D6.2 Strategic Roadmap (Release 1)
julia vera2021, CERN European Organization for Nuclear Research - Zenodo
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Abstract
Restricted to other programme participants (including the Commission) RE: Restricted to a group specified by the consortium (including the Commission) CO: Confidential, only for members of the consortium (including the Commission) 2 D6.
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Integrate a triple-helix binational taskforce comprised of representatives from academia, industry, and government from the U.S. and Mexico. 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. Develop a Data-Lake System concentrating near real-time analytics following a risk systems approach that can provide strategic information about the evolution of COVID19 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. 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. II. Research Results: Approved Changes: Due to university security protocols, it was decided to modify our original system's architecture, resulting in a clear division; servers located on-premise will be hosted and managed by TAMU IT with restricted access to public resources outside the internal firewall while a separate cloud-based hosted by Amazon's Web Services will act as the public-facing element of our project. The Data-Lake System will reside in the on-premise servers and will only be accessible through the internal university network following the security protocols. The cloud-based system will host the public dashboards of synthesized data and analytics with limited communication with the onpremise system. Futhermore, closer collaboration with R7 was encouraged and approved to expedite the development of the Risk Model Development, and analytics generation.
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