dc.contributor | Cross-Border Threat Screening and Supply Chain Defense (CBTS) | |
dc.contributor | Texas A & M University. Department of Civil Engineering | |
dc.contributor | Texas A & M University. College of Engineering | |
dc.coverage.spatial | United States | en |
dc.coverage.spatial | Mexico | en |
dc.creator | Medina-Cetina, Zenon | |
dc.creator | Pompelli, Gregory | |
dc.creator | Cochran, Matt | |
dc.creator | Zarate-Losoya, Enrique | |
dc.creator | Allen, Alexi | |
dc.creator | Guzman, Audrey | |
dc.creator | Lopez-Acosta, Araceli | |
dc.creator | Alvarado, Juan Pablo | |
dc.creator | Duran Sierra, Guillermo | |
dc.date.accessioned | 2021-11-16T20:03:33Z | |
dc.date.available | 2021-11-16T20:03:33Z | |
dc.date.issued | 2021-09-01 | |
dc.identifier.citation | Medina 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-20210901 | en |
dc.identifier.uri | https://hdl.handle.net/1969.1/194922 | |
dc.description | Image of the website as it appeared on September 1, 2021 | en |
dc.description.abstract | Home 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.sponsorship | DHS Award Number 18STCBT00001-04-00 and CFDA Number 97.061 | en |
dc.format | 3 pages | |
dc.language.iso | eng | |
dc.publisher | Stochastic Geomechanics Laboratory | |
dc.rights | In Copyright | en |
dc.rights.uri | https://rightsstatements.org/page/InC/1.0/?language=en | |
dc.subject | Supply Chain Network | en |
dc.subject.lcsh | COVID-19 (Disease)--Economic aspects | en |
dc.subject.lcsh | Business logistics | en |
dc.subject.lcsh | Risk assessment--Mathematical models | en |
dc.subject.lcsh | Risk management--Mathematical models | en |
dc.subject.lcsh | Website | en |
dc.title | Website of R7 - Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure | en |
dc.type | Image | en |
dc.type | Website screen capture | en |
dc.contributor.sponsor | United States Department of Homeland Security (DHS) | |
dc.type.material | Text | en |
dc.type.material | StillImage | en |
dc.format.digitalOrigin | born digital | en |
local.department | Civil Engineering | en |
dc.identifier.doi | https://doi.org/10.21423/sgl.r7website-20210901 | |