AI-Powered Causal Analytics
See the Real Effect
Beyond the Noise
Interactive demo of AIPW doubly-robust causal estimation — showing how advising interventions truly affect student retention once selection bias is removed from the data.
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Doubly-Robust Estimates
AIPW propensity + outcome modeling separates true causal effect from selection bias.
Success-Aware Insights
Heterogeneous treatment effects broken down by Pell, first-gen, and contact timing.
Portfolio ROI
Constrained optimizer allocates advising budget to the highest causal-return programs.