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DTSTART;TZID=America/New_York:20260303T100000
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CREATED:20260216T211234Z
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UID:10000277-1772532000-1772535600@cnr.ncsu.edu
SUMMARY:Geospatial Analytics Dissertation Defense: Stacie Reckling
DESCRIPTION:Title: Geospatial Analyses to Assess Population Demographics and Representativeness in Wastewater-Based Public Health Surveillance \nAdvisor: Dr. Helena Mitasova\, distinguished faculty fellow and professor in the Department of Marine\, Earth and Atmospheric Sciences \nAbstract: Wastewater-based public health surveillance analyzes untreated wastewater to detect human pathogens\, providing timely information about diseases circulating in a community. After expanding rapidly during the COVID-19 pandemic\, it has become a nationwide system for monitoring common respiratory viruses and emerging threats such as measles. Despite its growing utility\, populations included in wastewater surveillance remain poorly defined. We demonstrate how to create sewershed polygons to define the wastewater sample area. Then we use sewersheds to characterize wastewater-monitored populations and assess whether they are representative of broader populations. We found that in some states\, wastewater-monitored populations reflect the statewide population\, while in others\, they include higher proportions of minorities and are more socially vulnerable\, despite also having higher educational attainment and median household income. Connecting sewershed population information to wastewater data strengthens our ability to transform wastewater into public health action.
URL:https://cnr.ncsu.edu/geospatial/event/geospatial-analytics-dissertation-defense-stacie-reckling/
LOCATION:Jordan Hall 5103\, 2800 Faucette Drive\, Raleigh\, NC\, 27695\, United States
CATEGORIES:Geospatial Analytics Dissertation Defense
GEO:35.7816765;-78.6761854
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DTSTART;TZID=America/New_York:20260305T150000
DTEND;TZID=America/New_York:20260305T160000
DTSTAMP:20260503T122418
CREATED:20250715T143035Z
LAST-MODIFIED:20260312T194222Z
UID:10000256-1772722800-1772726400@cnr.ncsu.edu
SUMMARY:Geospatial Forum: Dr. Christa Brelsford - Los Alamos National Laboratory
DESCRIPTION:Urban Heterogeneity Measurements\, Forecasts\, and Uses \nSpeaker: Dr. Christa Brelsford\, Research Scientist\, Los Alamos National Laboratory \nHosted by: Dr. Mollie Gaines\, Postdoctoral Research Scholar\, FER \nSummary: How do we measure connectivity in urban environments? How much heterogeneity in urban environments is to be expected? To what extent is the built environment shaped by socioeconomic processes\, and vice versa? In this talk\, Dr. Brelsford will present research exploring the causes\, consequences\, and determinants of the urban built environment and urban heterogeneity. She will describe a handful of methods useful for quantifying urban heterogeneity\, present an example of a multi-objective optimization framework for describing risk along hydrologic\, economic\, and social dimensions\, and then demonstrate an approach for quantifying trade-offs between different objectives when designing observation networks of the system. \nAbout the speaker: Christa Brelsford is a Research Scientist at Los Alamos National Laboratory. Previously\, she was the Liane Russell Fellow at Oak Ridge National Laboratory and a Postdoctoral Fellow at the Santa Fe Institute. She obtained her Ph.D. from the School of Sustainability at Arizona State University in 2014 for research on the determinants of residential water demand. Brelsford’s core research focus is on developing empirical methods to understand interactions between human and physical systems\, especially in urban contexts. \nRecording: https://youtu.be/mZMFN8pveyM
URL:https://cnr.ncsu.edu/geospatial/event/geospatial-forum-dr-christa-brelsford-los-alamos-national-laboratory/
LOCATION:Jordan Hall 5111\, 2800 Faucette Drive\, Raleigh\, NC\, 27695\, United States
CATEGORIES:Geospatial Forum
GEO:35.7816765;-78.6761854
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DTSTART;TZID=America/New_York:20260306T140000
DTEND;TZID=America/New_York:20260306T150000
DTSTAMP:20260503T122418
CREATED:20260225T220417Z
LAST-MODIFIED:20260225T220417Z
UID:10000278-1772805600-1772809200@cnr.ncsu.edu
SUMMARY:Geospatial Analytics Dissertation Defense: Christopher Dunstan
DESCRIPTION:Title: Dancing with Data: Geospatial Analytics for Tracing Innovation in Urban Dance Culture\n \nAdvisors: Dr. Aaron Hipp\, faculty fellow and professor in Parks\, Recreation and Tourism Management & Dr. Laura Tateosian\, faculty fellow and associate teaching professor in the Center for Geospatial Analytics \nAbstract: Culturally innovative dance forms convey identity through movement\, but the rapid spread of new styles on social media obstructs the recognition and intellectual property claims of original creators. Geospatial analytics and data mining tools offer a tracing framework by analyzing social media conversations\, networks\, and videos. However\, applying quantitative tools to subjective art forms introduces significant methodological and ethical challenges. This dissertation engages with these problems through three studies: analyzing the spatiotemporal diffusion of the dance known as Flexn through using the Diffusion of Innovation theory\, constructing a dance-based African American Vernacular corpus to refine NLP models\, and quantifying core performance elements in breakdance competitions. This dissertation showcases a critical framework that balances computing with ethical rigor to protect dance innovators.
URL:https://cnr.ncsu.edu/geospatial/event/geospatial-analytics-dissertation-defense-dunstan/
LOCATION:Jordan Hall 5103\, 2800 Faucette Drive\, Raleigh\, NC\, 27695\, United States
CATEGORIES:Geospatial Analytics Dissertation Defense
GEO:35.7816765;-78.6761854
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