The PODS Grant Showcase will bring together all of the 2021 awarded teams to present on their proposals and the work accomplished so far in the projects. Lightning talks will be given by most teams with deeper dives on certain projects.

Please RSVP if you plan to attend.

Click here for more information about the 2021 PODS Awardees.

Schedule:
- 12:00pm - Light Lunch
- 12:30pm - Introduction, Opening remarks
- 12:36pm - IPODS: Innovative and Powerful Optimization methods for Data science with Statistical guarantees, Albert Berahas (Industrial & Operations Engineering)
- 12:42pm - Supporting decision-making for a vital waterway in the Great lakes by machine learning model-based lake ice forecasting, Ayumi Fujisaki-Manome (CIGLR in SEAS, CLASP)
- 12:48pm - Robust machine learning under distribution shifts and shocks: Application to sustainable air quality, Paramveer Dhillon (School of Information)
- 12:54pm - Data science approach towards a socio-ecological framework for the investigation of continental urban stream water quality pattern, Runzi Wang (School for Environment and Sustainability)
- 1:00pm - Using Geospatial Data Science to Identify Vulnerable Communities to Climate Change, Joshua Newell (School for Environment and Sustainability)
- 1:17pm - Break
- 1:27pm - Ensuring FAIRness in Social Media Archives, Libby Hemphill (School of Information, ICPSR)
- 1:33pm - Images to Integrated Data: Piloting new methods to digitize, parse, and link historical records, Joseph Alexander (ICPSR, Population Studies Center)
- 1:39pm - Measuring Racial Disparity in the Language of Physician-Patient Interactions, David Jurgens (School of Information, Computer Science and Engineering)
- 1:56pm - Classifying the Content of Undergraduate Course-taking at Scale, Kevin Stange (Ford School of Public Policy)
- 2:02pm - Exploring attention-based deep learning methods for improving students’ ability to engage with scientific literature, Kevyn Collins-Thompson (School of Information, Electrical Engineering and Computer Science)
- 2:19pm - Break
- 2:29pm - Coordinated Multi-building Modeling and Management for Flexible Grid Service Innovation, Eunshin Byon (Industrial and Operations Engineering, Civil and Environmental Engineering)
- 2:35pm - Interpretable Machine Learning for Identifying Descriptors of Catalysts for Chemical Conversion, Bryan Goldsmith (Chemical Engineering)
- 2:41pm - Equitable Models for Persistent Opioid Use Prediction and Personalization, Rahul Ladhania (Health Management & Policy, Biostatistics)
- 2:47pm - Machine learning augmented system for continuous fetal monitoring, Kathleen Sienko (Mechanical Engineering)
- 2:53pm - Scientifically-Structured Latent Variable Methods for High-Dimensional Data to Individualize Healthcare, Zhenke Wu (Biostatistics, School of Public Health)
- 3:00pm - End