Join us for Research Bazaar trainings and focused discussions in March and April! You can register for these events when you register for the main Research Bazaar or up to one week before each event.
Important: You will need to register for each training and discussion you want to attend. Main Research Bazaar registration does not include Extended Bazaar events. Trainings cost $10 each, which includes coffee. Focused discussions are free of charge.
All events will take place in the Discovery Building Orchard View Room.
March 23
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Applied data science for food access: Farm2Facts and FEAST. Focused discussion, 9-10:30am
Presented by Olivia Nygaard, Kaufman Lab
Collaborators: Alfonso Morales, Planning and Landscape Architecture; Abe Megahed and Steve Wangen, Data Science Institute; and Garrett Smith, TRAD
This discussion will explore how data-driven tools can generate meaningful insights that support food access and equity decision-making. Using Farm2Facts and FEAST (Food Equity Access Simulation Technology) as case studies, the session will examine how metrics move from data collection to interpretation, modeling, and application. Farm2Facts collects standardized data from farmers’ markets, including metrics related to sales, food access programs, vendor participation, and community engagement. FEAST builds on similar data sources through computational modeling and simulation to evaluate food access scenarios and equity outcomes. Together, these tools highlight complementary approaches to measuring and interpreting food system data.
The session will feature brief presentations from collaborators in data science and TRAD, followed by facilitated discussion and interactive activities. Attendees will examine real examples of metrics, visualizations, and model outputs and discuss challenges such as data quality, interpretation, scalability, and usability across disciplines and audiences. Participants will leave with a clearer understanding of how interdisciplinary collaboration strengthens applied data tools and how metrics can be transformed into actionable insights for food systems research and practice.
Data for the people: Zines and DIY publishing for researchers. Training, 10:45am-12:15pm
Presented by Lisa Abler, Libraries
Collaborators: Emma Bekele, Savannah Carr, Lauren Scanlon, Heather Shimon, and Hannah Swan, Libraries
Make a zine with us! Zines (bite-sized, handmade magazines) are creative, tactile expressions of an idea, experience, or point of view, usually designed to be shared and build community. Zines offer researchers a unique, artistic medium to process a complicated idea or to translate research for new audiences. This hands-on workshop will cover different kinds of zines, how to communicate a topic through visual design, and resources for further exploration. We’ll have a warm-up drawing activity and then guide you to create a page that will be collated into a community zine. Each participant will receive a copy of the finished community zine after the workshop. Zine-making supplies will be provided.
Better data science communication through improv. Training, 2-5pm
Presented by Ben Rush, Radiology
Collaborator: Anne Lynn Gillian-Daniel, Materials Science and Engineering
This interactive workshop is designed for scientists, trainees, and professionals who want to sharpen their ability to communicate effectively and adaptively. In academia and industry alike, ideas and stories often need to be shared in real time with diverse audiences—from colleagues and collaborators to decision-makers and the public. This session provides a lively, low-stakes space to build confidence in handling the unexpected. Through applied improv and playful practice, participants will experiment with spontaneous speaking, responding to mistakes, and refining how they connect with others. Attendees are expected to participate.
Goals
- Increase your comfort communicating science by practicing how to adjust and pivot when the unexpected happens
- Develop various versions of your research overviews and stories for different audiences and scenarios
- Foster new connections and build community with other participants.
This session uses applied improv principles and interactive communication games to expand participants’ science communication toolkits. Activities are designed to meet participants where they are—whether graduate students honing their presentation skills or mid-career professionals looking to refresh their communication style. The workshop emphasizes practice over performance: participants are encouraged to engage at their own pace, laugh at mistakes, and support one another in experimentation.
April 6
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Making dashboards in Python using Streamlit. Training, 9am-12pm
Presenters: Sarah Stevens, Data Science Hub
This workshop lesson is an introduction to making interactive data visualizations in Python. Learners will wrangle data into the proper format using pandas library, create visualizations using the Plotly Python library, and display these visualizations and create widgets using Streamlit. Foundational knowledge in Python, such as that covered in the Software Carpentry Python lesson, is needed to follow along with the training.
Interactive dashboards in R with Shiny. Training, 1-4pm
Presenters: Ryan Bemowski, Data Science Hub
April 16
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Balancing Competing Metrics in Applied AI. Focused discussion, 10-11:30am
Presenter: Chris Endemann, DoIT Research Cyberinfrastructure
As AI systems become more embedded in research workflows, they are evaluated using an expanding set of metrics including accuracy, speed, cost, energy use, explainability, adoption, and more. These metrics often compete with one another, and priorities are shaped by practical constraints around resources, scale, and time-to-results. This session focuses on how researchers choose and balance metrics when using AI in applied settings, examining how these choices influence trust, deployment decisions, and the feasibility of sustaining AI workflows over time. Rather than proposing a single evaluation framework, the discussion aims to surface real constraints, tradeoffs, and open questions researchers face when deciding what “good enough” looks like in practice.
Four Common Experimental Designs and How to Use Them & Statistical Consulting Demo. Training, 1-2:30pm
Presenter: Steve Moen, Statistical Consulting Group
Collaborators: Cécile Ane and Nicholas Keuler, Statistics
High-quality experimental designs are crucial in science. In this workshop, four common ones are discussed – completely randomized designs (CRD), complete randomized block designs (RCBD), RCBDs with subsampling, and split-plot designs. Specific examples that tie to real-world analyses across disciplines are emphasized.
In addition, the workshop will include a statistical consulting demo to showcase the statistical consulting process, where scientific questions are discussed and advice is provided at no additional cost. If you are interested in taking part in a live consulting meeting, please bring information related to your research to facilitate a productive discussion. Participation is optional. Depending on demand, not all interested attendees will get to participate.