DoWhy: Causal Reasoning for Designing and Evaluating Interventions

설립: January 1, 2018

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Research Focus: April 23, 2025
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In this issue: our CHI 2025 & ICLR 2025 contributions, plus research on causal reasoning & LLMs; countering LLM jailbreak attacks; and how people use AI vs. AI-alone. Also, SVP of Microsoft Health Jim Weinstein talks rural healthcare innovation.

A flowchart showing the DoWhy library process. Input Data and Domain Knowledge are injected into the library, where they go through four steps: Model causal mechanisms; Identify target estimands; Estimate causal effect; and Refute estimate. The process produces the output labelled Causal effect.
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| Emre Kiciman 그리고 Amit Sharma

Identifying causal effects is an integral part of scientific inquiry. It helps us understand everything from educational outcomes to the effects of social policies to risk factors for diseases. Questions of cause-and-effect are also critical for the design and data-driven…

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Emre Kiciman의 초상화

Emre Kiciman

Partner Research Manager