Addictlab at the AI for Good Youth Zone

July 7 – 10 – Visit the AI for Good website https://aiforgood.itu.int/

Addictlab and the SDGzine collaborate with ITU and AI for good to install a lounge area with our famous Covid, Cosy and Dragon Eggs.

You can collaborate with Addictlab on different ways. Please get in contact should any of the following be of interest to you. Conditions apply.

  1. Showcase your products on our booth
  2. Exhibit your research projects
  3. Have us run a workshop with your products
  4. Book a dedicated workshop for your group
  5. Bring content for the next SDGzine

Machine Learning with Micro:bit

Discover how artificial intelligence and machine learning work by creating your own AI model using the BBC Micro:bit. Participants will train a model using motion data from their own movements, then run it directly on the device. Learn how sensors, data, and machine learning power smart technologies in this fun, hands-on workshop.

Learning Objectives

By the end of the session, participants will be able to:

1. Define machine learning and key terms (training, prediction).
2. Collect motion data using Micro:bit sensors.
3. Train a machine learning model using this data.
4. Test and evaluate the model on the Micro:bit.

Participation details

  • Times: 
  • Age group:
  • Language:
  • Number of participants:
  • Duration:
workshop

How do computers work

Experience how computers function without screens or code using Turing Tumble, a mechanical computer powered by marbles. Participants will solve logic puzzles, explore how circuits and logic gates operate, and build a deeper understanding of how hardware runs software.

Learning Objectives

By the end of the session, participants will be able to:

1. Explain basic logic operations (AND, OR, NOT).
2. Construct mechanical logic circuits using Turing Tumble.
3. Demonstrate how a series of logical instructions produces output.
4. Compare mechanical and digital computing methods.

Participation details

  • Times: 
  • Age group:
  • Language:
  • Number of participants:
  • Duration:
workshop

Moon health Challenge: M.A.R.S Rover

Join a space mission with the M.A.R.S Rover, a mobile, autonomous, robotic system inspired by NASA’s Curiosity rover and the BBC Microbit. Through building, coding, and global challenges-based problem solving, participants will explore robotics and planetary health challenges.

Learning Objectives

By the end of the session, participants will be able to:

1. Describe the core components of the M.A.R.S Rover system.
2. Build and program basic rover movement and behavior.
3. Apply robotics to simulate health/environmental challenges.
4. Collaborate on a creative solution based on solving global challenges.

Participation details

  • Times: 
  • Age group:
  • Language:
  • Number of participants:
  • Duration:
workshop

The Talking Collection: a multi-agent conversational system for museum collections

What if artworks could talk? This project, developed at the University of Geneva, explores this idea by giving a voice—and even a personality—to the casts of sculptures in its collection. The goal is simple but ambitious: to transform these static objects into real interlocutors capable of dialoguing with visitors, evoking their history, sharing their origins, but also arousing curiosity, reflection, and emotion.

Participation details

  • Times: 
  • Age group:
  • Language:
  • Number of participants:
  • Duration:
exhibition

Girls in ICT session

Girls in ICT Day

Collaboration ITU & Addictlab

To celebrate the International Girls in ICT 2026 Day theme, “AI for Development”, the AI for Good Global Summit will welcome 60 selected girls aged 8-12 for a unique day of discovery, creativity and inspiration at the intersection of AI and STEM. Participation in the activity will be based on prior registration through partner networks.

Throughout the day, participants will rotate in groups through interactive AI workshops led by AddictLab, combined with engaging exchanges with women working in artificial intelligence, science and technology. Through hands-on activities and direct interaction with professionals, the programme aims to spark curiosity, build confidence in digital skills, and encourage girls to imagine themselves as future innovators and leaders shaping the digital future.

The activity will open with remarks from senior leadership from the International Telecommunication Union, the UK Government (co-organizers) and partner organizations, highlighting the importance of empowering the next generation of girls in technology.

Hosted within the AI for Good Global Summit, the initiative will also showcase the International Girls in ICT Day movement to a global audience of AI leaders, innovators and decision-makers.

Learning objectives:

By the end of the workshop, learners will be able to:

1. Understand core AI concepts and identify practical, real-world applications of AI

2. Use digital technologies with greater confidence and curiosity

3. Explore STEM learning pathways and future opportunities in ICT

4. Connect with women working in AI and STEM, gaining inspiration from relatable role models

Fête de la Science – Pays de Gex et Grand-Genève

Presentation of the program Fête de la Science on Intelligence(s) – October 2 -12

More info