The study "Big Data and Crowd Data for Berlin's Urban Development Planning" aims to generate innovations for strategic planning through the use of Big Data and Crowd Data. It examines the extent to which Big Data and Crowd Data can be used more extensively in urban development planning in the future to meet the challenges of the growing city. To this end, the study works out what potential the data offers for urban development and how it can be used anew or more extensively in the future to make Berlin sustainable, socially and economically successful.
For the project I took over the content control and provided input for possible data sources.
(Note: The project descriptions modified by me and presented here have been created jointly by the respective project participants)
2016 – 2017