Blockchain Knows What Happened. Causal Models Know Why — and What Comes Next

Terra/Luna, Celsius, FTX — was, at its root, a failure of causal understanding. The protocols knew their current state. They had no model of how that state would propagate under stress. When the ...
mccormick.northwestern.edu

COMP_SCI 374: Causal Graphical Models

We know that correlation does not imply causation, but careful analyses of correlations are often our only way to quantify cause and effect in domains ranging from healthcare to education. This ...

Why AI Governance Frameworks Are Failing — and What a Causal Model Does Differently

Every major consultancy is selling an AI governance framework right now. The market is crowded: maturity models, policy ...
Nature

Graphical Models and Bayesian Networks

Graphical models form a cornerstone of modern data analysis by providing a visually intuitive framework to represent and reason about the complex interdependencies among variables. In particular, ...
University of Bristol

Developing methods for complex causal inference

Dr Vanessa Didelez is a statistician developing methods to understand better causal mechanisms, the processes linking cause and effect in complex systems in motion that evolve over time, so-called ...