The Urban Systems Engineering Lab (USE-Lab) aims to develop a people-centric, quantitative, and predictive understanding of the bottom-up organization of cities and use these insights to improve the efficiency of urban infrastructures. To that end, we apply and further develop computational tools from Urban Analytics, AI, and Complexity Science.
Prof. Markus Schläpfer participated in an international workshop at NYU Abu Dhabi, entitled The Gulf Environment: Understanding and Managing the Challenges.
For an innovative insight into using mobile phone data to increase the efficiency of the existing building stock in cities, a team of researchers from the Urban Systems Engineering Lab has won the runner-up award in the NetMob 2023 Data Challenge.
Our latest work on the potential of deep learning for predicting people flows in cities is out in Transportation.