[The University of Michigan Network on Inequality, Complexity, & Health presents Complex Systems, Health Disparities & Population Health: Building Bridges. February 24-25, 2014. Natcher Conference Center. NIH Campus, Bethesda, Maryland.]
The University of Michigan Network on Inequality, Complexity, & Health presents
Complex Systems, Health Disparities &
Population Health: Building Bridges
February 24-25, 2014
Natcher Conference Center
NATIONAL INSTITUTES OF HEALTH CAMPUS
Deadline to register: February 14, 2014
Deadline to submit a poster (through the registration form): January 15, 2014
Register at: https://www.regonline.com/complexitydisparitiespophealth
Visit Conference Website at: http://conferences.thehillgroup.com/UMich/complexity-disparities-populationhealth/
Improving population health and eliminating health disparities is a critical task, yet our efforts are stymied by the complexity of the task, involving as it does causes of poor health that range from public policy to the nature of our neighborhoods to how we behave to biology.
On February 24-25, 2014, at the National Institutes of Health Natcher Conference Center in Bethesda, Maryland, join scholars and practitioners from the United States and abroad to learn about and see examples of how complex systems science can help guide our research and policy efforts to eliminate health disparities and improve the health of our population.
You’ll learn about the methods and tools of complex systems and how they can be used to address critical determinants of health and health disparities over the life course, including those that involve the health care system, socioeconomic status and mobility, institutions, neighborhoods, behavior, cognitive processes, and neurosciences.
This ground-breaking conference, organized by the University of Michigan Network on Inequality, Complexity & Health with sponsorship from the National Institutes of Health Office of Behavioral and Social Sciences Research, will be of interest to those from public and health sciences, social sciences, computer and engineering sciences, complex systems, health and social policy, government agencies, and funding agencies who are interested in eliminating health disparities and improving population health.