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The work of LISC founded by Guillaume
Deffuant and currently led by Franck Jabot

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focuses on the modeling of
complex social and environmental systems

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as well as strategies for action on
these systems.

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To understand the dynamics of forests,
interactions between plant population or

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animals in their environment or socials dynamics
in rural areas; LISC researchers

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use mathematical and computational models.

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They develop models in which each individual,

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plant, animal or human of a population
are represented.

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These computer models can be used to simulate interactions of each individual with

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his peers and the environment.

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Simulations reveal unexpected collective facts for which mathematical theory

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is sometimes difficult to establish.

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The transition from individual to collective
is at the heart of recent theories of

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complexity.  occurs in most
environmental, social or

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societal dynamics.
The purpose of LISC research is

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to study globals behaviors belonging to individual interactions.

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We develop software tools
to perform numerical experiments

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on these models.

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That allows us to study how
the globals behaviors observed depend on

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models input parameters, which
represents interactions between

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individuals.

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We also develop statistical methods
to calibrate these models from data

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on global systems and once calibrated
these models can be used

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to calculate policies actions on
systems to ensure their viability or

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their resilience.

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The LISC participates in national and international multidisciplinary projects in which

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collaborate computer scientists, mathematicians
but also specialists from ecosystem

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or social sciences.

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The themes of the team are very diverse
for example we are working on forest systems

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to adapt forest management
to climate change, on the lakes

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to better manage eutrophication problems
or on the psychological determinants

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and social that will push the farmers
to convert to organic farming.

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This last work is done in collaboration
with the LAPSCO laboratory in Clermont-Ferrand.

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As part of a call for projects
of region Auvergne we built a partnership

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with BioFilm Control in order to
develop new algorithms allowing

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to detect the presence of bacterial bio-film.
In some condition bacteria can

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produce  polymers matrix.

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This polymers matrix may allow
for proctection of these bacteria when they

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are subject to external aggression such as antibiotics. So in this

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collaboration we decided
with BioFilm Control to develop new

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algorithms that allow to have a much finer  detection of the presence of these

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bacterial bio-film.

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On our side, this allows us to have access
to industrial data that allow

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to feed our methodological research questions.

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For BioFilm Control these new algorithms
will allow them to have

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much finer detection of bacterial bio-film.

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This will allow them to develop new

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industrial applications.

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The assimilation of heterogeneous data
allows to model systems and find

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solutions to a problem raised
by an industrialist or a company.