BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Department of Social Medicine - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.med.unc.edu/socialmed
X-WR-CALDESC:Events for Department of Social Medicine
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:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250613T120000
DTEND;TZID=America/New_York:20250613T140000
DTSTAMP:20260506T054317
CREATED:20250612T173745Z
LAST-MODIFIED:20250612T173827Z
UID:10000607-1749816000-1749823200@www.med.unc.edu
SUMMARY:ELSI Friday Forum - Rigor\, Reproducibility and Responsibility: ELSI Questions in Population Data Practices
DESCRIPTION:Rigor\, Reproducibility and Responsibility: ELSI Questions in Population Data Practices\nwith speakers Anne Flanagin\, RN\, MA\, FAAN\, Genevieve Wojcik\, PhD\, MHS\, and moderator Aliya Saperstein\, PhD. \nAs large-scale genomic data sets are increasingly linked\, harmonized\, and repurposed across studies\, questions about how to meaningfully define and compare population descriptors have taken on renewed urgency. This panel brings together members of recent National Academies of Sciences\, Engineering\, and Medicine committees and a leading medical journal editor that have offered guidance surrounding the use of population labels in biomedical research. Panelists will explore the scientific and ethical implications of existing classification practices\, the challenges of ensuring analytic rigor across studies that use heterogeneous descriptors\, and the responsibilities of researchers\, funders\, and journals in advancing transparent\, reproducible\, and scientifically rigorous practices. \n\nClick here to register.
URL:https://www.med.unc.edu/socialmed/event/elsi-friday-forum-rigor-reproducibility-and-responsibility-elsi-questions-in-population-data-practices/
LOCATION:Zoom
ORGANIZER;CN="UNC Center for the ELSI of Biotechnology":MAILTO:kriste.kuczynski@unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230120T120000
DTEND;TZID=America/New_York:20230120T130000
DTSTAMP:20260506T054317
CREATED:20221115T163256Z
LAST-MODIFIED:20221205T141008Z
UID:10000586-1674216000-1674219600@www.med.unc.edu
SUMMARY:Beyond the Medical:  Genetic Testing for Social Traits
DESCRIPTION:Virtual Webinar \nhttps://zoom.us/webinar/register/WN_Li3T_5AdQ3alvj5J6EsBLg \nIn traditional predictive genetic testing\, single gene variants are analyzed to determine whether individuals are at high risk of developing disease. The vast majority of diseases\, however\, are polygenic – caused by many different genes. Polygenic risk scores (PRS) hold promise to predict risk for complex diseases like heart disease or diabetes by measuring the contribution of hundreds of genetic variants at once. Yet beyond prediction of medical outcomes\, the realm of ‘sociogenomics’ is developing polygenic scores (PGS) measuring genetic contributions to social traits and behavioral factors\, such as income\, educational attainment\, sexuality\, and optimism. This presentation will present initial findings of a newly-funded NIH grant to study these complex scores. \n  \nAnya Prince is an Associate Professor of Law and member of the University of Iowa Genetics Cluster. Her teaching and research interests explore the ethical\, legal\, and social implications of genomic testing\, with particular focus on genetic discrimination and privacy rights\, the intersection of clinical and research ethics\, and insurance coverage of genetic technologies and interventions. \n \nJean Cadigan is Associate Professor of Social Medicine and a core faculty member in the Center for Bioethics at the University of North Carolina\, Chapel Hill. Her teaching and research interests focus broadly on clinical and research ethics. She primarily conducts empirical studies that focus on the ethical\, legal\, and social implications of genomic research and practice from the point of view of patients\, research participants\, clinicians\, scientists\, and policy makers. \nBTM 2023.01.20 \n  \nSponsored by:
URL:https://www.med.unc.edu/socialmed/event/beyond-the-medical-genetic-testing-for-social-traits/
LOCATION:Zoom
ORGANIZER;CN="Kriste Kuczynski":MAILTO:kriste.kuczynski@unc.edu
END:VEVENT
END:VCALENDAR