ChiRho is an experimental language and Pyro extension for probabilistic causal reasoning that lets researchers express causal assumptions as probabilistic programs and causal questions as program transformations, supporting interventions, counterfactuals, causal explanations, and structure discovery.
Endorsements support Basis Research Institute.
ChiRho is an experimental language and Pyro extension for probabilistic causal reasoning that lets researchers express causal assumptions as probabilistic programs and causal questions as program transformations, supporting interventions, counterfactuals, causal explanations, and structure discovery.
Endorsements support Basis Research Institute.
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Updated 05/18/26 · By grantmaking.aiTheory of Change
Updated 05/18/26 · By grantmaking.aiChiRho is intended to bridge modern probabilistic programming and causal inference by providing first-class causal primitives and automated program transformations. By making it easier for scientists, policymakers, and AI researchers to encode causal models and answer interventional and counterfactual questions within a familiar probabilistic programming stack, ChiRho aims to democratize rigorous causal reasoning and enable more reliable decision-making in complex domains.
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Updated 05/18/26 · By grantmaking.aiDiscussion
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