This course covers recent methodology for causal inference in settings with time-varying exposures (longitudinal data) and causally connected units (interference). We will consider theory for identification and estimation of effects, illustrated by real-li ...
This course introduces students with current broad research directions in electrical engineering, via a series of weekly wide-audience seminars given by distinguished speakers. The students practice transferable skills including active listening, critical ...
This summer school will provide PhD students knowledge on the different practices that they can adopt from the beginning of their research journey onwards, to improve the quality, transparency, shareability and reproducibility of their work. ...
Human and freight mobility in large cities is a complex process with dense population and many transport modes to compete for limited space. New emerging modes of transport, such as on-demand services, and new technologies, such as autonomous vehicles, cre ...