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X-WR-CALDESC:Events for USC Big Data Health Science Center
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DTSTART:20200101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20210308
DTEND;VALUE=DATE:20210311
DTSTAMP:20260407T202931
CREATED:20210312T160048Z
LAST-MODIFIED:20210312T171709Z
UID:3536-1615161600-1615420799@bigdata.sc.edu
SUMMARY:Technology Hub Event- UofSC ITT Lab Innovation Think Tank Certification Program
DESCRIPTION:The University of South Carolina (UofSC) Innovation Think Tank (ITT) Lab is organizing a virtual Innovation Think Tank Certification Program (ITT CP)which will be held on March 8-10\, 2021 with the purpose to develop innovative solutions for real world problems in healthcare and related sectors. This event is a part of BDHSC Technology Hub’s activities. ITT CP is an experiential learning program based on the Innovation Think Tank Approach and structure developed by Sultan Haider\, Founder and Head at Siemens Healthineers Innovation Think Tank; Program Director at the UofSC ITT Lab\, with unique experience of executing innovation infrastructures\, ITT programs and labs at Siemens Healthineers and a number of prestigious institutions worldwide adaptable to changing business and research environments. At the program\, the participants will learn co-implementation methodologies and approaches working on real-life challenges of global healthcare systems. It is open to all university undergraduate and graduate students enrolled at any university in the U.S. and from any program of study or concentration. Deadline for Application is March 1st 2021. 
URL:https://bigdata.sc.edu/event/technology-hub-event-itt-lab-ittcp/
LOCATION:Virtual
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BEGIN:VEVENT
DTSTART;TZID=UTC:20210318T110000
DTEND;TZID=UTC:20210318T123000
DTSTAMP:20260407T202931
CREATED:20210303T203723Z
LAST-MODIFIED:20210309T185810Z
UID:3466-1616065200-1616070600@bigdata.sc.edu
SUMMARY:Tales from the Botanical Crypt: How Digitized Herbarium Collections Can Provide New Avenues for Salient Research
DESCRIPTION:Seminar Description:Join Dr. Herrick Brown\, Curator of the A.C. Moore Herbarium for this virtual seminar. \nVast amounts of biodiversity data lie safely tucked behind closed doors in natural history collections across the globe. Until recently these collections remained largely inaccessible to the general public. Even specialized research involving the collections was difficult and progressed at a glacial pace. \nThese challenges were addressed by over 100 herbaria across the Southeastern United States in an NSF-funded\, collaborative project to digitize an estimated 4.7 million specimens. Designed to facilitate research based on these primary reference materials\, the project has exceeded its goal and currently offers over 5.1 million specimen records and counting. \nThe breadth of research topics based on these data has expanded from traditional taxonomic investigations to AI; and emerging studies involving rare species conservation\, biogeography\, and climate change continue to make use of this growing data set. Herbarium specimen data may also have some relevance involving public health. For instance\, documented phenological shifts may help predict the beginning and duration of seasonal allergens associated with pollen dispersal. Species distribution models using forecast climate conditions may help predict emerging areas where allergenic species were not previously known to occur. \nWhere: Via Zoom \nWhen: Thursday\, March 18th from 11:00-12:30pm \nRegister in advance for this webinar: https://us02web.zoom.us/webinar/register/WN_TvG6RTahTsOcB3n-FcJodQ
URL:https://bigdata.sc.edu/event/tales-from-the-botanical-crypt-how-digitized-herbarium-collections-can-provide-new-avenues-for-salient-research/
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BEGIN:VEVENT
DTSTART;TZID=UTC:20210324T110000
DTEND;TZID=UTC:20210324T123000
DTSTAMP:20260407T202931
CREATED:20210215T172135Z
LAST-MODIFIED:20210309T185306Z
UID:3327-1616583600-1616589000@bigdata.sc.edu
SUMMARY:Seminar Series: Twitter-derived measures of sentiment towards minorities and associations with adverse birth outcomes and cardiovascular disease by Dr. Quynh Nguyen
DESCRIPTION:Seminar Description:Interpersonal and structural racial bias are leading explanations for the continuing racial disparities in birth outcomes but research to confirm the role of racism has been hampered by challenges in both measuring racial bias and evaluating its impact. \nWe use Twitter data to characterize area-level racial hostility and examine the associations with adverse birth and cardiovascular outcomes. In this webinar\, we cover  Twitter data collection and processing\, sentiment analysis\, and use of machine learning to classify tweets for racist content. \nUse of nontraditional data sources like Twitter has the potential to lead to greater tracking of area-level racial bias and to provide essential information needed to develop interventions to reduce the impact of racial bias on health. \nAbout the Speaker: Dr. Quynh Nguyen\, PhD\, MSPH\, is an assistant Professor of Epidemiology and Biostatistics at the University of Maryland School of Public Health. Her current research program focused on creating and validating neighborhood indicators constructed form nontraditional Big Data sources such as social media data and Google Street view images.  \nRegister Here:https://us02web.zoom.us/webinar/register/WN_8wJJ_X0IQyqHfzpXRO7PRg
URL:https://bigdata.sc.edu/event/seminar-series-twitter-derived-measures-of-sentiment-towards-minorities-and-associations-with-adverse-birth-outcomes-and-cardiovascular-disease-by-dr-quynh-nguyen/
LOCATION:Zoom Webinar
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