
What we’re about
The Data Science Institute (DSI) executes the University of Chicago’s bold, innovative vision of Data Science as a new discipline. The DSI seeds research on the interdisciplinary frontiers of this emerging field, forms partnerships with industry, government, and social impact organizations, and supports holistic data science education.
Upcoming events (2)
See all- Chicago Data Night: Haifeng Xu (UChicago)Drive Capital, Fulton East Building, 8th Floor, Chicago, IL
Please join us for our monthly Chicago Data Night, cohosted by Drive Capital, ChiData and the DSI, and this month with special partner, Booth's Center for Applied AI. Practitioners, academics, and aficionados within the Chicago area are all invited to be part of a community at the intersection of industry and academia, brought together by a mutual interest in data. Each month, guest speakers will cover a specific data-related topic.
Hors d’oeuvres and drinks will be provided. Admission is free, and we strongly encourage an RSVP to attend.
Meeting Location
Drive Capital, Fulton East Building
215 N Peoria St
Chicago, IL 60607AGENDA
5:30pm: Networking Reception
6:00pm: Welcome Remarks
6:05pm: Guest Speaker
6:50pm: Q&A
7:00pm: Networking Reception
7:30pm: Event ConcludesTitle: Benchmarking Predictive Intelligence with Prophet Arena
Abstract: What is true machine intelligence? Accurately detecting objects, holding smooth conversations with a human, winning math Olympian, or something beyond? This question is of particular importance to artificial intelligence (AI) because much of AI’s progress has been driven by optimizing clearly specified metrics.
In this talk, I propose forecasting — the ability to predict future events – as a fundamental frontier of machine intelligence. To this end, I will introduce Prophet Arena, a live benchmark for evaluating forecasting capabilities of Large Language Models (LLMs), and will share our initial findings on their predictive intelligence.
Bio: Haifeng Xu is an assistant professor in computer science and data science at the University of Chicago, and directs the Strategic Intelligence for Machine Agents (SIGMA) research lab which focuses on AI agents and data-driven decision making. His works have been recognized by a few awards, including an AI2050 Early Career Fellow, IJCAI Early Career Spotlight, a WWW best paper and a Google Faculty Research Award.
- Chicago Data Night: Kemal Badur (UChicago)Drive Capital, Fulton East Building, 8th Floor, Chicago, IL
Please join us for our monthly Chicago Data Night, cohosted by Drive Capital, ChiData and the DSI, and this month with special partner, Booth’s Center for Applied AI. Practitioners, academics, and aficionados within the Chicago area are all invited to be part of a community at the intersection of industry and academia, brought together by a mutual interest in data. Each month, guest speakers will cover a specific data-related topic.
Hors d’oeuvres and drinks will be provided. Admission is free, and we strongly encourage an RSVP to attend.
Meeting Location
Drive Capital, Fulton East Building
215 N Peoria St
Chicago, IL 6060AGENDA
5:30pm: Networking Reception
6:00pm: Welcome Remarks
6:05pm: Guest Speaker
6:50pm: Q&A
7:00pm: Networking Reception
7:30pm: Event ConcludesTalk: Building AI Tools for the Enterprise
Bio: Kemal Badur, CTO, Information Technology Services, University of Chicago. Kemal serves as Chief Technology Officer at the University of Chicago, overseeing technology infrastructure and strategy for the university's research, educational, and administrative operations across national and international locations. His recent work has focused on AI and machine learning infrastructure development, enterprise AI implementation, and collaborative AI literacy initiatives with faculty and researchers. He brings an interdisciplinary perspective to technology strategy, combining his economics background from Boğaziçi University and the University of Minnesota with extensive experience in research computing, internet technologies and enterprise IT systems.