Team 2 - Data Processing and Analysis (Including Coding, Machine Learning, Modeling)
Use this space to explore and expound upon your findings.
Test Conversation Between Dr. J. Silva and Dr. H. Jenkins-Smith
Gentlemen, Please introduce yourselves here. Dr. Silva, please type enter all of your remarks in Spanish. Dr. Jenkins-Smith, please enter all of your remarks in English. Señores, Por favor, preséntense aquí. Dr. Silva, por favor escriba ingrese todos sus comentarios en español. Dr. Jenkins-Smith, por favor ingrese todos sus comentarios en inglés.
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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ReplyDeleteMeeting notes: August 6, 2021
ReplyDeleteSummary:
- 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
Meeting notes: September 1, 2021
ReplyDeleteSummary:
- 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
Notas de la junta: 16 de septiembre de 2021
ReplyDeleteResumen:
- 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