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dc.contributorCross-Border Threat Screening and Supply Chain Defense (CBTS)
dc.contributorTexas A & M University. Department of Civil Engineering
dc.contributorTexas A & M University. College of Engineering
dc.coverage.spatialUnited Statesen
dc.coverage.spatialMexicoen
dc.creatorMedina-Cetina, Zenon
dc.creatorPompelli, Gregory
dc.creatorCochran, Matt
dc.creatorZarate-Losoya, Enrique
dc.creatorAllen, Alexi
dc.creatorGuzman, Audrey
dc.creatorLopez-Acosta, Araceli
dc.creatorAlvarado, Juan Pablo
dc.creatorDuran Sierra, Guillermo
dc.date.accessioned2021-11-16T20:03:33Z
dc.date.available2021-11-16T20:03:33Z
dc.date.issued2021-09-01
dc.identifier.citationMedina Cetina, Z., Pompelli, Gregory., Cochran, Matt., Alvarado, Juan Pablo., Duran, Guillermo., Zarate-Losoya, Enrique., & Lopez-Acosta, Araceli (2021). R7-CBTS-SGL Project Website. https://doi.org/10.21423/sgl.r7website-20210901en
dc.identifier.urihttps://hdl.handle.net/1969.1/194922
dc.descriptionImage of the website as it appeared on September 1, 2021en
dc.description.abstractHome page screen capture of the website dedicated to the R7 project: Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure. The milestones of the project are: 1. To generate a risk-guided platform to provide access to datasets, predictive models and experts opinions, to produce evidence-based support on the causes and effects posed by COVID19 on the U.S. trade supply chain infrastructure. 2. To formulate a comprehensive risk assessment model, mapping qualitatively participating processes needed to simulate prognosis and diagnosis scenarios of social, economic and environmental impacts posed by COVID19 on the U.S. trade supply chain infrastructure. 3. To generate risk-mitigating strategies based on resiliency and sustainability supported by evidence collection and the associate risk assessment model, to address causes and effects posed by COVID19 on the U.S. trade supply chain infrastructure.en
dc.description.sponsorshipDHS Award Number 18STCBT00001-04-00 and CFDA Number 97.061en
dc.format3 pages
dc.language.isoeng
dc.publisherStochastic Geomechanics Laboratory
dc.rightsIn Copyrighten
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/?language=en
dc.subjectSupply Chain Networken
dc.subject.lcshCOVID-19 (Disease)--Economic aspectsen
dc.subject.lcshBusiness logisticsen
dc.subject.lcshRisk assessment--Mathematical modelsen
dc.subject.lcshRisk management--Mathematical modelsen
dc.subject.lcshWebsiteen
dc.titleWebsite of R7 - Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructureen
dc.typeImageen
dc.typeWebsite screen captureen
dc.contributor.sponsorUnited States Department of Homeland Security (DHS)
dc.type.materialTexten
dc.type.materialStillImageen
dc.format.digitalOriginborn digitalen
local.departmentCivil Engineeringen
dc.identifier.doihttps://doi.org/10.21423/sgl.r7website-20210901


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