Harness the power of AI and citizen science:
Join the Designathon!
Would you like to feel empowered to expand the societal impact of your research? And would you like to explore how you can translate your expertise into innovative solutions that make a tangible difference beyond academia? Join our two-day Designathon and learn how to work across disciplines with AI, design approaches, human expertise, and citizen science.
What’s the challenge?
You will collaborate in a designathon format to prototype transdisciplinary hubs for AI-assisted research. Cancer research will be taken as an initial example, but you will also reflect on strategies with which you can amplify the broader societal relevance of your own project.
Session 1: Designathon: Exploring and empowering a real-world case study
In this hands-on workshop, you’ll work together with researchers, AI experts, designers, and healthcare partners to co-create a transdisciplinary hub where patients, players, and scientists contribute to advancing cancer research.
Session 2: Amplifying the social impact of your research
This session focuses on reflecting on the societal values and outcomes your own research can foster.
Together, we’ll explore the skills you need to develop and the actionable steps you can take to realise this vision. By mapping your research context and crafting a plan for meaningful impact, you will not only hone transdisciplinary collaboration skills but also create a concrete strategy to translate your work into real-world change.
Why join?
- Make a tangible impact: contribute to cutting-edge research.
- Collaborate across disciplines: work with scientists and designers and bring in your expertise to think out-of-the-box.
- Learn hands-on how AI models are trained and used in real-world applications and what role society has in this development.
- Expand your network: connect with experts from academia, industry, and healthcare
Dates:
Wednesday 1 April | 9.00-17.00 hrs (including lunch)
Wednesday 15 April | 13.00-17.00 hrs
Location:
Education Lab | Polak building | Ground floor
Limited spots available – apply now!
(free for PhD candidates and postdocs of the Graduate School and the Convergence*)
*Within the AI, Data & Digitalisation theme
