RSVP for Research Bazaar

media release: UW–Madison’s Data Science Hub is hosting the 5th annual Research Bazaar on February 7 and 8, 2024 at the Discovery Building. With an overarching theme of Data in Action, the Bazaar is a place to build community and technical know-how. Understanding data and how analytical methods can be deployed in different fields and industries holds the potential to inspire new research directions and innovation, strengthen communities and public institutions, and improve overall quality of life for everyone.

The Research Bazaar is an inclusive, community-building event that encourages cross-pollination of ideas among researchers, data scientists, entrepreneurs, and community members, including students. The aim of this event is to foster a thriving data science community on campus and in the wider community, and to equip researchers from all career stages with the digital skills and tools required to do their work efficiently and equitably.

Questions? Email us at contact@datascience.wisc.edu.

Registration deadline: January 30. There is no day-of-event registration.

• General admission (faculty, staff, students, postdocs, and community members): $50
• UW–Madison students: $20

These fees cover all sessions and activities at the two-day Bazaar as well as a box lunch both days, coffee, and afternoon refreshments. A small credit card processing fee will be added to your total.

Wednesday, February 7

9-10am: Introduction

10-11am: Lightning Talks—Round 1

11am-12pm: Lightning Talks—Round 2

12-1pm: Lunch, with optional Collaborator Matching Lunch

1-2:30pm: Workshops and Interactive Discussions

    Strategically Planning Your Data-Rich Collaborations

    UW Badgervoltaics: Shaping Data in Action by Optimizing for Agriculture and Solar Production

    AI for Scientists

3-5pm: Poster and Art Session

3:30-5pm: Interactive Discussion

    Planning for the UW and Wisconsin 2050 Grid: From Policies to Modellable Constraints

Thursday, February 8

9am-12:15pm: Workshops and Interactive Discussions

    9-10:30am: Where’s Your Data and How to Get It?

    9am-12:15pm: Getting Started with Python for Analyzing Large Climate and Satellite Data

    9am-12:15pm: Introduction to Epistemic Network Analysis

    10:45am-12:15pm: Harnessing (Using) the Cloud for Data Science

12:15-1:15pm: Lunch

1:15-2:45pm: Workshops and Interactive Discussions

    Career Panel

    Let’s Talk About Open Software and Data: Open Source Program Office and Research Data Services

    Using R and Python in a Collaborative Research Project

3-4:30pm: Closing Panel