Cross-posted from the Data Science Hub
The Data Science Hub is excited to invite you to participate in the inaugural Data Science Research Bazaar by submitting your ideas to present!
UW-Madison’s Data Science Research Bazaar is a practical, two-day, hands-on, unconference-style event for all members of the UW-Madison campus community who are interested in data science, from expert methodologists to novice learners just getting their feet wet with data science tools. Presenters from all disciplines, all UW-Madison affiliated individuals, and individuals from the surrounding Madison area are encouraged to apply. Help make the Research Bazaar a successful exchange of ideas and skills by participating and submitting your idea to present. The Research Bazaar is happening at the Discovery Building on January 24-25, 2020.
Proposals are due on November 15, 2019, unless otherwise noted in a specific call.
The Research Bazaar is seeking proposals for the following presentation formats and workshops:
- Lightning Talks: 3-minute short talks looking for collaborators/resources or sharing a data science tool/pipeline/resource
- Concurrent Sessions: 90 minutes for forming or meeting with Communities of Practice, tool demonstrations, other longer form discussion sessions
- Workshops: 2.5 hours to teach a hands-on tutorial for a tool, workflow, or concept
- Building an Innovative Research Community at UW-Madison – Poster Session I (Day 1)
- Data Science in the Community – Poster Session II (Day 2)
- Art Exhibit: opportunities for visual and sculptural art, for 2-day or 1-month display periods
The Research Bazaar is also seeking proposals for the following networking opportunities:
- Birds of a Feather Sessions: lunchtime networking with individuals interested in a particular topic area
- Marketplace Booths: sponsored booths to showcase services and resources
- Career Flash Talks: 5-minute short talks about how data science and research computing are used for your position.
If you have any questions, please send an email to contact@datascience.wisc.edu.