Publications (2020-2021)
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Browsing Publications (2020-2021) by Author "Lopez-Acosta, Araceli"
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Item 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.Item 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.Item 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.Item 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.Item 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 themItem 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.Item 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.Item 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.Item 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.Item 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.Item 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.Item 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.Item 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.Item R13-CBTS-SGL Monthly Risk Bulletin May 2021(Stochastic Geomechanics Laboratory, 2021-05-14) 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.Item 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.Item 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.Item 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.Item R13-CBTS-SGL Project Website(Stochastic Geomechanics Laboratory, 2021-09-01) 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)Home page screen capture of the website dedicated to 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 objectives of the project are: 1) To Integrate a triple-helix binational taskforce comprised of representatives from academia, industry and government from the U.S. and Mexico, 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. 2) 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. 3) To publish a monthly U.S.-Mexico COVID-19 Risk Bulletin to provide scientific, technological, and strategic cultural support to secure the operation of the U.S.-Mexico health supply chain systems.Item R13-CBTS-SGL U.S. 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 U.S. 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.Item Website of R7 - Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure(Stochastic Geomechanics Laboratory, 2021-09-01) Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Zarate-Losoya, Enrique; Allen, Alexi; Guzman, Audrey; Lopez-Acosta, Araceli; Alvarado, Juan Pablo; Duran Sierra, Guillermo; United States Department of Homeland Security (DHS)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.