Negar Kiyavash @ WiDS Zurich 2022 - Causal Inference in Complex Networks

NEGAR KIYAVASH, Associate Professor, Chair of Business Analytics at EPFL

Causal Inference in Complex Networks

Causal determinism states that every event is necessitated by precedent events together with governing laws, natural or otherwise. Causal determinism is deeply ingrained with our ability to understand the physical sciences and their explanatory ambitions. Besides understanding phenomena, identifying causal networks is important for effective policy design in nearly any avenue of interest, be it epidemiology, financial regulation, management of climate, etc. Yet determining statistical causation among interacting stochastic processes and variables remains quite challenging. This lecture will review recent advances in causal inference: How far have we come, and where do we go from here?