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DTSTART;TZID=America/New_York:20171103T120000
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DTSTAMP:20200103T135042Z
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SUMMARY:Data Collection for Network Sampling Approaches for Rare and Hard to Reach Populations: Lessons Learned
DESCRIPTION:Dr. Giovanna Merli (Professor of Public Policy and Global Heath\, Duke University) \nM. Giovanna Merli is Professor of Public Policy\, Sociology and Global Health in the Sanford School of Public Policy\, Duke University. She is also the Director of the Duke Population Research Center (DPRC). She holds a PhD in demography from the University of Pennsylvania. Before going to Duke\, she was on the faculty of the Department of Sociology at the University of Wisconsin\, Madison.  Merli has a strong background in the design\, conduct and analyses of surveys fielded among Chinese populations in China and Chinese immigrant destinations. Her NIH-funded data collection efforts have relied on conventional probability sampling designs as well as venue-based and link-tracing sampling approaches to recruit samples of rare and hidden populations. She has also designed ego-centric network modules for the Chinese general population\, which she has used to estimate the behavioral\, social and relational determinants of prevalence of HIV and other STIs in China. In recent work\, she has evaluated the performance of Respondent-Driven Sampling among populations at risk of HIV/STIs. Currently\, in collaboration with Ted Mouw\, she is fielding\, testing and evaluating an innovative sampling approach for rare populations\, Network Sampling with Memory\, among Chinese immigrant populations in the U.S.\, Tanzania and France. \nDr. Ted Mouw (Associate Professor of Sociology; CPC Faculty Fellow) \nMouw’s current research on social mobility focuses on factors that affect the upward mobility of low wage workers. In his paper with Arne Kalleberg\, “Stepping Stone versus Dead End Jobs: Occupational Pathways out of Working Poverty in the United States\, 1996-2012”\, he uses data from the Survey of Income and Program Participation (SIPP) to test whether the accumulation of task-specific skills increases the rate of upward mobility for low-wage workers. In a grant from the Russell Sage Foundation\, he is linking the SIPP data to county-level data on labor demand shocks in order to analyze the role that structural factors play in the upward mobility of low-wage workers. This research builds on previous work that analyzed trends in between-occupation inequality and the impact of job mobility on changes in inequality. In the next five years\, he plans to extend this work into a book-length project on working poverty and the social mobility of low-wage workers.
URL:https://www.cpc.unc.edu/event/data-collection-for-network-sampling-approaches-for-rare-and-hard-to-reach-populations-lessons-learned/
CATEGORIES:2017-18 Interdisciplinary Research Seminars
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DTSTART;TZID=America/New_York:20171110T120000
DTEND;TZID=America/New_York:20171110T130000
DTSTAMP:20200103T135042Z
CREATED:20200103T135042Z
LAST-MODIFIED:20200103T135042Z
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SUMMARY:Framing the HIV Response For Those Most at Risk: The Granularity Challenge
DESCRIPTION:Dr. Sharon Weir (UNC-CH Research Assistant Professor of Epidemiology; CPC Faculty Fellow) \nProfessor Weir’s research interests relate to methods that identify and characterize local sexual and injecting drug use networks in resource poor settings. This information is key in preventing the spread of HIV. Not only are many people asymptomatic\, which contributes to a hidden epidemic\, but persons occupying central positions in HIV transmission networks are often members of mobile\, stigmatized\, and hard-to-reach populations. Because many people do not know their HIV status and because many of those who are infected are hidden\, there is a need for methods based on sound epidemiologic science that use technology appropriate to the local setting to uncover local transmission networks in a way that leads to effective\, ethical\, and evidence-based prevention.
URL:https://www.cpc.unc.edu/event/framing-the-hiv-response-for-those-most-at-risk-the-granularity-challenge/
CATEGORIES:2017-18 Interdisciplinary Research Seminars
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DTSTART;TZID=America/New_York:20171117T120000
DTEND;TZID=America/New_York:20171117T130000
DTSTAMP:20240422T145235Z
CREATED:20200103T135042Z
LAST-MODIFIED:20240422T145235Z
UID:35812-1510920000-1510923600@www.cpc.unc.edu
SUMMARY:From ‘Opt Out’ to Blocked Out: The Challenges for Labor Market Re-Entry After Family-Related Employment Lapses
DESCRIPTION:Dr. Kate Weisshaar (UNC-CH Assistant Professor of Sociology; CPC Faculty Fellow) \nKate Weisshaar is a sociologist whose research focuses on gender and economic stratification processes within families\, workplaces\, and society\, with an interest in developing critical tests of causal processes by leveraging data and quantitative methods. She is particularly interested in how macro-level inequalities in the labor force are reproduced through micro- and meso-level processes in the workplace\, in families\, and in the work-family intersection. Her recent work examined labor market outcomes associated with intermittent labor force participation\, with a specific examination of how periods of unemployment or “opting out” of work for family reasons affect labor market outcomes upon re-entry\, such as hiring prospects\, wages\, and occupational prestige. Kate received her PhD in Sociology from Stanford University\, and has been an Assistant Professor in the Sociology Department at UNC-Chapel Hill and a Faculty Fellow at the Carolina Population Center since 2016.
URL:https://www.cpc.unc.edu/event/from-opt-out-to-blocked-out-the-challenges-for-labor-market-re-entry-after-family-related-employment-lapses/
CATEGORIES:2017-18 Interdisciplinary Research Seminars,Aging
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