The National Science Foundation awarded a $300,902 Project Grant to Texas A&M University under the Mathematical and Physical Sciences program (CFDA 47.049) for research titled "Automated Causal Discovery with Observational Data via Directed Graphical Models - New Theory and Methods." The three-year project beginning July 1, 2021 will develop new statistical theory and computational methods for discovering causal relationships from observational data using directed graphical models. Researchers will create new techniques to automate the construction of causal graphs without requiring experimental data or strong assumptions. The work will enhance scientific understanding of causal inference challenges and help data scientists discover causal patterns. As the parent organization, the Texas A&M University System will oversee project execution conducted by researchers at Texas A&M University to develop these new causal discovery methods.