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

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http://hdl.handle.net/1969.1/194966

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

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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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    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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    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.
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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 - 6 - Estimation of excess mortality associated with COVID-19 for Mexico and the U.S.
    (Stochastic Geomechanics Laboratory, 2021-05-28) Gonzalez-Farias, Graciela; Marquez-Urbina, Jose Ulises; Castillo-Casanova, Roman; Pineda-Antunez, Carlos; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; United States Department of Homeland Security (DHS)
    Compare the total deaths per week during the 2020 pandemic against the expected deaths according to the reported in the previous four years.
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    Actionable Information - Research Briefs - 7 - Index of stringency in containment measures, their impact on economic activity and mobility reduction
    (Stochastic Geomechanics Laboratory, 2021-05-28) Pineda-Antunez, Carlos; Marquez-Urbina, Jose Ulises; Gonzalez-Farias, Graciela; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; United States Department of Homeland Security (DHS)
    Explore the association between the government's response to contain the pandemic and measurements of mobility reduction, economic activity, and unemployment.
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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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    CBTS-SGL Webinar - Breaking Silos. The power of collaboration and abstraction - Catalina Herrera (Dataiku)
    (Stochastic Geomechanics Laboratory, 2021-08-16) Herrera, Catalina; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; United States Department of Homeland Security (DHS)
    As part of the CBTS's Distinguished Speaker Series, CBTS and SGL presented the webinar "Breaking Silos: the power of collaboration and abstraction", by Dataiku's Senior Engineer Catalina Herrera. This webinar introduced examples of a community working together to deliver a common end result using (and reusing data) to maximize community outcomes. It also presented how to leverage Dataikus capabilities to a wide spectrum of applications, including Data4Good, wind turbines with public data, Co2 emissions, among others, to help drive understanding of how to deliver and consume data and insights from many diverse data sources, including observations, model predictions, and experts knowledge (i.e. evidence). The presentation showed how once you break down silos, its important to enhance data products through collaboration, and leverage Machine Learning / Artificial Intelligence to deliver applied data science as transparent consumables.
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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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    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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    COVID-19 Vaccination Supply Chains
    (Stochastic Geomechanics Laboratory, 2021-05-21) 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 ongoing COVID-19 pandemic has severely disrupted supply chains in the United States; the objective of this poster is to provide relevant information to key stakeholders in academia, government, and the general public by providing evidence-based predictive models and risk analytics on the causes and effects posed by COVID-19, on the U.S. trade supply chain infrastructure. The identification and characterization of evidence depicting the dynamics of infrastructure interactions of U.S. domestic and international trade supply chains, from procurement, manufacturing, warehousing, to transportation processes, are expected to derive inferences from public sources of information, and databases following a common risk framework developed by our research group at Texas A&M University.
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    COVID-19 Vaccination Supply Chains Presentation Recording
    (Stochastic Geomechanics Laboratory, 2021-05-21) 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 ongoing COVID-19 pandemic has severely disrupted supply chains in the United States; the objective of this poster is to provide relevant information to key stakeholders in academia, government, and the general public by providing evidence-based predictive models and risk analytics on the causes and effects posed by COVID-19, on the U.S. trade supply chain infrastructure. The identification and characterization of evidence depicting the dynamics of infrastructure interactions of U.S. domestic and international trade supply chains, from procurement, manufacturing, warehousing, to transportation processes, are expected to derive inferences from public sources of information, and databases following a common risk framework developed by our research group at Texas A&M University.
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    Design, Development, Implementation and Operation of CBTS-SGL Data Lake System to Produce Risk Analytics of Supply Chains Impacted by COVID-19 and Other Converging Threats
    (Stochastic Geomechanics Laboratory, 2021-05-21) Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Sanchez-Siordia, Oscar; Rojas-Solis, Minerva; Olivares, Miriam; Perez-Patron, Maria Jose; Alvarado, Juan Pablo; Zarate-Losoya, Enrique; United States Department of Homeland Security (DHS)
    To address the public health impacts of the COVID-19 pandemic and other converging Threats on the U.S.- Mexico trade it is critical to support all health supply chain systems for both infrastructure and workforce, and to do it accounting for the inherent cultural regional differences, and considering the current and emerging regional social, economic and environmental risks.
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    Design, Development, Implementation and Operation of CBTS-SGL Data Lake System to Produce Risk Analytics of Supply Chains Impacted by COVID-19 and Other Converging Threats Presentation Recording
    (Stochastic Geomechanics Laboratory, 2021-05-21) Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Sanchez-Siordia, Oscar; Rojas-Solis, Minerva; Olivares, Miriam; Perez-Patron, Maria Jose; Alvarado, Juan Pablo; Zarate-Losoya, Enrique; United States Department of Homeland Security (DHS)
    To address the public health impacts of the COVID-19 pandemic and other converging Threats on the U.S.- Mexico trade it is critical to support all health supply chain systems for both infrastructure and workforce, and to do it accounting for the inherent cultural regional differences, and considering the current and emerging regional social, economic and environmental risks.
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    Evaluación y Administración del Estado de Riesgo de las Cadenas de Suministro por COVID-19 entre México y Estados Unidos: Presentación y Mesa Panel
    (Stochastic Geomechanics Laboratory, 2021-05-20) Medina-Cetina, Zenon; Duran Sierra, Guillermo; Zarate-Losoya, Enrique; Alvarado, Juan Pablo; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; United States Department of Homeland Security (DHS)
    During this presentation, members of the Stochastic Geomechanics Laboratory at Texas A&M University presented their work of two different research projects. The projects, hosted at the Center Of Excellence CBTS are related to the Risk Assessment and Management of supply chains between The U.S. and Mexico. After the presentation, a panel with question from the attendees followed.
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    Model Development for Bayesian Risk Assessment and Management of Supply Chains Impacted by COVID-19 and Other Converging Threats
    (Stochastic Geomechanics Laboratory, 2021-05-21) Alvarado, Juan Pablo; Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Zarate-Losoya, Enrique; Allen, Alexi; Guzman, Audrey; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    COVID-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.
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    Model Development for Bayesian Risk Assessment and Management of Supply Chains Impacted by COVID-19 and Other Converging Threats - Presentation Recording
    (Stochastic Geomechanics Laboratory, 2021-05-21) Alvarado, Juan Pablo; Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Zarate-Losoya, Enrique; Allen, Alexi; Guzman, Audrey; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    COVID-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.
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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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    R13-CBTS-SGL Binational Dashboard Website
    (Stochastic Geomechanics Laboratory, 2021-09-01) Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Sanchez-Siordia, Oscar; Rojas-Solis, Minerva; Perez-Patron, Maria Jose; Duran Sierra, Guillermo; Alvarado, Juan Pablo; Zarate-Losoya, Enrique; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    Home page screen capture of the Binational Dashboard developed to fulfill the objectives of the R13 project: U.S.-Mexico Risk Taskforce to Support the Health Supply Chain Systems for Infrastructure and Workforce Threatened by the COVID-19 Pandemic. The dashboard supports the following objective: To develop a data-lake platform concentrating near real-time analytics following a Risk systems approach that can provide strategic information about the evolution of COVID-19 and related current and emerging threats, the state of vulnerability of the health supply chain systems, and the likely impacts a combination of these may cause to society, the economy and the environment.