Overview - CU Population Center


The CU Population Center (CUPC), funded by the Eunice Kennedy Shriver National Institute of Child Health and Development, represents an interdisciplinary community of scholars and professionals engaged in population research and training. Building on the foundation of a distinguished thirty-year-old Population Program within the Institute of Behavioral Science, and closely allied with the African Population Studies Research and Training Program (APS), CUPC affiliates explore demographic processes in the U.S. as well as in a wide variety of international settings.


Recent center research includes studies of social conditions that facilitate or inhibit the genetic influence on smoking and obesity, the impact of HIV/AIDS on poor, elderly, rural South Africans in the context of emerging antiretroviral therapy policies, the impact of environmental quality on household health and mortality, the contribution of smoking to changing mortality disparities, the effects on health and well-being of family members of migrants, and multiregional demographic projections using indirect estimation. In this work, we aim to balance an emphasis on long-standing fields of study with the pursuit of promising new topics. Center research thus examines both classical demographic topics, such as migration and social determinants of health, and emerging areas of population studies, such as behavioral genetics, smoking, obesity, climate change, and natural hazards.

Work on these topics is collaborative in nature, both within and outside the University of Colorado. We have developed collaborative institutional ties with the Institute for Behavioral Genetics (IBG) at CU Boulder, the National Center for Atmospheric Research (NCAR) in Boulder, the University of Colorado Denver, the University of the Witwatersrand, Johannesburg, South Africa, the African Population and Health Research Center (APHRC), Nairobi, Kenya, and Southampton University, England.

This research has benefited from research, administrative, and computing support provided by the University of Colorado Population Center (Project 2P2CHD066613-06), funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development. The content is solely the responsibility of the authors and does not necessarily represent the official views of CUPC or NIH.