© Adam Lipinski/Fraunhofer IPM

Joint project: I4C - Intelligence for Cities

»AI-based adaptation of cities to climate change - data, prediction and decision-making «

Funding period: 01.01.2021 - 31.12.2023

Type of project: Joint project

Funding code: 67KI2029B

Funding program: KI-Leuchttürme für Umwelt, Klima, Natur und Ressourcen [AI-light houses for environment, climate and ressources]

Project partner: 

Spokesperson

Christiane Felder
Fraunhofer-Institute for High-Speed Dynamics,
Ernst-Mach-Institute, EMI
+49 761 2714 352
christiane.felder@emi.fraunhofer.de

Prof. Dr. Thomas Brox

University of Freiburg,
Institute for Informatics,
Pattern Recognition and Image Processing

brox@cs.uni-freiburg.de

The number of people living in urban areas is increasing worldwide. In Germany, too, over 75 per cent of the population live in cities. The problem: urban areas are particularly vulnerable to the effects of climate change. These include extreme weather events such as heatwaves, floods and storms. It is necessary to counteract these effects in order to protect the well-being of the urban population and safeguard economic performance.

Due to the complexity of urban systems, artificial intelligence (AI) methods have a special role to play in future-oriented urban planning, for example. The I4C project researched various AI methods that can be used as part of planning, political and legal measures to improve the adaptability of cities to extreme events. The aim of the project was to identify neighbourhoods, trees and buildings that are particularly vulnerable to heat stress, flooding and storms. The project was accompanied by considerations on ethics and data protection when dealing with artificial intelligence. The need for further training was also to be determined.

Sponsored by the Federal Ministery for the environment, nature conservation, nuclear safety and consumer protection (BMUV) according to a resolution by the German Federal Parlament (Bundestag).