Computational Causal Inference

Understand

We introduce computational causal inference as an interdisciplinary field across causal inference, algorithms design and numerical computing.

• The field aims to develop software specializing in causal inference that can analyze massive datasets with a variety of causal effects, in a performant, general, and robust way.
• The focus on software improves research agility, and enables causal inference to be easily integrated into large engineering systems.
• In particular, we use computational causal inference to deepen the relationship between causal inference, online experimentation, and algorithmic decision making.