Team 2 - Data Processing and Analysis (Including Coding, Machine Learning, Modeling)

 Use this space to explore and expound upon your findings.

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  1. Yuber from UNSA shared his Group 2 project plan with the OU team. We reviewed this in detail today (Thursday, September 16) and are evaluating the best way in which we can work together.

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  3. Meeting notes: August 6, 2021

    Summary:
    - Verified Group 2 team members
    - The UNSA team has identified some curated sources of COVID-19 related data
    - More work is necessary on the data, but this is a great place to start collaborating
    - One very important question: what is the form, detail, and structure of data needed to utilize PanViz
    - The OU team briefly shared some of the county-level COVID-19 work completed for the US

    Next steps
    - Reinart: identify PanViz data needs and communicate to the group
    -Everyone: In email we need to begin discussion on determining appropriate modeling and analysis scope
    -What exactly are we modeling? At what level of spatial and temporal granularity?
    -How will the models impact decision makers and policy?
    -What are our first goals?
    -Everyone: Identify upcoming conferences for presentation
    -Velazco, Nicholson, Hougen, Razzaghi, Reinart, Ebert: look for journal publication opportunities
    -Everyone: identify and communicate needs from the collaboration
    -Velazco, Nicholson: decide on meeting plan

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  4. Meeting notes: September 1, 2021

    Summary:
    - initiated PanViz development with Peru data
    - reviewed county-level COVID-19 work completed for the US
    - begun discussing modeling issues such as: the spatial, temporal granularity; SIR + alternate methods
    - identified possible conference proceedings outlet in May
    - Conveyed technical details of the data structure and tables of PanViz
    - To simulate the COVID-19 pandemic, we combine PanViz’s base epidemiological model with machine learning to infer model parameters. This allows to maintain the mathematical principles, while also optimizing the model for different situations.
    - RMSE algorithm was noted

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  5. Notas de la junta: 16 de septiembre de 2021

    Resumen:
    - el equipo de OU (grupo 2) reunió hoy para hablar sobre la propuesta de invetigaciones de UNSA
    - queremos utilizar el documento que UNSA compartió a acelerar nuestra collaboracion y editar la propuesta como equipo entero usando Google Docs
    - asi que, nosotros podemos ayudarnos unos a otros sin duplicar esfuerzos
    - queremos asignar tareas para que tengamos miembros de OU y UNSA en cada trabajo
    - el equipo de David Ebert ya está trabajando en la modificación de PanViz para su uso en Perú
    - necesitamos la participación de las partes interesadas para realizar un análisis de necesidades

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