Causality for Policy Assessment and Impact Analysis

Here is a great introductory lecture into causal inference and the power of directed acyclic graphs / bayesian networks. It repeats a point I made earlier on this blog that big data alone, without a causal model (i.e., theory) to support it, is simply not sufficient for making causal claims.

Obviously this is a marketing event for their software, which I haven’t checked out so far. There are other open-source alternatives in R and Python. It will be interesting to see which tools will dominate the market once DAGs will have become more popular.