DSI Summer Lab: Final Symposium – Department of Computer Science

Date & Time:

August 19, 2022 9:30 am – 3:30 pm

Location:

John Crerar Library, 5730 South Ellis Avenue, Chicago, IL, 60637

08/19/2022 09:30 AM 08/19/2022 03:30 PM America/Chicago DSI Summer Lab: Final Symposium John Crerar Library, 5730 South Ellis Avenue, Chicago, IL, 60637

The Data Science Institute Summer Lab symposium represents the culmination of ten weeks’ worth of students’ research and hard work, and will be a wonderful opportunity for the entire Summer Lab community to support and engage with the cohort about their exciting research projects. The event will include five themed sessions where students will present pre-recorded videos overviewing their research projects, followed by live Q&A moderated by their peers. At the end of the event, we will host a poster session and reception. A light breakfast and boxed lunch will be provided, and there will be a reception along with the concluding poster session. All attendees must follow University guidelines regarding COVID-19.

Talks will be in John Crerar Library Rooms 298 and 390, and broadcast on Zoom for remote participants. Contact rmitchum@uchicago.edu for Zoom details.

For the full agenda, visit the DSI website.

Resources

Community

The Climate App Designed to Tackle Chatham’s Flooding Crisis

Globus Receives Multiple Honors in 2024 HPCwire Readers’ and Editors’ Choice Awards

Argonne Team Breaks New Ground in AI-Driven Protein Design

Midwest PL Summit

Thomas Kleine Buening (Oxford)- Strategic Interactive Decision-Making

“Machine Learning Foundations Accelerate Innovation and Promote Trustworthiness” by Rebecca Willett

Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao

Ian Foster – Better Information Faster: Programming the Continuum

Data Ecology: A Socio-Technical Approach to Controlling Dataflows

Unveiling Attention Receipts: Tangible Reflections on Digital Consumption

NeurIPS 2023 Award-winning paper by DSI Faculty Bo Li, DecodingTrust, provides a comprehensive framework for assessing trustworthiness of GPT models

“Machine Learning Foundations Accelerate Innovation and Promote Trustworthiness” by Rebecca Willett

Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao

UChicago Undergrad Analyzes Machine Learning Models Used By CPD, Uncovers Lack of Transparency About Data Usage

Research Suggests That Privacy and Security Protection Fell To The Wayside During Remote Learning

Five UChicago CS students named to Siebel Scholars Class of 2024

UChicago Computer Scientists Design Small Backpack That Mimics Big Sensations

UChicago Researchers Win Internet Defense Prize and Distinguished Paper Awards at USENIX Security

In The News: U.N. Officials Urge Regulation of Artificial Intelligence

UChicago Scientists Make New Discovery Proving Entanglement Is Responsible for Computational Hardness In Quantum Systems