By the end of the course, the students are able to:
- Describe and negotiate spatial sustainability challenges by using computational and complex systems thinking and terminology.
- Analyse and evaluate challenges and intended solutions by applying an interdisciplinary co-creation process with serious gaming.
- Use a pool of computational tools for examining challenges and illustrating envisioned solutions via a responsible futuring angle.
The course aims to develop—in a collaborative, interactive context and by using simulation-based serious gaming—the ability to simultaneously apply research, design, and organizational-consultancy skills in addressing spatial sustainability challenges. The challenges-to-be-addressed stem from at least one of the three M-EEM domains (water, energy, environment) with a distinctive r-urban nexus angle. In terms of analytical methods, the objective is to engage in a serious simulation game by exposing the students to a pool of computational and systems thinking approaches. Exposure to these approaches aims not only to practice skills, but also to experience and understand the pros and cons of the tool(s) in use.
- We focus on the following methods: spatial statistics (cluster and hot-spot analysis) and artificial intelligence (cellular automata, agent-based models, fuzzy cognitive maps) approaches.
- The sustainability game follows DesignLab’s principles of responsible futuring, interdisciplinarity, and co-creation / citizen science. Tne framework of Geodesign is applied as the overarching collaborative mode, implemented in a digitally aided serious gaming setting with computer simulations being the central activity.