About the Presentation
Dr. Helleringer will present the results of a recent trial of a a computer vision approach to improving age data in low-income countries. In such settings, age is often misreported during surveys and censuses due to inadequate knowledge of dates of birth, low numeracy levels in some population sub-groups, or deliberate behaviors of data collectors. This may lead to (sometimes severe) bias in estimates of key demographic indicators such as life expectancy or the total fertility rate. To address this issue, Dr. Helleringer and colleagues trained a computer system to automatically produce an age estimate from a single photograph of the face of study participants. That system was then evaluated in a demographic surveillance system in Senegal (West Africa), where gold standard age data are available. Other potential applications of computer vision in demographic and health studies will be discussed.
About the Speaker
Stephane Helleringer is associate professor in the Bloomberg School of Public Health, at Johns Hopkins University. He is a social demographer with interests in a) developing new methods to measure demographic trends in countries with limited data, and b) the effects of social networks on population health. He is currently conducting several trials of innovative data collection techniques in Senegal, Guinea-Bissau, Malawi and Nepal. He received his PhD in sociology and demography from the University of Pennsylvania.