Nancy Krieger, PhD, our Principal Investigator, is a Professor in the Department of Society, Human Development, and Health and Associate Director of the Harvard Center for Society and Health, both at the Harvard School of Public Health. Dr. Krieger's work focuses on social inequalities in health. She is a social epidemiologist, with a background in biochemistry, philosophy of science, history of public health, and involvement as an activist in issues involving social justice, science, and health. Her work involves: (a) etiologic studies of social inequalities in health, (b) methods for improving monitoring of social inequalities in health, and (c) development of theoretical frameworks to guide work on understanding and addressing social determinants of health.

Pamela D. Waterman, MPH, is our Project Director, also based in the Department of Society, Human Development and Health at the Harvard School of Public Health. In addition to helping keep the project on track, she served as our primary liaison with the staff of the Departments of Health and also handled all matters related to the geocoding process, including the evaluation of geocoding accuracy. She also played a major role in producing our data booklets and designed and produced the web-based and CD-ROM versions of our monograph.

Jarvis Chen, ScD, is a Research Scientist in the Department of Society, Human Development, and Health at the Harvard School of Public Health. He is a social epidemiologist and serves as the Senior Statistical Programmer for this study. In addition to developing and implementing virtually all of the programming, he also generated the graphical displays of the data.

David Rehkopf , PhD, is a Research Fellow at the Department of Society, Human Development, and Health at the Harvard School of Public Health. His research interests include investigations of income effects on health as well as the development of publicly available tools to assist in studies of population health. As a Graduate Research Assistant on this project, he assisted at all levels of data analyses – from running SAS programs to formatting output.

S V Subramanian, Ph.D., is an Assistant Professor in the Department of Society, Human Development, and Health at the Harvard School of Public Health. He is a medical geographer with extensive experience in multi-level modeling in analysis of public health data and provided expert advice for our project’s multi-level modeling of mortality and morbidity rates.