From Data to Discovery: AI Agents Speed Up Social Science
![Iterative refinement of hypotheses-as demonstrated by exploration of the Congress dataset-not only identifies and rejects spurious correlations, such as the initially accepted but ultimately dataset-skewed phrase “I ask unanimous consent,” but also uncovers conditional sub-hypotheses-like the strengthened link between “Govt. accountability” and opposition party control-that significantly enhance predictive power, achieving a β of 0.48 and a p-value less than [latex]10^{-5}[/latex] for accepted hypotheses like those relating to “Civil rights mentions.”](https://arxiv.org/html/2602.07983v1/x6.png)
A new framework uses artificial intelligence to automate the process of forming and testing theories, promising faster and more reliable insights in the social sciences.
Science
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