Data Science Research Bazaar: Data and Communities, Sharing and Protecting Data

Introduction — 1:00-1:50 p.m. CST

Falsehoods fly, and the truth comes limping after. Lessons learned on the front lines of the COVID-19 social media infodemic, Malia Jones

Climate observations from the ground up: perspectives on the power of data sharing and synthesis in a grassroots ecosystem monitoring network, Ankur Desai

Lightning Talks — 2:00-4:30 p.m. CST

1. Harness data to improve health equity for communities, Ganhua Lu
2. VTSV: A privacy-preserving vehicle trajectory simulation and visualization platform using deep reinforcement learning, Jinmeng Rao
3. Hugging Face: NLP and more, Kesong Cao
4. Multiscale dynamic human mobility flow dataset in the US during the COVID-19 epidemic, Yuhao Kang
5. Shiny app at scale using RStudio Connect and ResearchDrive, Brian Yandell
6. An integrated deep learning modeling framework for county-level crop yield prediction in support of USDA NASS operation, Zhou Zhang
7. Beyond academic research: commercial value of datasets and software, Leah Haman
8. Machine learning towards more inclusive technologies, Keyi Wang
9. Scaling the collection and interpretation of public benefit policy eligibility: challenges and solutions, Iliana (Lana) Wood
10. Meeting FAIR principles: challenges and successes from a citizen science program, Nancy Sheehan
11. Data repositories at UW-Madison, Cameron Cook
12. Publishing statistical models: getting the most out of particle physics experiments, Matthew Feickert
13. Resources for learning about data equity, Jennifer Patiño
14. Research computing beyond the desktop: the Center for High Throughput Computing, Lauren Michael
15. The Survey of the Health of Wisconsin: a statewide community health data resource, Laura McCulley
16. Use of R to streamline analysis of continuous environmental data, Catherine Harris
17. A deep learning approach to location data privacy protection, Song Gao
18. Den of Pythons: a co-learning community for non-experts, Casey Schacher
19. Gerrymandering in Wisconsin: tools to understand and improve fairness, Cheng-Wei Lu