SDL-PAND

Duration of the project:
May, 2020 –
October, 2020
Funded by:
Collaborators:
Project Manager:
Participants:
  • Victor García Carrasco
  • Jose Luís Perez
  • Jorge Luiz Silva Barcellos
  • Dr. Erik Cobo
  • Dr. Jaume Llopis
  • Dr. Josep Maria Ribera
  • Joan Garcia
Areas of expertise involved in the project:
Technologys:
URL:
SDL-PAND

Description

SDL-PAND: Pandemic simulation to test the effectiveness of containment strategies through Cellular Automata and Intelligent Agents using formal languages.

Functional prototype that allows the evaluation of pandemic containment alternatives, based on a graphical conceptualization of the models, which represent the modeling hypotheses. The system must allow for expansion by incorporating new working hypotheses and feeding from two fundamental sources, data from the evolution of the pandemic (data that shows the past) and data from sensors (mobile phones or other devices) that show a current view of the situation, allowing to define forecasting models for the spread of the pandemic based on citizens’ behaviour. Likewise, the model must be able to expand its calculation capacity (from, for example, co-simulation) to include traffic management models, evacuation, etc.

The aim of the project is both to generate a web application to analyze alternatives, and to define a working methodology that allows establishing a common framework for the different specialists, who must collaborate in the definition of complex models. This makes it possible to understand the hypotheses that govern the models and, based on them, to understand the causality that derives from the multidisciplinary knowledge provided by specialists from different areas, who would otherwise not enter into this discussion.

The validation of the proposal and the resulting tool will be carried out by the Catalan Institute of Oncology and a team of doctors from the Hospital Clínic de Barcelona.

The development of the project can be followed through the web https://sdlps.com

 

 

 

 

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