Publications (2020-2021)

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Browsing Publications (2020-2021) by Author "Perez-Patron, Maria Jose"

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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 - 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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    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.
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    R13-CBTS-SGL Final Report
    (Stochastic Geomechanics Laboratory, 2021-07-21) Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Sanchez-Siordia, Oscar; Rojas-Solis, Minerva; Perez-Patron, Maria Jose; Alvarado, Juan Pablo; Zarate-Losoya, Enrique; United States Department of Homeland Security (DHS)
    The purpose of this project was to integrate a binational Taskforce from Mexico and the U.S. that could serve as an advisory group to guide the identification and characterization of key variables and processes addressing the impact of COVID-19 in the state of risk of supply chains of critical value for trade between Mexico and the U.S. This project aimed as well as providing the best technology integrator to assimilate evidence that could facilitate the production of risk-based analytics to better inform stakeholders about the likely implementation of risk mitigating strategies that secure the optimal operation of supply chain systems involving trade between both countries. It aimed as well to produce a risk information system that would produce periodical information about the state of risk of Mexico and U.S. supply chains
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    R13-CBTS-SGL Mexico 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 Mexico 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.
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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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    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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    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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    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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    R13-CBTS-SGL Monthly Risk Bulletin June 2021
    (Stochastic Geomechanics Laboratory, 2021-06-14) 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.