aaron Schein

Daniel Sanz-Alonso

David Uminsky
