Kyle Pitzer is a doctoral candidate at the Brown School. His academic agenda emphasizes bridging the gap between the science of neighborhood effects and interventions within community contexts. This agenda has led to an interest in examining and solving a wide range of challenging issues in urban communities. He has conducted research on a variety of domains such as policing, mental health, voting access, and services for older adults in order to provide his expertise on neighborhood effects and community development as well as quantitative methods.
His dissertation research focuses on neighborhood-level interventions for community development, collecting empirical evidence on the role of community development organizations in affecting both social and physical outcomes in neighborhoods. To this end, Kyle employs statistical methods as well as on-the-ground ethnographic fieldwork at organizations in the St. Louis metropolitan region. This study will empirically document impacts of community development organizations on neighborhood conditions and the life trajectories of community residents.
In addition to his research, Kyle enjoys teaching students about statistics and data analysis. He teaches several different courses on quantitative methods and has worked at the Brown School StatLab, a service for students to seek help with quantitative methods, for 3 years. In addition to his work in and outside the classroom with students, he also consults with staff and faculty on data collection, management, and analysis.