Our data fair brings together external collaborators (you) and our Interaction Master students of the Information Visualization Class.

The goal is for the students to pick a data set and associated real-world analysis and visualization problem to work on for the remaining duration of the course (i.e. 7 weeks). Within that course, students are required to analyze the data set (basic analysis and plotting) as well as have to work on a visualization project that can focus on exploratory or explanatory issues with the data. Students will work in groups of 2-3 students.

You will have the chance to work with motivated and creative students as close as you wish and integrate them into your research. We hope that novel collaborations between you and the students and/or us emerge. Many students will choose a master theses topic in the summer and this might be a good chance to continue working with students in these months that follow.

This is the second year of the data fair. We are running it again because both last year's students and data providers were very happy about the outcomes of their projects. These included research paper submissions and ongoing projects.

To participate please fill out this survey and make sure that you can be present to present your topic and talk to the class about your project on November 28, 2019 at 13:30 in Bat 660, the Digiteo Moulon building (next to PRCI).