This Project Grant award of $160,000 from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports collaborative research at North Carolina State University (NC State) on "Partial Priors, Regularization, and Valid & Efficient Probabilistic Structure Learning." The research aims to develop new statistical methods for reliable uncertainty quantification in high-dimensional structure learning problems that are ubiquitous across the biomedical, physical, and social sciences. The 3-year project, starting July 1, 2024, will offer opportunities for career development of new generations of statisticians and data scientists. No subawards are planned under this award.