Our main goal is to share knowledge, set the tracks for new research venues and raise awareness about developing practices producing bias.


Each day an expert will present a (different) topic in relation to her expertise. We’ll form 3 groups with 3 to 4 members and 1 expert working in a specific question. After working in groups, a collective discussion will be held, in order to share and confront the outcomes. A daily summary will be written with the findings, gaps and personal and collective reflections, in order to prepare the final research agenda.

There will be also time for social activities for informal exchanges, talking and finding common interests (sharing tasting bio food, outdoor hiking in the Jura mountain, inside manual ateliers). Playing games, chatting, and resting is also part of the program!

Invited keynote speakers

Pascale Kuntz

Pascale Kuntz is full professor at the Polytechnic School of Nantes University and head of the Data Science and Decision pole of the Laboratory of Digital Sciences of Nantes (CNRS). With an interdisciplinary background in applied mathematics and social sciences (Master Paris Dauphine University and PhD EHESS, Paris) she has been involved in many interdisciplinary projects. Her main research areas are in supervised and unsupervised machine learning and data mining. She is editor of the French journal of Artifical Intelligence and vice-president of the French Speaking Society of Classification. She is Officer for gender equality at the University of Nantes.

Chantal Morley

Professor at the Institut Mines-Télécom Business School (IMT-BS), specialist in information systems and gender questions. Trained as a mathematician (University of Geneva), she holds a master’s degree in sociology, specialising in Gender, Politics and Sexuality (EHESS). She has worked for several years as an IT consultant in IT services companies. After her PhD in Management Sciences (HEC), she joined the ITM business school to set up the Information Systems Department.

To be announced

Third expert

Approximate schedule

Fri 26 June Sat 27 June Sun 28 June
9:00 Keynote speaker Keynote speaker
10:30 Welcome and introduction Break Break
11:00 Keynote speaker Discussion Discussion
12:00 Lunch Lunch Lunch
13:30 Discussion Wrap-up Wrap-up
15:00 Break Break Break
15:30 Wrap-up Social event Conclusion and farewell
18:30 Dinner Dinner

Group objectives

  • State of the art
  • Defining types of biases (human, algorithmic, gender, race…)
  • Identifying use cases and theoretical concepts
  • Critical thinking
  • Reflecting on developing practices and processes


The final research agenda will focus on algorithmic bias identified through different stages of projects’ development. The document will be available in a wiki page and the retreat’s website.
Also, the written reports about the presentations and discussions will be published in the wiki page so that every participant has the possibility to extend the information.

  • Collaborative wiki
  • Website for crowdsourcing apps
  • Research agenda