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X-WR-CALNAME:Carolina Population Center
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X-WR-CALDESC:Events for Carolina Population Center
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SUMMARY:Arianna Marie Planey
DESCRIPTION:On February 3\, 2023\, Arianna Marie Planey will present as part of the Carolina Population Center’s 2022-2023 Interdisciplinary Research Seminar Series. \nArrianna Marie Planey\, PhD\, MA is an Assistant Professor in the Department of Health Policy and Management in the University of North Carolina Gillings School of Global Public Health and a Fellow in the Cecil G. Sheps Center for Health Services Research. She is a health/medical geographer with expertise in measuring and conceptualizing health care access\, health and healthcare equity\, and spatial epidemiology. Her research and teaching focuses include the application of spatial analytic/statistical/epidemiologic methods to study interactions between health(care) policies\, healthcare access and utilization and underlying\, population-level health inequities\, and identify points of intervention at structural- and system-levels. \nDr. Planey’s ongoing research includes collaborative studies of birth outcomes (preterm birth and low birth weight) among Black immigrants in segregated neighborhoods\, spatial mismatch by race and gender among workers in US metro areas\, and the disparate effects of rural hospital closures on acute care access.
URL:https://www.cpc.unc.edu/event/arianna-marie-planey/
LOCATION:Carolina Square Room 2002\, 123 W. Franklin St\, Chapel Hill\, NC\, 27516
CATEGORIES:2022-23 Interdisciplinary Research Seminars
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DTSTART;TZID=America/New_York:20230210T120000
DTEND;TZID=America/New_York:20230210T130000
DTSTAMP:20260410T043555
CREATED:20230103T163840Z
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UID:127374-1676030400-1676034000@www.cpc.unc.edu
SUMMARY:Stan Ahalt and Jay Aikat\, UNC Data Science Institute
DESCRIPTION:On February 10\, 2023\, Stan Ahalt and Jay Aikat of the UNC Data Science Institute will present as part of the Carolina Population Center’s 2022-2023 Interdisciplinary Research Seminar Series. \nStanley C. Ahalt is the Inaugural Dean of the UNC School of Data Science and Society (SDSS) and a Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. He also serves as Executive Adviser and Domain Scientist for Team Science at the Renaissance Computing Institute (RENCI) at UNC and as Associate Director of Informatics and Data Science (IDSci) in the North Carolina Translational and Clinical Sciences Institute (NC TraCS)\, UNC’s CTSA program. \nJay Aikat is the Senior Associate Dean of the School of Data Science and Society\, and the Chief Operating Officer (COO) at the Renaissance Computing Institute (RENCI)\, a research institute within UNC-Chapel Hill.  She is also a Research Professor in the Department of Computer Science at UNC-Chapel Hill since Dec 2011.
URL:https://www.cpc.unc.edu/event/stan-ahalt-and-jay-aikat-unc-data-science-institute/
LOCATION:Carolina Square Room 2002\, 123 W. Franklin St\, Chapel Hill\, NC\, 27516
CATEGORIES:2022-23 Interdisciplinary Research Seminars
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DTSTART;TZID=America/New_York:20230217T120000
DTEND;TZID=America/New_York:20230217T130000
DTSTAMP:20260410T043555
CREATED:20230103T164212Z
LAST-MODIFIED:20230103T164328Z
UID:127376-1676635200-1676638800@www.cpc.unc.edu
SUMMARY:Caroline Thompson: Modernizing Metrics of Population Cancer Burden
DESCRIPTION:On February 17\, 2023\, Caroline Thompson (Epidemiology) will present “Modernizing Metrics of Population Cancer Burden” as part of the Carolina Population Center’s 2022-2023 Interdisciplinary Research Seminar Series. \nThompson‘s substantive research aims to describe and understand population-level patterns of cancer screening and diagnosis and to identify drivers of disparities in cancer-related healthcare delivery and outcomes across populations. Methodologically\, she is interested in improving the valid research-use of complex\, longitudinal sources of routine healthcare data (e.g.\, medical claims and electronic health records) and the use of quantitative bias analysis to evaluate the impact of suspected sources of systematic error in observational research.
URL:https://www.cpc.unc.edu/event/caroline-thompson-modernizing-metrics-of-population-cancer-burden/
LOCATION:Carolina Square Room 2002\, 123 W. Franklin St\, Chapel Hill\, NC\, 27516
CATEGORIES:2022-23 Interdisciplinary Research Seminars
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DTSTART;TZID=America/New_York:20230224T120000
DTEND;TZID=America/New_York:20230224T130000
DTSTAMP:20260410T043555
CREATED:20230111T143513Z
LAST-MODIFIED:20230111T143513Z
UID:127449-1677240000-1677243600@www.cpc.unc.edu
SUMMARY:Larissa Jennings Mayo-Wilson
DESCRIPTION:On February 24\, 2023\, Larissa Jennings Mayo-Wilson will present as part of the Carolina Population Center’s 2022-2023 Interdisciplinary Research Seminar Series. \n\nLarissa Jennings Mayo-Wilson\, PhD MHS\, is an Associate Professor in the Department of Health Behavior and Department of Maternal and Child Health at the University of North Carolina Gillings School of Global Public Health. She is a sexual and reproductive health behavioral scientist with methodological skills in epidemiology\, biostatistics\, and qualitative science. \nDr. Jennings Mayo-Wilson’s research focuses on improving sexual and reproductive health (SRH)\, including HIV prevention\, in vulnerable adolescents and young adults in the U.S. and sub-Saharan Africa. Specifically\, she is interested in: (i) design and evaluation of economic-strengthening interventions to reduce inequities in HIV/SRH\, including microenterprise\, cash transfers\, savings\, and financial incentives; (ii) analysis of economic and structural causes of disparities in HIV/SRH\, and (iii) use of mobile health technologies to improve implementation and evaluation of HIV/SRH interventions. Her research also examines socio-economic influences on maternal health care-seeking and uptake of assisted reproductive technologies.
URL:https://www.cpc.unc.edu/event/larissa-jennings-mayo-wilson/
LOCATION:Carolina Square Room 2002\, 123 W. Franklin St\, Chapel Hill\, NC\, 27516
CATEGORIES:2022-23 Interdisciplinary Research Seminars
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