Cross-Border Threat Screening and Supply Chain Defense: DHS Center of Excellence (CBTS)

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    R7 - Internal Report on Bayesian Risk Assessment & Management Model Development V0.0
    (Stochastic Geomechanics Laboratory, 21-Feb) Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Alvarado, Juan Pablo; Duran Sierra, Guillermo; Zarate-Losoya, Enrique; Allen, Alexi; United States Department of Homeland Security (DHS)
    Internal report on the development steps for a Risk Assessment and Management model using Bayesian Networks. The objectives of the model include: 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. To address the public health impacts of the COVID-19 pandemic on the U.S.- Mexico health supply chain systems for health infrastructure and for the health of the workforce, considering current and emerging regional social, economic and environmental Risks. 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, U.S.- Mexico health supply chain systems for health infrastructure, and for health of the workforce between U.S. - Mexico.
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    R13-CBTS-SGL Monthly Risk Bulletin September 2020
    (Stochastic Geomechanics Laboratory, 2020-10-26) Zarate-Losoya, Enrique; Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; Alvarado, Juan Pablo; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    The objective of the Monthly Risk-Bulletin is to provide an overview a) of lessons learned during the past month in the project, b) of a score-card-type system to communicate the state of risk of supply chains impacted by COVID-19 supporting health infrastructure and the workforce between the U.S. and Mexico, and c) of a communication system to facilitate the restoration of broken supply chains and the formation of new ones to reactivate trade between U.S. and Mexico.
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    R13-CBTS-SGL Monthly Risk Bulletin October 2020
    (Stochastic Geomechanics Laboratory, 2020-11-03) Zarate-Losoya, Enrique; Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; Alvarado, Juan Pablo; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    The objective of the Monthly Risk-Bulletin is to provide an overview a) of lessons learned during the past month in the project, b) of a score-card-type system to communicate the state of risk of supply chains impacted by COVID-19 supporting health infrastructure and the workforce between the U.S. and Mexico, and c) of a communication system to facilitate the restoration of broken supply chains and the formation of new ones to reactivate trade between U.S. and Mexico.
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    R7 - Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure. Semi-annual Report - Year 1
    (Stochastic Geomechanics Laboratory, 2020-11-24) Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Alvarado, Juan Pablo; Duran Sierra, Guillermo; United States Department of Homeland Security (DHS)
    Semi annual report of R7 project: R7 - Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure. The report lists and details on the activities conducted from June 2020 to November 2020.
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    R13-CBTS-SGL Semi-Annual Report
    (Stochastic Geomechanics Laboratory, 2020-11-24) Zarate-Losoya, Enrique; Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; Alvarado, Juan Pablo; United States Department of Homeland Security (DHS)
    The project's milestones include the integration of a triple-helix Binational Taskforce, production of spatio-temporal near real-time analytics following a risk systems approach, and publication of a monthly U.S.-Mexico COVID-19 Risk bulletin.
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    R13-CBTS-SGL Monthly Risk Bulletin November 2020
    (Stochastic Geomechanics Laboratory, 2020-12-04) Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; Alvarado, Juan Pablo; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    The objective of the Monthly Risk-Bulletin is to provide an overview a) of lessons learned during the past month in the project, b) of a score-card-type system to communicate the state of risk of supply chains impacted by COVID-19 supporting health infrastructure and the workforce between the U.S. and Mexico, and c) of a communication system to facilitate the restoration of broken supply chains and the formation of new ones to reactivate trade between U.S. and Mexico.
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    R13-CBTS-SGL Monthly Risk Bulletin December 2020
    (Stochastic Geomechanics Laboratory, 2020-12-21) Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; Alvarado, Juan Pablo; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    The objective of the Monthly Risk-Bulletin is to provide an overview a) of lessons learned during the past month in the project, b) of a score-card-type system to communicate the state of risk of supply chains impacted by COVID-19 supporting health infrastructure and the workforce between the U.S. and Mexico, and c) of a communication system to facilitate the restoration of broken supply chains and the formation of new ones to reactivate trade between U.S. and Mexico.
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    CBTS-SGL Webinar - Cool Things That One Can Do With Graphical Probabilistic Models - Dr. Marek Drudzel
    (Stochastic Geomechanics Laboratory, 2021-01-12) Drudzel, Marek; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; United States Department of Homeland Security (DHS)
    On January, 2021 the CBTS COE and the Stochastic Geomechanics Laboratory (SGL) organized a webinar with Dr. Marek Drudzel as a guest speaker to give a presentation on graphical probabilistic models, and their potential applications to real-world problems. The talk reviewed briefly the theoretical foundations of Bayesian networks and their applications to practical problems. Dr. Drudzel showed several flavors of Bayesian networks, such as discrete, continuous, and hybrid networks, as well as qualitative, and dynamic networks. He also reviewed some applications of Bayesian network models in diagnosis, prognosis, data analysis, and strategic planning. Part of the talk was based on live demonstration of the concepts using GeNIe, a software developed originally in Dr. Druzdzel's lab at the University of Pittsburgh.
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    R13-CBTS-SGL Monthly Risk Bulletin January 2021
    (Stochastic Geomechanics Laboratory, 2021-02-12) Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; Alvarado, Juan Pablo; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    The objective of the Monthly Risk-Bulletin is to provide an overview a) of lessons learned during the past month in the project, b) of a score-card-type system to communicate the state of risk of supply chains impacted by COVID-19 supporting health infrastructure and the workforce between the U.S. and Mexico, and c) of a communication system to facilitate the restoration of broken supply chains and the formation of new ones to reactivate trade between U.S. and Mexico.
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    CBTS-SGL Webinar - The U.S. Census Bureau's Community Resilience Estimates- Dr. Bethany DeSalvo
    (Stochastic Geomechanics Laboratory, 2021-03-03) DeSalvo, Bethany; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; United States Department of Homeland Security (DHS)
    On March, 2021 the CBTS COE, and the Stochastic Geomechanics Laboratory (SGL) organized a webinar with Dr. Bethany DeSalvo from the U.S. Census Bureau as a guest speaker to present the methodology behind the Community Resilience Estimates (CRE). The CRE provide an easily understood metric for how at-risk every neighborhood in the United States is to the impacts of COVID-19. This metric uses granular data to measure the individual and community's ability to respond to the effects of the pandemic. Information from the CRE could be easily utilized by policy makers to inform vaccine distribution, where to provide education on public health standards, and pinpoint areas that are at a greater risk of inequitable incomes.
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    R13-CBTS-SGL Monthly Risk Bulletin February 2021
    (Stochastic Geomechanics Laboratory, 2021-03-03) Zarate-Losoya, Enrique; Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; Alvarado, Juan Pablo; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    The objective of the Monthly Risk-Bulletin is to provide an overview a) of lessons learned during the past month in the project, b) of a score-card-type system to communicate the state of risk of supply chains impacted by COVID-19 supporting health infrastructure and the workforce between the U.S. and Mexico, and c) of a communication system to facilitate the restoration of broken supply chains and the formation of new ones to reactivate trade between U.S. and Mexico.
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    Actionable Information - Research Briefs - 1- Vaccination
    (Stochastic Geomechanics Laboratory, 2021-03-24) Zarate-Losoya, Enrique; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; Duran Sierra, Guillermo; Alvarado, Juan Pablo; United States Department of Homeland Security (DHS)
    Five research problems to identify evidence sources and provide initial validation of the risk framework model and data lake have been identified. We focused on COVID-19 Vaccination in the United States and Mexico as the predominant mitigating action. In addition to reliable sources of information, we've identified preordered vaccine supply, its main supply chain elements, and the critical facilities involved in the manufacturing and distribution of millions of doses. In this document we present an initial assessment and findings for this mitigating action.
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    R13-CBTS-SGL Monthly Risk Bulletin March 2021
    (Stochastic Geomechanics Laboratory, 2021-04-14) Zarate-Losoya, Enrique; Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; Alvarado, Juan Pablo; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    The objective of the Monthly Risk-Bulletin is to provide an overview a) of lessons learned during the past month in the project, b) of a score-card-type system to communicate the state of risk of supply chains impacted by COVID-19 supporting health infrastructure and the workforce between the U.S. and Mexico, and c) of a communication system to facilitate the restoration of broken supply chains and the formation of new ones to reactivate trade between U.S. and Mexico.
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    CBTS- TAMU-SGL R-13 Project: U.S.-Mexico Risk Taskforce to Support the Health Supply Chain Systems Video
    (Stochastic Geomechanics Laboratory, 2021-04-29) Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Perez-Patron, Maria Jose; Zarate-Losoya, Enrique; Duran Sierra, Guillermo; Alvarado, Juan Pablo; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    R-13 CBTS-TAMU is a strategic collaboration to improve supply-chain resilience and sustainability on multi-sectorial trade between U.S. and Mexico. The project's milestones include the integration of a triple-helix Binational Taskforce, production of spatio-temporal near real-time analytics following a risk systems approach, and publication of a monthly U.S.-Mexico COVID-19 Risk bulletin.
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    Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure - Presentation video
    (Stochastic Geomechanics Laboratory, 2021-04-29) Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    Video created for the R7 project: Project: Model Development for Risks posed by COVID-19 on U.S. Trade supply chains Infrastructure. The video presents the main objectives of the project, as well, as the Risk Assessment Framework, and methods to fulfill them
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    Actionable Information - Research Briefs - 2 - U.S. and Mexico COVID-19 Dashboards
    (Stochastic Geomechanics Laboratory, 2021-04-30) Alvarado, Juan Pablo; Allen, Alexi; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Zarate-Losoya, Enrique; United States Department of Homeland Security (DHS)
    States in the U.S. have produced COVID-19 dashboards to communicate the status of the pandemic to the population. This research brief presents a summary of the available dashboards for the U.S. and Mexico states. Additionally a map of the U.S. is presented with the total number of variables that are reported in the state dashboard(s).
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    Actionable Information - Research Briefs - 3 - Analysis on U.S. States COVID-19 Dashboards
    (Stochastic Geomechanics Laboratory, 2021-05-01) Alvarado, Juan Pablo; Allen, Alexi; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Zarate-Losoya, Enrique; United States Department of Homeland Security (DHS)
    Covid-19 dashboards developed by state authorities in the U.S. present different variables to communicate the status and evolution of the pandemic in their territories. This research brief summarizes the different platforms used to develop the dashboards. Also, the brief includes an analysis on the dashboard contents in terms of total number of variables, type of variables, number of variables per risk component (i.e. Threats, Vulnerable Systems, Impacts, States of Risk, Mitigating Strategies). Finally, the number of variables per risk component are compared to COVID-19 metrics such as daily cases, and daily deaths (per 100K population) in order to identify how the risk communication in the dashboards impact the management of the pandemic.
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    R13-CBTS-SGL Monthly Risk Bulletin April 2021
    (Stochastic Geomechanics Laboratory, 2021-05-10) Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; Alvarado, Juan Pablo; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    The objective of the Monthly Risk-Bulletin is to provide an overview a) of lessons learned during the past month in the project, b) of a score-card-type system to communicate the state of risk of supply chains impacted by COVID-19 supporting health infrastructure and the workforce between the U.S. and Mexico, and c) of a communication system to facilitate the restoration of broken supply chains and the formation of new ones to reactivate trade between U.S. and Mexico.
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    Actionable Information - Research Briefs - 5 - Summary and Assessment of Weather Information Services
    (Stochastic Geomechanics Laboratory, 2021-05-11) Allen, Alexi; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Alvarado, Juan Pablo; Zarate-Losoya, Enrique; United States Department of Homeland Security (DHS)
    This research brief includes a summary of various weather information services, detailing the procedures followed to obtain and generate data, and a breakdown of the information provided. Based on this information, the services were qualitatively assessed to determine the most fitting one (s) in the production of risk analytics for supply chains impacted by natural Threats
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    Actionable Information - Research Briefs - 4 - Literature Review on the Impact of Natural Threats on Supply Chains
    (Stochastic Geomechanics Laboratory, 2021-05-11) Allen, Alexi; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Alvarado, Juan Pablo; Zarate-Losoya, Enrique; United States Department of Homeland Security (DHS)
    A literature review was conducted in order to identify the most impactful effects of natural hazards on the operation of supply chains. The review considered the body of research produced about this topic including the distribution of scientific documents produced by year, and the number of mentions of different natural threats in them.