UW-Madison’s 2023 Research Bazaar will focus on the theme of Information Insights: Shaping Futures with Data and Computing. It will be held February 22-23 at the UW-Madison Discovery Building (the career panel will also be streamed online).
The Research Bazaar (formerly the Data Science Research Bazaar) is an inclusive, community-building event at UW-Madison for researchers, data scientists, entrepreneurs, and community members, including students. It is modeled on the internationally occurring Research Bazaar, a worldwide festival promoting the digital literacy emerging at the center of modern research. The aim of these events is to equip researchers from all career stages with the digital skills and tools required to do their research better, faster, and smarter.
Questions? Email us at contact@datascience.wisc.edu.
Registration
Register for the Research Bazaar
Registration for the Research Bazaar is free for both members of the UW-Madison community and the public. Registering for the event and signing up for individual sessions is a two-step process:
- Click on the button to register for the Research Bazaar through Eventbrite.
- We are using Sched to manage the Research Bazaar schedule. Once you have registered through Eventbrite, you will receive an email prompting you to create a Sched login and select the sessions you plan to attend. Some sessions have limited capacity, so we highly recommend you do this early.
Registration deadline: February 8, 12:00 p.m.
Questions? facilitator@datascience.wisc.edu
Schedule of Events
The 2023 Research Bazaar will inspire ideas and discussions about how data and computing can shape futures. This is an abbreviated version of the schedule. A detailed schedule of events, including event descriptions and speaker information, is available in Sched. You will need to register to view the detailed schedule in Sched. We are continuing to finalize event details, so be sure to check back for updates.
February 22, 2023
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Welcome and Introduction (9-10 a.m., DeLuca Forum)
- Welcome by Sarah Stevens, Data Science Hub
- Introductory Presentations
- Citationality and Granularity in the Future of Digital Humanities Scholarship: the case studies of Digital Mappa 3.0 and the Old English Poetry in Facsimile project. Martin Foys, UW-Madison English Department
- Shaping the future of the Brazilian Amazon with Data Science. Holly K Gibbs, UW-Madison Department of Geography
Lightning Talks (10 a.m.-12 p.m., DeLuca Forum/Atrium)
Session 1, 10-10:30 a.m. (DeLuca Forum)
1. Collaborator Matching Experiment. Claudia Solis-Lemus
2. Hide-and-Seek: Finding Another Earth Hidden in Starlight. Jessi Cisewski-Kehe
3. Using NVivo to Manage and Interpret Qualitative Data. Tom Durkin
4. LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks. Yuchen Zeng
5. The Survey of the Health of Wisconsin: Furthering Health Research in Wisconsin Through Collaboration. Allison Rodriguez
6. The Trade-off between Label Efficiency and Universality of Representations from Contrastive Learning. Zhenmei Shi
7. The NIH Data Management & Sharing Policy: Research Data Services Can Help. Trisha Adamus
8. #WhatsHappeningInMyanmar: News After Military Coup. Khine Thant Su
Lightning Talk Discussion, 10:30-11 a.m. (Atrium)
Session 2, 11-11:30 a.m. (DeLuca Forum)
10. Flexible Bayesian Regression for Network-structured Data. Sameer Deshpande
11. Active Cost-aware Labeling of Streaming Data. Ting Cai
12. Navigating the Challenges of Renewable Energy Siting: A Tool for Community Engagement and Transparency. Henry Hundt
13. Ultrafast Learning of 4-Node Cycles In Phylogentic Networks using Algebraic Invariants. Zhaoxing Wu
14. Subset Selection – on Robustness and Approximation. Dekun Zhou
15. Learning Analytics: A Feedback Tool for Iterative Design. Jay Winston
16. Research Data Storage Solutions: Easy collaboration and seamless sharing. Mike Layde
17. Identifying Hidden States of Consciousness During Sleep Using MVAR Models. Xinrui Liu
18. Match-making in the Brazilian Amazon: Data Integration to Avoid Deforestation. Matt Christie
Lightning Talk Discussion, 11:30 a.m.-12 p.m. (Atrium)
Lunch (12-1 p.m., Atrium)
Box lunches will be provided.
Collaboration matching lunch (Orchard View Room)
Interactive Discussion and Workshops (1-2:30 p.m.)
Interactive discussions and workshops occur concurrently, and attendees should only plan to attend one.
Interactive Discussion
Research on Research? That’s so Meta. Salima Currimbhoy, Amanda Thornton
The Geospatial Community of Practice at UW-Madison: A Moderated Discussion Around Existing Resources, Training, and Campus Geospatial Activity. Ed Boswell, Sarah Graves, Jim Lacy, Jaime Martindale
Workshops
Advance Your Research: Scale Out Your Computing. Christina Koch, Rachel Lombardi
Break (2:30-3 p.m.)
Collaboration Bazaar (Poster Session)(3-5 p.m., Atrium)
Poster Session
- LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks. Yuchen Zeng
- Using Collaboration to Drive Health Research in Wisconsin. Adam Paulsen
- GitLab: Collaborating Within and Across UW Administrative Units. Susan M. McMillan
- Productivity or Equity? Tradeoffs in Volunteer Microtasking in Humanitarian OpenStreetMap. Yaxuan Yin
- A New Framework for Identifying Statistical Correlation between IceCube Point-Source Data and Tracers of Large-Scale Structure with Nearest Neighbor Distributions. Grant Zhou
- Creating an Institutional Sustainability Data Dashboard. Alex Frank
- NLP Solutions to Readability and Literacy in Tibetan. Dirk Schmidt
- Estimating Building Energy Demand of the University of Wisconsin-Madison. Jaime Garibay-Rodriguez
- Spatial Patterns in U.S. Heat Pump Adoption and Implications for Policies to Promote Just Energy Transitions. Jacob Erickson
- Badgervoltaics: Seeking Collaborators for Agriculture and Solar Energy Project. Josh Arnold
- Assessing Campus Solar Potential with Google Project Sunroof. Josh Arnold
- Identifying the likelihood of therapeutic breakthroughs in scientific topics. Salsabil Arabi
- Using NVivo to Manage and Interpret Qualitative Data. Tom Durkin
- Ultrafast Learning of 4-Node Cycles In Phlyogenetic Networks Using Algebraic Invariants. Zhaoxing Wu
- The Trade-off Between Label Efficiency and Universality of Representations From Contrastive Learning. Zhenmei Shi
- The NIH Data Management & Sharing Policy: Research Data Services can Help. Trisha Adamus
- Flexible Bayesian Regression for Network-Structured Data. Sameer Deshpande
- Active Cost-Aware Labeling of Streaming Data. Ting Cai
- Subset Selection: On Robustness and Approximation. Dekun Zhou
- Identifying Hidden States of Consciousness During Sleep Using MVAR Models. Xinrui Liu
Art Exhibit — 3-5 p.m.
Details coming soon!
February 23, 2023
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Interactive Discussions & Workshop (9-10:30 a.m.)
Interactive discussions and workshops occur concurrently, and attendees should only plan to attend one.
Interactive Discussions
Big Data in Healthcare. Michaela Roskopf, Sam Cohen
Workshop
Authoring Collaborative Research Projects Using Quarto. Quinn Asena
Break (10:30-10:45 a.m., Atrium)
Interactive Discussions & Workshop (10:45 a.m.-12:15 p.m.)
Interactive discussions and workshops occur concurrently, and attendees should only plan to attend one.
Interactive Discussions
UW Badgervoltaics: Shaping Land-Use Futures by Optimizing for Agricultural and Solar Production. Josh Arnold
The Data Science Platform Embraces Diversity in Languages and Environments. Erwin Lares
Workshop
Data and Code Sharing When you Publish Your Paper: Tips and Tricks From the Other Side. Lisa Charron, Cameron Cook
Lunch (12:15-1:15 p.m.)
Box lunches will be provided.
Career Panel & Interactive Discussion (1:15-2:45 p.m.)
Career Panel
The Career Panel will feature speakers who represent a variety of data science-related career paths. This session will be virtual and streamed to the Deluca Forum for in-person attendees.
Interactive Discussions
Interactive Maps as a Tool for Community Building and Discovery. Abe Megahed, Kyle Cranmer
Break (2:45-3 p.m., Atrium)
Closing Session (3-4 p.m., De Luca Forum)
The Research Bazaar will wrap up with a discussion on the theme of this year’s conference. How can we put these ideas into action at UW-Madison and beyond campus? Speakers include:
Moderator: Gavin Luter
Panelists:
- Rahul Chatterjee, UW-Madison Department of Computer Sciences
- Esteban Chiriboga, Great Lakes Indian Fish & Wildlife Commission (GLIFWC)
- Joao Dorea, UW-Madison Department of Animal and Dairy Sciences
- Mariah A. Knowles, UW-Madison Data Science Hub and iSchool
- Jay Winston,Jay Winston, UW Madison Department of Educational Psychology
Closing Reception (4-5 p.m., McArdle Building)
Continue the conversation at a reception hosted by the American Family Insurance Data Science Institute. Space is limited and pre-registration is required. This reception will be held on the 11th floor of the McArdle Building across University Avenue.
Sponsors
We are excited to partner with campus departments and industry for the 2023 Research Bazaar: UW-Madison Libraries, UW-Madison Division of Information Technology, WARF, the School of Computer, Data, & Information Sciences, the Department of Computer Sciences, the iSchool, the Department of Statistics, the Department of Industrial and Systems Engineering, the School of Medicine and Public Health, the Technology Entrepreneurship Office, UW Credit Union, the American Family Insurance Data Science Institute, Epic, and American Family Insurance. Read more about our sponsors here. If you are interested in sponsoring this event, please contact us at facilitator@datascience.wisc.edu.
UW-Madison sponsors
American Family Insurance Data Science Institute
Department of Computer Sciences
Department of Industrial and Systems Engineering
Department of Statistics
Division of Information Technology
iSchool
Libraries
School of Computer, Data and Information Sciences
School of Medicine and Public Health
Technology Entrepreneurship Office
Research Bazaar Planning Committee
The Research Bazaar would not be possible without the efforts of the following Planning Committee members who represent a variety of different fields and disciplines using computing and data science. We appreciate the efforts of these individuals and thank their respective departments/employers for contributing their time.
- Trisha Adamus, School of Medicine and Public Health, Ebling Library
- Ben Ball, Data Science Institute
- Grace Cagle, Soil Science
- Kesong Cao, Department of Psychology
- Cris Carusi, Data Science Institute
- Cameron Cook, Libraries/Research Data Services
- Chris Endemann, Data Science Hub
- Michael Ferris, Computer Sciences
- Vasso Founta, School of Computer, Data, & Information Sciences
- Melissa Godboldt, American Family Insurance
- Andrew Hanus, Illuminating Discovery Hub
- Sheriff Issaka, IssakaAI Technologies
- Ting Jin, Biostatistics and Medical Informatics
- Mariah Knowles, Data Science Hub
- Erwin Lares, Research Cyberinfrastructure
- Shourya Maheshwari, Statistics
- Adam McMillan, Radiology
- Casey Schacher, Science and Engineering Libraries, Research Cyberinfrastructure Team
- Nancy Sheehan, Journey North – UW-Madison Arboretum
- Heather Shimon, Science and Engineering Libraries
- Sarah Stevens, Data Science Hub
- Jason Struck, Social Science Computing Cooperative
- Lana Wood, Parsley Solutions, PBC
Code of Conduct
The 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 Research Bazaars
The 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 Research Bazaars are linked below.
2022 Data Science Research Bazaar: Data and Communities: Sharing and Protecting Data
2021 Data Science Research Bazaar: Data Science for the Social Good
2020 Data Science Research Bazaar: What’s the Data Science in Your Science?
View Recorded Sessions From the 2022 Research Bazaar
Click the button below to browse a playlist of all available session recordings (workshops, discussions, and presentations).