About CAIS
==========

Learn more about the Causal AI Scientist project, including how to cite it in your research, track version changes, and understand licensing terms.

.. toctree::
   :maxdepth: 2
   :caption: Project Information

   citation
   changelog
   license

Project Overview
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The Causal AI Scientist (CAIS) is an open-source project designed to democratize causal inference by making advanced statistical methods accessible to researchers and practitioners across various domains.

**Mission**
   To provide an intelligent, automated system that helps users conduct rigorous causal inference analysis regardless of their statistical background.

**Vision**
   A world where causal questions can be answered reliably and efficiently, enabling better decision-making in research, policy, and business.

**Core Principles**
   * **Accessibility**: Make causal inference approachable for non-experts
   * **Rigor**: Maintain high standards for statistical validity
   * **Transparency**: Provide clear explanations of methods and assumptions
   * **Reproducibility**: Enable reproducible research practices
   * **Community**: Foster an open, collaborative development environment