by Joana Simo ̃es

1. IESIM: Simulating communities with a game-like
approach
pecha kucha ”style” presentation
Joana Sim˜oes
April 23, 2013
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2. Introduction
Which project?
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3. IeSIM
IeSIM ADL:
Modelling Environment, that implements models through a
set of plugins.
Targets: programmers and users.
Intuitive and easy to use, as a computer game!
Cope with lack of data, creating fictitious scenarios (as in
games!)
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4. outbreakP2P
Case Study: outbreakP2P:
Simulates the spreading of a non-vector infectious disease.
Split into three sub-models: community, hazard and
intervention.
Each sub-model is implemented in a separate plugin (ICom,
IHaz and IInt).
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5. Plugins
Each plugin is loaded at run-time and appears as an icon, which
gives access to a set of sub-menus to configure the different model
parameters.
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6. Community
Agents and Exposure or Mixing environments (ME).
Agents: households.
ME: functional networks that link the households together.
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7. Creating a Community
Step 1: Load population data (e.g.: from a Shapefile)
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8. Creating a Community (+)
Step 2: Define the households ”structure” (Pert distribution).
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9. Creating a Community (+)
Step 3: Create ME (load them, generate them randomly or
input them in the map).
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10. Creating a Community (+)
Step 4: Setting the time dynamics of the ME.
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11. Hazard
Hazard: infectious disease.
SEIR model: susceptible, latent, infectious and Removed.
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12. Hazard
Set Attack rate (β) and Illness/Impact rate.
Locate the source of the hazard: known locations of infected
individuals.
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13. Intervention
Test strategies for the optimal control of an infection in a
spatial complex landscape.
Vaccination Strategies: proactive and reactive.
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14. Play: Simulate
The simulation integrates information from the three
sub-models.
Play, stop and pause.
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15. Play: Simulate (+)
The output of each time step is presented in real time.
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16. Some Technical Details
C++ using Qt framework.
Native Windows and Linux versions (easily portable to Mac
OS).
GIS importance: justified the development of an in-house
library (GXLib).
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17. Some Technical Details (+)
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18. Final Remarks
Game approach in scientific modelling.
Tools to be used by non experts.
Product needs a lot of testing, and some features still need to
be developed.
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19. Final Remarks (+)
Unfortunately the end of funding before we could reach a
release meant, the ”freeze” of the project.
I am open for collaboration opportunities in the future, that
could push IeSIM further.
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20. Links
IeSim at WAMS 2010: http://tinyurl.com/c7sdeod
Qt project: http://qt-project.org/
http://www.casa.ucl.ac.uk/joanamargarida/
http://www.doublebyte.net
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