Parallel sessions


Genre et numérique dans l’éducation (FR)

Isabelle Collet

Isabelle Collet is a professor in the Sciences of Education section at the University of Geneva where she runs the G-RIRE: Gender – Intersectional relations, Educational relations team. She is also a research associate at the Institute of Gender Studies, University of Geneva.

A computer scientist by training, she researches on closing the gender gap in STEM (especially IT) and developing strategies for inclusion of women in higher education. In 2019 she published Les oubliées du numérique.


Chloé Hermary

In 2019 Chloé Hermary founded Ada Tech School, a model alternative computer science school aimed at favoring more diversity and inclusion in the Tech sector. Graduating from HEC Paris in 2018, she is passionate about the new modes of learning and has created a two-year course in software development, inspired by alternative pedagogies. The students of Ada Tech School are 70% women. In 2021 it raised more than 3 million euros to expand throughout France and pursue its mission: to train a new generation of diversified talents and build a more sustainable and inclusive society with the aid of Tech.

Laure Lemaire

Laure Lemaire is a sociologist and economist. As a researcher she specialized in the impact of ITC on changes in work and occupations (FTU Namur and University of Liège – Lentic). Since 2007 she has been Director of Interface3. There she is in charge of the general coordination of the non-profit organization, fund-raising, and project and training program design, in close collaboration with the teaching team.

Audrey Parrone

Audrey Parrone is a sociologist, in charge of projects for the impactIA Foundation. She researches on gender diversity in the area of AI and is a project leader in the “Advancing Women in AI” initiative, with the aim of raising to 30% the proportion of women in AI within five years.

Frédérique Chessel-Lazzarotto

Frédérique Chessel Lazzarotto was a teacher for 16 years, and then a primary school head. In 2015 she joined the in-service teacher training team in Evian, France. In particular she was involved in the introduction of computer science and robotics in primary schools with the Robot d’Evian project. In 2018 she joined the LEARN Center at the EPFL in Lausanne as project leader for the introduction of digital education in the primary schools of Vaud (EduNum).

Gregory Liegeois

Gregory Liegeois is a project leader at the LEARN Center at the EPFL. Trained as a primary teacher, from the start of his career he has integrated the new technologies into his teaching. This passion has played an ever-greater part in his career and he is now head of this area in an international primary and secondary school. This has given him the opportunity to introduce a computer science program and develop digital uses and digital citizenship. Three years ago he joined the LEARN Center at the EPFL to coordinate the Digital Education project of the Canton of Vaud (EduNum).

Women in AI

Only 22% of AI professionals worldwide are women, according to World Economic Forum data. The growing number of women entrepreneurs in the technology sector is not sufficient to break the stereotype of masculine domination in the industry. But why is this important? Not only does the lack of women in the industry means that future products may be more oriented toward a masculine market, but gender diversity is crucial for improving the capacity of the sector to influence, assist and orient government policy in the development of a balanced, just, and sustainable society. ImpactIA Foundation works ceaselessly to favor the adoption of ethical, robust, and legal artificial intelligence based on three pillars: the individual, the enterprise, and civil society.

Audrey Parrone

Audrey Parrone is a sociologist, in charge of projects for the impactIA Foundation. She researches on gender diversity in the area of AI and is a project leader in the “Advancing Women in AI” initiative, with the aim of raising to 30% the proportion of women in AI within five years.


Laura Tocmacov Venchiarutti – The four barriers to transition / My Mentor is a Woman

Laura Tocmacov co-founded and is the director of the ImpactIA Foundation. Specialized in professional transitions, she addresses the challenges and ethical issues of AI in the professional world. She is convinced that by making the world of work more sustainable, society as a whole evolves towards greater equity. In parallel to her work, she is conducting an EDBA (Executive Doctorate in Business Administration) on « The programmed obsolescence of the social contract in the age of artificial intelligence », focusing on new forms of work, within the IMSG.

Claude A. Garcia – The four barriers to transition

Claude A. Garcia is Professor at the University of Applied Sciences, Bern and leads a research team at ETH Zurich. Trained in tropical ecology, Claude builds strategy games to help people manage landscapes and resources. He has experience working all over the tropics. With his partners, he founded LEAF Inspiring Change, an ETH spinoff to help decision makers cope with uncertainty. He is the president of the Lobby des Consciences, an NGO aiming at catalyzing social change. Claude is fluent in French, Spanish and English. He likes to sing “Despacito” and dance in the street, much to his kids embarrassment.

Lynn Bertholet – My Mentor is a Woman

Lynn Bertholet holds a Master’s degree in Economics from HEC Lausanne, is a graduate of IMD’s Program for Executive and holds a certificate in « Leadership for LGBT executives » from the Graduate School of Business at Stanford University in California.

Lynn Bertholet was a senior executive for 30 years in the finance sector, and taught at the University of Geneva from 2003 to 2019. Founder in 2018 of the association ÉPICÈNE, which she has chaired ever since, Lynn is passionate about diversity, equity and inclusion issues in the corporate world, where she frequently intervenes as a consultant or trainer.

Human rights AI

A holistic approach to human rights in the context of new technologies requires translating human rights norms into practical standards that are understandable to businesses and engineers. Many critical decisions that affect users’ human rights are made on the drawing boards of technical experts at the early stages of a technology.

The <AI & Equality> A Human Rights Toolbox introduces a human Rights based approach on AI, using a Jupyter notebook field with code that connects how human rights interplay with decisions made at various points of the data and model lifecycle. Participants will see how different fairness metrics can be applied on the same problem and explore different sources of bias in the machine learning pipeline, using a critical approach by questioning the data and the model.

Sofia Kypraiou

Sofia Kypraiou is a data scientist and the Programme Associate and  developer of the <AI & Equality Toolbox>, an initiative of the Swiss NGO Women at the Table, developed in collaboration with EPFL and the Office of the High Commissioner for Human Rights (OHCHR) in Geneva.

She holds a Master’s degree in Data Science from EPFL, having done her thesis on this very topic. Her research interests focus on fairness, human rights and their applications.

Thematic discussions

Educational Escape Games (FR)

In the form of a  » Mission Impossible « , we invite you to enter the world of educational escape games. Your mission, if you accept it, will be to think about the foundations of an escape game on the theme of « gender and digital » in 3x one hour (possibility to participate in one or more workshops). This work will later be used to design and play this escape game during future events of the « Gender equality and digital transformation » project.

Maud Plumettaz-Sieber

Since 2017, Maud Plumettaz-Sieber has been working on a thesis in the didactics of computer science (PACT project) concerned with the debriefing of knowledge in programming and with computational thinking after a session of Programming Game. In her work she adopts a design-based research (DBR) methodology in which she collaborates with computer-science teachers, computer scientists, a game designer and a graphic artist to co-design a techno-pedagogical package consisting of the game and a teaching scenario.

Catherine Bonnat

Catherine Bonnat is a lecturer at the University of Geneva and Director of the French-speaking didactic programs at the University of Fribourg (Switzerland). Her thesis and post-doctoral work are in the field of science didactics (biology) and computer-based learning environments. More precisely, her research focuses on the design of learning situations in science by integrating digital environments, to help the teacher and the students.

Inclusion and Tech

Magaly Mathys

Magaly Mathys is Program & Education Lead for Trust Valley, a public-private partnership aimed at promoting the excellence of the Lake Geneva region in the field of digital trust and cybersecurity. In 2019, she co-founded Powerhouse Lausanne, which aims to offer a solidarity ecosystem to help people rebuild their careers, especially in the information technologies.

Discussion 1 – Women in tech: from words to deeds

What works – or doesn’t work, what ways forward to improve a situation that is progressing only slowly?

Discussion 2 – Diversifying tech: a major challenge

What are the ways forward to make the computing world a non-discriminating space?

Discussion 3 – Digitization as a factor of exclusion

In a society that is and wants to be more and more digitalized, how to include the part of t

On algorithms and other magical beliefs– the way we speak, the way we think, the way we digitalize 

As digitalization advances rapidly and we use algorithms to make Real Life decisions, we have to ask ourselves how it is possible to believe that algorithms can solve societal issues without questioning if they may provoke actual and irreversible harm to people.
We have to ask ourselves why we believe that numbers and statistics are neutral or even logical, while they are another language that reflects upon human thinking und understanding.
We also have to ask ourselves why we implement algorithms without being able to fully account their designers (governments, firms, engineers and other stakeholders) for the harm they may cause in Real Life situations.
We eventually believe that algorithms are magical.
But algorithms are not magical. They can be discriminatory, fully of racial or gender biases and highly unethical because they reflect upon humans and their social constructs and beliefs.
Thus, we have to ask ourselves if the time has come to a social change towards a fair and equal society.

Marianthe Stavridu

Marianthe Stavridou is Head of Business Ethics at CCRS. She studied Linguistics and History at the University of Bern (Switzerland), Sociology and Law in Milan and Rome (Italy) and Corporate Communications and Sustainable Finance at the University of Zurich (Switzerland). Prior to CCRS, she worked in different institutes, think tanks and the private sector. Her research interests include social resilience, migration, entrepreneurship, inclusive growth, SMEs, the SDGs, and business ethics.

Your Personal Data, Your Life… Take control!

You might say “I know Google, Tinder and my fertility app collect my data”
You might think “I have nothing to hide!”

But are you sure? These companies are very opaque and the data economy is very complex.

Do you know how your personal data is used to influence your behaviour ?

Find out what companies know about you and what you can do with your data
This is a participative workshop to recover your data and discuss about it.

In one hour you will learn very concretely how to:

-Download the data aggregated about you by the social network(s) or dating application(s) of your choice;
– Read your data files and visualise what the data says about your professional, personal and even intimate life;
– Understand how this information is used to attract your interest, maximise the time you spend on the application, or influence your choices and opinions;
– Discuss with experts about social and legal issues based on your experience analysing your personal data

We will be using the tools:
Before the workshop, recover your data by going to the digipower website, select the app you use in the menu bar, follow the given steps to recover your data, bring your computer and your data to the workshop. You will analyse it on your computer, we don’t collect your data!
If you don’t have your data, come and see what we found out analysing our data!

The has emerged out of projects initiated separately by SITRA , Migros Pioneer Fund (via the HestiaLabs project) and PersonalData.IO
If you need help contact



Fabio MonnetSwiss IGF