K6ET 2170 - Machine Learning in urban climate action

In this workshop we will explore the use of artificial intelligence (AI) as a tool for urban climate action. The workshop will provide students with an introductory understanding of AI and the kind of tasks it can complete. We will look at a variety of potential application areas, both in mitigation and adaptation measures. Working collaboratively in groups, students will create a use case for applying AI to a climate problem in an urban context, building on their prior knowledge in climate action. The development of use cases will be guided by input from examples in practice and research on implementation, capturing the perspective of city administrations. During the workshop, we will have the opportunity to explore AI governance approaches and critically reflect on techno-solutionist perspectives.

No prior knowledge of ML needed, readings are encouraged but not required.

3X 4 hours sessions. Interactive format.

This workshop valides 2 ECTS

The majority of the assessment is linked to a group work, which mainly takes place throughout the workshop hours. The grading consists of assessment of a short pitch (20%), a final presentation (30%) and comprehensive project description (40%), as well as overall participation (10%). There is the option to add an individual assignment, in case students prefer an additional grade not directly linked to the group work. This will be discussed and decided at the beginning of the workshop.

Preparatory readings will be encouraged, but are not obligatory. The workshop itself will accommodate most of the group work time. In some cases, groups may need additional time outside of the workshop time.