2022 Data Science Research Bazaar

See All Recorded Sessions

 Click the button below to browse a playlist of all available session recordings (workshops, discussions, and presentations).

Conference Recordings


Attend the poster session for a chance to win a $25 Food Fight restaurant group gift card! Attendees who visit and collect a keyword from at least six presenters will be entered into the raffle. Enter the keywords you collect into this form. The four winners will be announced on Thursday, February 3. 

This is an accordion element with a series of buttons that open and close related content panels.

February 2: Introduction & Lightning Talks (1:00-5:00 p.m. CST)

Introduction – 1:00-1:50 p.m.

1. Welcome & Introduction, Sarah Stevens
2. Falsehoods fly, and the truth comes limping after. Lessons learned on the front lines of the COVID-19 social media infodemic. Malia Jones
3. 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 – 2:00-5:00 p.m.

Session 1, 2:00-2:30 p.m.
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. Beyond academic research: commercial value of datasets and software, Leah Haman

Lightning Talk Discussion, 2:30-3:00 p.m.

Session 2, 3:00-3:30 p.m.
7. Machine learning towards more inclusive technologies, Keyi Wang
8. Scaling the collection and interpretation of public benefit policy eligibility: challenges and solutions, Iliana (Lana) Wood
9. Meeting FAIR principles: challenges and successes from a citizen science program, Nancy Sheehan
10. Data repositories at UW-Madison, Cameron Cook
11. Publishing statistical models: getting the most out of particle physics experiments, Matthew Feickert
12. Resources for learning about data equity, Jennifer Patiño

Lightning Talk Discussion, 3:30-4:00 p.m.

Session 3, 4:00-4:30 p.m.
13. Research computing beyond the desktop: the Center for High Throughput Computing, Lauren Michael
14. The Survey of the Health of Wisconsin: a statewide community health data resource, Laura McCulley
15. Use of R to streamline analysis of continuous environmental data, Catherine Harris
16. A deep learning approach to location data privacy protection, Song Gao
17. An Integrated deep learning modeling framework for county-level crop yield prediction in support of USDA NASS operation, Zhou Zhang
18. Den of Pythons: a co-learning community for non-experts, Jules Arensdorf, Dave Bloom
19. Gerrymandering in Wisconsin: tools to understand and improve fairness, Cheng-Wei Lu

Lightning Talk Discussion, 4:30-5:00 p.m.

February 2: Poster Session & Art Exhibit (5:00-6:00 p.m. CST)

Posters — 5:00-6:00 p.m.

  1. Data governance in the dairy industry, Liliana Fadul
  2. Den of pythons: a co-learning community for non-experts, Casey Schacher, Jules Arensdorf
  3. Design thinking personas can be improved using a novel method, Amanda K. Gatewood
  4. NEOS: Network Enabled Optimization System, Michael Ferris
  5. Reaching for the STARS: collecting, validating, and sharing institutional sustainability data through the Sustainability Tracking Assessment & Rating System, Alex Frank
  6. Research computing beyond the desktop: the Center for High Throughput Computing, Lauren Michael
  7. Safely navigating the DEEP (data-empowered educational practices) with teaching & learning Data, Dan Voeks
  8. Sharing language models that can translate Twi, an African language, Zhaoyi Zhang

Art Exhibit — 5:00-6:00 p.m.

  1. “High Noon from Geostationary Orbit”, Rick Kohrs
  2. “Helium”, Cid Freitag
  3. “We Exist”, Henry Obeng and Sheriff Issaka
  4. “Summer”, Shin-Tzu (Lucy) Kuo
  5. “Girl and Robot”, “Dancing with Semantics”, “From Data Signal to Wisdom”, “The Analyst”, Julia Ramos

February 9, 2022 – Interactive Discussions & Workshops (1:00 - 4:30 p.m. CST)

Interactive Discussions — 1:00-2:30 p.m.

Interactive discussions occur concurrently, and attendees should only plan to attend one.

  1. Building community for fairness and ethics in AI, Alisha Zachariah, Kerri Anderson, Ronak Mehta
  2. Leveraging doctrines from the African philosophy of Ubuntu to tackle technological bias — in and through artificial intelligence, Sheriff Issaka
  3. Blurring the lines of research and public health with SARS-CoV-2 genomic surveillance, Dave O’Connor

Workshops — 3:00-4:30 p.m.

Workshops occur concurrently, and attendees should only plan to attend one.

  1. Sharing data and code using RStudio Connect, Tobin Magle, Erwin Lares
  2. Literate programming and interactive reporting with Jupyter notebooks, Anton Babkin
  3. Introduction to developing open data science curricula, Sarah Stevens

February 16, 2022 – Interactive Discussions & Workshops (1:00 - 4:30 p.m. CST)

Interactive Discussions — 1:00-2:30 p.m.

Interactive discussions occur concurrently, and attendees should only plan to attend one.

  1. Coded Bias, a documentary film and discussion, Trisha Adamus
  2. DoIT’s Research Cyberinfrastructure group: what we do, and where we could go from here?, Jan Cheetham, Chris Lalande, Erwin Lares, Michael Layde
  3. Benefits and risks of data sharing: the dairy industry perspective, Liliana Fadul
  4. Epic Cosmos, Gary Bowlin, Matt Watkins, Matt Harrington, Binit Mohanty

Workshops — 3:00-4:30 p.m.

Workshops occur concurrently, and attendees should only plan to attend one.

1. Learning from public code: linking data and code to improve reproducibility, credit and reuse, Simon Goring
2. Introduction to HathiTrust Research Center, Angel Tang

February 23, 2022 – Career Panel & Closing Panel (1:00 - 4:30 p.m. CST)

Career Panel — 1:00-2:30 p.m.

The Career Panel will feature speakers who represent a variety of data science-related career paths:

  • Rachel Cummings, Assistant Professor of Industrial Engineering and Operations Research, Columbia University
  • Sara Kirmis, Solutions Architect, Amazon Web Services
  • Jeff Kline, Data Scientist, American Family Insurance
  • Frank Liao, Director of Data Science & Advanced Analytics, Enterprise Analytics, Information Services at UW Health

Closing Panel: Ideas Into Action — 3:00-4:30 p.m.

The Research Bazaar will wrap up with a discussion on the theme of this year’s conference, relationships between data and communities. After a month of presentations, discussions, and workshops that address the impacts that data and communities have on each other, Aaron Brower, Kaiping Chen, Eric Hoyt, and Nancy Sheehan will discuss how we can put these ideas into action at UW-Madison and beyond campus.

Code of Conduct

The Data Science Research Bazaar is a learning environment that welcomes everyone: it’s a diverse community from a wide range of backgrounds and interests. To ensure that everyone has an enjoyable and enriching experience, please bring a spirit of respect and friendly inquiry to all of your interactions at the Research Bazaar.

Be friendly and polite.

Be welcoming. The Research Bazaar strives to be a community that welcomes and supports people of all backgrounds and identities. People from all disciplines and stages of their careers are welcome.

Be respectful. Participants come from a huge range of backgrounds and experience levels. Everyone should feel comfortable to ask for the help they need to understand the discussion. Listen and support others to learn. Remember that everyone here has their own field of expertise.

Be kind to others. Be careful in the words that you choose. Do not insult or put down other participants.

Read the full code of conduct and policies on media and harassment here.

Previous Data Science Research Bazaars

The Data Science Research Bazaar is an annually occurring event, hosted by the Data Science Hub, with the mission of connecting researchers and data science professionals around diverse data science topics. The websites for previous Data Science Research Bazaars are linked below.

2021 Data Science Research Bazaar: Data Science for the Social Good

2020 Data Science Research Bazaar: What’s the Data Science in Your Science?