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X-ORIGINAL-URL:https://bigdata.sc.edu
X-WR-CALDESC:Events for USC Big Data Health Science Center
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TZOFFSETFROM:+0000
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DTSTART:20200101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20231207T100000
DTEND;TZID=UTC:20231207T110000
DTSTAMP:20260419T152140
CREATED:20231128T194951Z
LAST-MODIFIED:20231128T195024Z
UID:7212-1701943200-1701946800@bigdata.sc.edu
SUMMARY:A Bayesian Machine Learning Approach for Estimating Heterogeneous Survivor Causal Effects: Applications To a Critical Care Trial
DESCRIPTION:Registration is required. Please register here.
URL:https://bigdata.sc.edu/event/a-bayesian-ml-approach-for-estimating-heterogeneous-survivor-causal-effects-applications-to-a-critical-care-trial/
LOCATION:Koger Center for the Arts\, Gallery Room\, 1051 Greene St\, Columbia\, SC\, 29201\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20231129T110000
DTEND;TZID=UTC:20231129T120000
DTSTAMP:20260419T152140
CREATED:20231101T164924Z
LAST-MODIFIED:20231101T164924Z
UID:7082-1701255600-1701259200@bigdata.sc.edu
SUMMARY:Place Matters: Utility of Geospatial Data in Health Research
DESCRIPTION:Registration required. Register here. https://us02web.zoom.us/webinar/register/WN_899MmYukTsSvvV5RYkRDkg. \n \nThe increasing focus on health equity research will require projects that examine and address the geographic contexts where we live\, work\, and play. Such contexts are important drivers of health inequities given that the characteristics of neighborhoods and other spaces have been driven by historic and current structural inequities. This seminar will provide an orientation to spatial framing and methods\, including traditional and emerging spatial methodologies such as global positioning systems (GPS) and location aware technologies. \nDr. Katherine Theall is a Professor at Tulane University’s School of Public Health and Tropical Medicine\, Senior Director of the Tulane Violence Prevention Institute and Director of the Mary Amelia Center for Women’s Health Equity Research. As a social and spatial epidemiologist\, her research focuses on reducing health inequities by understanding and altering neighborhood environments and social policies in underserved populations locally\, nationally\, and internationally. She has been PI or co-PI of more than 25 federally- and privately-supported research and training awards and has a highly interdisciplinary background\, with educational and practical experience in social/spatial epidemiology and community health and prevention sciences. Her work involves close collaboration with both state and city governments as well as international partners\, where she has been involved in research\, programming\, and translational efforts to improve health equity and well-being.
URL:https://bigdata.sc.edu/event/place-matters-utility-of-geospatial-data-in-health-research/
LOCATION:Virtual
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20231025T113000
DTEND;TZID=UTC:20231025T123000
DTSTAMP:20260419T152140
CREATED:20231002T184027Z
LAST-MODIFIED:20231002T184027Z
UID:7023-1698233400-1698237000@bigdata.sc.edu
SUMMARY:The Rhino Federated Computing Platform Unlocks the World's Data Silos for Collaborative Research
DESCRIPTION:Please join us for our October 25th (11:30-12:30) Big Data seminar featuring Dr. Malhar Patel\, Director of Clinical Engagement at Rhino Health. \nRegister for this free virtual event at https://us02web.zoom.us/webinar/register/WN_yYq0S83RT0693cpOXjkiig
URL:https://bigdata.sc.edu/event/the-rhino-federated-computing-platform-unlocks-the-worlds-data-silos-for-collaborative-research/
LOCATION:Virtual
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230830T103000
DTEND;TZID=UTC:20230830T113000
DTSTAMP:20260419T152140
CREATED:20230728T132543Z
LAST-MODIFIED:20230728T132848Z
UID:6698-1693391400-1693395000@bigdata.sc.edu
SUMMARY:Utilizing Big Spatiotemporal Data to Understand COVID and its Impact
DESCRIPTION:Utilizing Big Spatiotemporal Data to Understand COVID and its Impacts by Dr. Chaowei Phil Yang\n\nEvent Time: Wednesday August 30\, 2023 @10:30-11:30am\nEvent Address: Discovery Building\, Rm 140 (915 Greene St\, Columbia\, SC 29201)\nPlease register here.Spatiotemporal
URL:https://bigdata.sc.edu/event/utilizing-big-spatiotemporal-data-to-understand-covid-and-its-impact/
LOCATION:Room 140\, Discovery I\, 915 Greene Street\, Columbia\, SC\, 29208\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230322T120000
DTEND;TZID=UTC:20230322T130000
DTSTAMP:20260419T152140
CREATED:20230224T171652Z
LAST-MODIFIED:20230301T134246Z
UID:5981-1679486400-1679490000@bigdata.sc.edu
SUMMARY:An Overview of the Federal Statistical Research Data Centers
DESCRIPTION:
URL:https://bigdata.sc.edu/event/an-overview-of-the-federal-statistical-research-data-centers/
LOCATION:Zoom Webinar
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230125T130000
DTEND;TZID=UTC:20230125T140000
DTSTAMP:20260419T152140
CREATED:20230112T155001Z
LAST-MODIFIED:20230112T161558Z
UID:5800-1674651600-1674655200@bigdata.sc.edu
SUMMARY:BDHSC Pilot Project Showcase Part 2
DESCRIPTION:Please join us for a Big Data seminar showcasing 4 of our 2021 pilot project recipients. Speakers will discuss their research questions\, data\, methods\, and future directions. This event is free and boxed lunch will be provided on a first come first served basis. Register at https://forms.gle/RoryZogDVET3FCRF9.
URL:https://bigdata.sc.edu/event/bdhsc-pilot-project-showcase-2/
LOCATION:Room 140\, Discovery I\, 915 Greene Street\, Columbia\, SC\, 29208\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221207T110000
DTEND;TZID=UTC:20221207T120000
DTSTAMP:20260419T152140
CREATED:20221128T162509Z
LAST-MODIFIED:20221130T150334Z
UID:5425-1670410800-1670414400@bigdata.sc.edu
SUMMARY:Learning Individualized Treatment Rules with Many Treatments
DESCRIPTION:Please join us on December 7 for a virtual seminar “Learning Individualized Treatment Rules with Many Treatments” by Dr. Yufeng Liu\, the University of North Carolina at Chapel Hill. This seminar is hosted by our Electronic Health Records Core. \nRegistration required. Please REGISTER HERE
URL:https://bigdata.sc.edu/event/learning-individualized-treatment-rules-with-many-treatments/
LOCATION:Virtual
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211215T110000
DTEND;TZID=UTC:20211215T120000
DTSTAMP:20260419T152140
CREATED:20211129T153838Z
LAST-MODIFIED:20211129T154115Z
UID:4215-1639566000-1639569600@bigdata.sc.edu
SUMMARY:Cytotoxic T-Cells: Nature's Assassins or something more?
DESCRIPTION:Date: Wednesday\, December 15Time: 11:00am – 12:00pm (lunch provided to in-person attendees)Location: Discovery I\, Room 331 (virtual option available) \nRegister for in-person (limited seating) at https://bit.ly/3d0yb6GRegister for virtual attendance at https://bit.ly/31d8ld6 \nSeminar Description:Cytotoxic (CD8+) T-cells are mainly known for their role in killing infected and cancerous cells however\, recent evidence suggest that this cell population also plays a major role in the post-myocardial infarction (MI) remodeling process. Our lab has indicted that these cells likely have both a beneficial and detrimental role possibly due to temporal-dependent heterogeneity. Our goal is to dissect the role of cytotoxic T-cells over the post-MI time course and determine targets as a potential therapy to prevent development of heart failure. \nSpeaker Info:Dr. DeLeon-Pennell is an Assistant Professor in the Division of Cardiology at the Medical University of South Carolina (MUSC). She received her PhD in 2011 at Baylor University and was trained in cardiac physiology at the University of Texas Health Science Center San Antonio and the University of Mississippi Medical Center. Her research is focused on dissecting the interplay of pre-existing variables such as chronic inflammation\, sex\, and age on cardiovascular events. This includes dissecting the influence of the innate and adaptive immune system on cardiovascular remodeling\, understanding the dynamics and function of bio-molecules involved in cardiac remodeling\, and utilizing the knowledge acquired to develop therapeutic strategies to prevent\, slow\, or reverse the progression to heart failure.
URL:https://bigdata.sc.edu/event/cytotoxic-t-cells-natures-assassins-of-something-more/
LOCATION:SC
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211117T110000
DTEND;TZID=UTC:20211117T120000
DTSTAMP:20260419T152140
CREATED:20211029T175319Z
LAST-MODIFIED:20211101T132946Z
UID:4174-1637146800-1637150400@bigdata.sc.edu
SUMMARY:Employing Social Media to Improve Mental Health: Pitfalls\, Lessons Learned\, and the Next Frontier
DESCRIPTION:The BDHSC Social Media Core is hosting Dr. Munmun De Choudhurry for a virtual seminar titled “Employing Social Media to Improve Mental Health: Pitfalls\, Lessons Learned\, and the Next Frontier”. \nThe seminar will be held virtually via Zoom on November 17\, 2021 from 11:00am-12:00pm.  \nRegister at https://bit.ly/3bucMln \nAbout the Seminar: Social media data is being increasingly used to computationally learn about and infer the mental health states of individuals and populations. Despite being touted as a powerful means to shape interventions and impact mental health recovery\, we understand little about the theoretical\, domain\, and psychometric validity of this novel information source\, or its underlying biases\, when appropriated to augment conventionally gathered data\, such as surveys and verbal self-reports. \nThis talk presents a critical analytic perspective on the pitfalls of social media signals of mental health\, especially when they are derived from “proxy” diagnostic indicators\, often removed from the real-world context in which they are likely to be used. To overcome these pitfalls\, this talk presents results from two case studies (forecasting schizophrenia relapse and populational-level rates of suicide fatalities)\, where machine learning algorithms to glean mental health insights from social media were developed in a context-sensitive and human-centered way\, in collaboration with domain experts and stakeholders. \nThe talk concludes with discussions of the path forward\, emphasizing the need for a collaborative\, multi-disciplinary research agenda while realizing the potential of social media data and machine learning in mental health — one that incorporates methodological rigor\, ethics\, and accountability\, all at once. \nAbout the Speaker: Munmun De Choudhury is an Associate Professor of Interactive Computing at Georgia Tech. Dr. De Choudhury is best known for laying the foundation of a line of research that develops computational techniques to responsibly and ethically employ social media in understanding and improving our mental health. To do this work\, she adopts a highly interdisciplinary approach\, combining social computing\, machine learning\, and natural language analysis with insights and theories from the social\, behavioral\, and health sciences. Dr. De Choudhury has been recognized with the 2021 ACM-W Rising Star Award\, 2019 Complex Systems Society – Junior Scientific Award\, numerous best paper and honorable mention awards from the ACM and AAAI\, and features and coverage in popular press like the New York Times\, the NPR\, and the BBC. Earlier\, Dr. De Choudhury was a faculty associate with the Berkman Klein Center for Internet and Society at Harvard\, a postdoc at Microsoft Research\, and obtained her PhD in Computer Science from Arizona State University.
URL:https://bigdata.sc.edu/event/employing-social-media-to-improve-mental-health-pitfalls-lessons-learned-and-the-next-frontier/
LOCATION:SC
CATEGORIES:Seminar
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