2021 Data Science Research Bazaar

Schedule

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February 3: Introduction & Lightning Talks (1:00-4:00 p.m. CST)

Introduction – 1:00-1:45 p.m. CST

Welcome to the Research Bazaar, Michael Ferris and Dorothea Salo

Lightning Talks – 2:00-4:00 p.m. CST

The Voice and Swallow Outcomes Database as a Resource for SLP and ENT Research, Rachel Godbout
Tropical Stethoscope, Yuren Sun
Using Search Terms and Tagging to Promote Greater Health and Equity, Molly Wirz
Spreading Like Wildfire, Rohit Menon
Protect Your Research Data with an Electronic Lab Notebook, Tobin Magle
Detecting Inequity in the Analysis of Mental Health, Kenneth Nieser
Exploring the Scholarly Article Graph: Using the Web of Science Raw Data Extract, Steve Meyer
Big Data Ecology: Birds as Sentinels of Climate Change, Benjamin Zuckerberg
Data Visualization and Information Design for Communicating USGS Science, Colleen Nell

Lightning Talk Discussion Break

Knowledge-Guided Deep Learning for Improving Environmental Predictions, Samantha Oliver
PAGER-CoV: A Comprehensive Collection of Pathways, Annotated Gene-Lists and Gene Signatures for Coronavirus Disease Studies, Clark Xu
Tracking Human Mobility and Close Contact Patterns Using Mobile Phone Data During COVID-19 Pandemic, Song Gao
Using Sentiment Analysis to Evaluate Student Wellness, James Sesil
Seed to Kitchen/SeedLinked: Harnessing Citizen Science to Improve Regional Seed and Variety Choices, Julie Dawson and Nico Enjalbert
Building a Profile of Basic Needs in Dane County Through 211, Carole Trone
Survey of the Health of Wisconsin: a Health and COVID-19 Data Resource, Jacquie Cronin
Poverty and the Wisconsin Administrative Data Core, Iain McConnell
Research Computing Beyond the Desktop: The Center for High Throughput Computing, Lauren Michael

Lightning Talk Discussion Break

February 3: Poster Session & Art Exhibit (4:00-6:00 p.m. CST)

Posters — 4:00-6:00 p.m. CST

1. Opportunity Calculator: Empowering Employee Advancement, Carole Trone
2. Using Qualtrics to Gather Audio Responses, Erwin Lares
3. Analyzing Interdisciplinary Collaboration with Bibliometric Data, Priya Kalra
4. Asking the Most Informative Questions, Scott Sievert
5. Optimizing Machine Learning Models for Clinical Application, Collin Engstrom
6. State-specific Projection of COVID-19 Infection in the United States and Evaluation of Three Major Control Measures, Shi Chen
7. Increasing the Accessibility of Computational Research with a Data Science Platform as a Service, Tobin Magle
8. The Intersection of Mental Health and COVID-19: How Exposure, Testing, Behaviors, and Perceptions Influence Mental Health Outcomes, Jacquie Cronin
9. Deep Convolutional Encoder-Decoder Networks for Permeability Heterogeneity Characterization in Heterogeneous Media, Zitong Huang
10. Automating and Integrating multiple data sources to assess Electronic Laboratory Notebook usage at UW-Madison, Shannon Stiles
11. Long-Term Wearable Sensor Suite for Real-World Biochemical Tracking in Prosthetics, Yiseng Wang
12. Research Computing Beyond the Desktop: The Center for High Throughput Computing, Lauren Michael
13. Relationship Between Cow’s Social Interactions and Milk Performance: An exploratory use of Social Network Analysis, Liliana Fadul
14. UW-Madison Research Data Services (RDS): Open Data Practices for the Social Good, Heather Shimon
15. An uBuntu Approach to Artificial Intelligence in Africa, Sheriff Issaka
16. Using Human-Centered Mobility to Investigate Local Economic Recovery, Scott Blender

Art – 4:00-6:00 p.m. CST

STREAM, Ellen Bechtel
“The Builders” and “Within Each Cell a Symphony”, Cid Freitag
“Beach Finds”, Geo Rutherford
“Black Inequalities in Health Care”, Kaylene Yong

February 4: Wellness Session & Career Panel (1:00-3:15 p.m. CST)

Wellness and Meditation – 1:00-2:00 p.m. CST

Flourishing in the Digital Age, Shilagh Mirgain – 1:00-2:00 p.m. CST

Career Panel – 2:15-3:15 p.m. CST

This panel will feature data scientists from different aspects of industry and academia who will speak about their experiences in data science, how they see the field developing, and what early career data scientists should know as they enter it. The panelists are Pitt Fagan, Sophia Liu, Aravind Moorthy, and Jacqueline Nolis.

February 10: Data Science for Racial Equity (1:00-4:45 p.m. CST)

Interactive Discussions – 1:00-2:30 p.m. CST*

  1. Ruha Benjamin’s The New Jim Code: A Book Discussion on Race and Technology, Trisha Adamus, Heather Shimon, Marisol Reese
  2. Stereotype Threat: How it Impacts the Data Science Community and How We Can Help, Casey Schacher
  3. Tech for Racial and Social Justice, Stacy Hobson

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

Workshops – 2:45-4:45 p.m. CST*

  1. Julia for Data Science, Claudia Solis-Lemus
  2. Scaling Up Empirical Research to Bigger Data with Python, Anton Babkin
  3. Communication Skills for Data Science Professionals, Christina Koch

*These workshops occur concurrently, and attendees should only plan to attend one.

February 17: Data Science for Health and the Environment (1:00-4:45 p.m. CST)

Interactive Discussion – 1:00-2:30 p.m. CST

The Importance of Student Leadership in Public Health Crises, Scott Blender, Paul Pak, Carole Trone, Lucas Chu, Yogya Kalra

Workshops – 2:45-4:45 p.m. CST*

  1. Machine Learning for Health Care and Medical Data, Ryan Kather
  2. Visualizing Mapping Models, Kris Sankaran

*These workshops occur concurrently, and attendees should only plan to attend one.

February 24: Data Science for Cities (1:00-4:45 p.m. CST)

Interactive Discussion – 1:00-2:30 p.m. CST

Madison’s Data Portal in the Classroom, Tyler Caraza-Harter, City of Madison Data Team, Sally Hu, Wen Ye, Gautam Agarwal, Bryan Jin, Dingyi Zhou, Jeremy Michael, Tianyan Zheng

Workshops – 2:45-4:45 p.m.*

  1. Predicting COVID infection rates in municipalities, using R or Python, John Caskey
  2. Using a Cloud-Based Data Science Platform for Your Research, Tobin Magle

*These workshops occur concurrently, and attendees should only plan to attend one.

February 25: Closing Session Panel (1:00-2:15 p.m. CST)

To close out this year’s Data Science Research Bazaar, we will have a panel discussion around putting our data science ideas into action within our communities and applying them to our research. The panelists are Alnisa Allgood, Sheriff Issaka, Corey Jackson, Iain McConnell, and Irene Ong. The panel moderator is Steve Wangen.

Registration

Registration is free, and you can register here.

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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.