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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.creatorAlvarado, Juan Pablo
dc.creatorDuran Sierra, Guillermo
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.date.accessioned2021-11-16T20:03:37Z
dc.date.available2021-11-16T20:03:37Z
dc.date.issued2021-05-21
dc.identifier.citationAlvarado, J., Duran, G., Medina-Cetina, Z., Pompelli, G., Cochran, M., Zarate-Losoya, E., Allen, A., Audrey, G., Acosta, A. (2021). 2021 COE Summit Student Poster - Model Development for Bayesian Risk Assessment and Management of Supply Chains Impacted by COVID-19 and Other Converging Threats [Video]. YouTube. https://doi.org/10.21423/sgl.coevideo-20210521en
dc.identifier.urihttps://hdl.handle.net/1969.1/194929
dc.description.abstractCOVID-19 has generated disruptions on supply chains across the world with impacts reflected in shortage, or delay of supplies, accompanied by strong shifts of demand for several economic sectors. Under such a disruption, the challenge is to address the social, environmental, and economic impacts on U.S. Supply Chain infrastructure, and identify critical nodes and processes in order to protect and restore the supply chains for an uninterrupted flow of supplies and materials critical to Homeland Security.en
dc.description.sponsorshipDHS Award Number 18STCBT00001-04-00 and CFDA Number 97.061en
dc.format5:02 min
dc.language.isoeng
dc.publisherStochastic Geomechanics Laboratory
dc.rightsIn Copyrighten
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/?language=en
dc.subjectDHS COE Summiten
dc.subjectResearch postersen
dc.subjectVideoen
dc.subject.lcshCOVID-19 (Disease)--Economic aspectsen
dc.subject.lcshBusiness logistics--United Statesen
dc.subject.lcshRisk assessment--Mathematical modelsen
dc.subject.lcshRisk management--Mathematical modelsen
dc.titleModel Development for Bayesian Risk Assessment and Management of Supply Chains Impacted by COVID-19 and Other Converging Threats - Presentation Recordingen
dc.typeVideoen
dc.typePresentationen
dc.typeStudent Projecten
dc.contributor.sponsorUnited States Department of Homeland Security (DHS)
dc.type.genreResearch postersen
dc.type.materialMovingImageen
dc.format.digitalOriginborn digitalen
local.departmentCivil Engineeringen
dc.identifier.doihttps://doi.org/10.21423/sgl.coevideo-20210521


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