Sam Field has over twenty years of experience in statistical consulting with an emphasis on program evaluation, multi-level modeling, geospatial methods, and network analysis. He brings expertise on causal inference and methods for bias reduction including propensity score analysis and instrumental variable estimation. Sam has led efforts to design complex sampling and analyses for evaluations of global health and human development programs. He is also an advocate and practitioner of transparent research practices. In a previous role at the Center for Open Science, Dr. Field was part of a team of research scientists working on the Systemizing Confidence in Open Research and Evidence (SCORE) program, a large-scale effort to assess and improve the credibility of social-behavioral sciences. Sam earned his PhD in sociology at the University of Texas at Austin.