BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Carolina Population Center - ECPv6.15.17//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Carolina Population Center
X-ORIGINAL-URL:https://www.cpc.unc.edu
X-WR-CALDESC:Events for Carolina Population Center
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20160313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20161106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20170312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20171105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20180311T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20181104T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170302T150000
DTEND;TZID=America/New_York:20170302T160000
DTSTAMP:20260504T044842
CREATED:20200103T135058Z
LAST-MODIFIED:20200103T135058Z
UID:35842-1488466800-1488470400@www.cpc.unc.edu
SUMMARY:Demographic Trends in sub-Saharan Africa: The Role of Family Planning Programs
DESCRIPTION:J. Richard Udry Distinguished Lecture \nJohn Bongaarts\, Ph.D. \nJohn Bongaarts is Vice President and Distinguished Scholar of the Population Council where he has been employed since 1973. He holds a PhD in Physiology and Biomedical Engineering from the University of Illinois and was a Post-Doctoral Fellow in Population Dynamics at the John’s Hopkins School of Public Health. Bongaarts’ research has focused on a range of population and health issues\, including population projections\, determinants of fertility and mortality trends\, the demographic impact of the AIDS epidemic and population policy options in both the developed and developing world. He has published over 200 papers\, chapters and books.   Honors include the Robert J. Lapham Award and the Mindel Sheps Award from the Population Association of America\, and the Research Career Development Award from the National Institutes of Health.  He is a member of the U.S. National Academy of Sciences\, the Royal Dutch Academy of Sciences\, and is a Laureate of the International Union for the Scientific Study of Population.
URL:https://www.cpc.unc.edu/event/demographic-trends-in-sub-saharan-africa-the-role-of-family-planning-programs/
CATEGORIES:J. Richard Udry Distinguished Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170324T120000
DTEND;TZID=America/New_York:20170324T130000
DTSTAMP:20260504T044842
CREATED:20200103T135058Z
LAST-MODIFIED:20240422T145201Z
UID:35843-1490356800-1490360400@www.cpc.unc.edu
SUMMARY:Race\, Nativity\, Aging & Health: Critical Demography and Life Course Perspectives
DESCRIPTION:Tyson Brown\, Assistant Professor of Sociology & Director of the Center for Biobehavioral Health Disparities Research\, Duke University \nDr. Brown is an assistant professor of sociology and the director of the Center for Biobehavioral Health Disparities Research at Duke University. He earned his Ph.D. in sociology from the University of North Carolina at Chapel Hill—where he was also a trainee at the CPC—prior to completing a NIH/NIA postdoctoral fellowship at Duke. Brown’s research draws on life course perspectives and panel data to understand racial inequalities in health and wealth trajectories in middle and late life. He also studies how racial inequalities are gendered and classed\, and the extent to which socio-environmental and psychosocial mechanisms across the life course explain within- and between-group inequalities. His research and training have been supported by funding from the NIH and the Robert Wood Johnson Foundation.
URL:https://www.cpc.unc.edu/event/race-nativity-aging-health-critical-demography-and-life-course-perspectives/
CATEGORIES:2016-17 Interdisciplinary Research Seminars,Aging
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170331T120000
DTEND;TZID=America/New_York:20170331T130000
DTSTAMP:20260504T044842
CREATED:20200103T135059Z
LAST-MODIFIED:20200103T135059Z
UID:35844-1490961600-1490965200@www.cpc.unc.edu
SUMMARY:Machine Learning in Population Research
DESCRIPTION:Chirayath M. Suchindran\, Ph.D.\, Professor\, Biostatistics\, UNC-Chapel Hill \nSuchindran’s recent publications include a paper that demonstrates the use of mixture models with linear predictors to identify incorrect gestational age in US birth certificates\, a regression analysis of interval censored complex survey data\, an examination of the redistribution techniques to identify the errors in causes of death data\, a paper in Demography that demonstrates the use of event history data to obtain estimates of multistate life table parameters and their standard errors and a paper dealing with the appraisal of biomarker selection methods applicable to HIV/AIDS research. \nSuchindran’s current\, substantive research projects include genetic by context influence on trajectories of adolescent health risk behaviors\, effects of cash transfer and community mobilization on HIV incidence and gender norms among South African young women\, effect of neighborhood SES on coronary heart disease burden in communities and obesity development and CVD risk factor clustering in Filipino women and offspring\, and promoting safe sex among HIV+ women. \nSuchindran’s work will focus on developing methods for data analysis and conduct of collaborative research with CPC researchers that have been initiated currently. The methodological focus will be on the issues related to complex sampling designs and estimation of random effects models with specific complex survey designs with different modes of data collection\, currently being proposed to collect the Add Health Survey wave V. Suchindran will also pursue his research in developing indices of longevity based on Kullback-Leiber divergence measures that involve moments of order three and above (for example\, skewness and kurtosis). Suchindran will also join in the new initiatives in the Department of Biostatistics in developing state-of-the-art methodology for analyzing ‘big data’ (for example\, machine learning techniques for predictive modeling\, dimension reduction) with focus on demographic research. On the collaborative research side\, Suchindran will continue his involvement in several intervention studies where the data collections are about to end. Suchindran will also provide statistical help\, if necessary\, by developing methods for data analysis for CPC researchers.
URL:https://www.cpc.unc.edu/event/machine-learning-in-population-research/
CATEGORIES:2016-17 Interdisciplinary Research Seminars
END:VEVENT
END:VCALENDAR