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.
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 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 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 the population that could be subject to exclusion?
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 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 digipower.academy tools: https://digipower.academy/
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 Digipower.academy has emerged out of projects initiated separately by SITRA , Migros Pioneer Fund (via the HestiaLabs project) and PersonalData.IO
If you need help contact firstname.lastname@example.org
Kamilou Issaka – PersonalData.io
Fabio Monnet – Swiss IGF
Jessica Pidoux – PersonalData.io
Marie-Pierre Vidonne – PersonalData.io
Flor Méchain, a trained translator, supports the French-speaking projects of Wikimedia CH. She helps volunteers to run contribution projects on Wikipedia and its sister projects (especially to reduce gender bias!). She trains employees of heritage collections who want to publish their content on Wikimedia projects, or academics who design projects for scientific disclosure.