FP7, Marie Curie Actions, People

International Research Staff Exchange Scheme (IRSES)


Funded by the European Union

INTI: International Network in Theoretical Immunology

EU Partner organisations:

Institut Pasteur (France)
Universität Magdeburg (Germany)
Helmholtz Centre for Infection Research, Braunschweig (Germany)
Universiteit Utrecht (Netherlands)
Instituto Gulbenkian (Portugal)
Universidad de Vigo (Spain)
Universidad Pontificia de Comillas (Spain)
University of Leeds (UK)
University of Glasgow (UK)
University of Oxford (UK)
University College London (UK)

Non-EU Partner organisations:

WEHI Melbourne (Australia)
University of British Columbia (Canada)
Indian Institute of Science Bangalore (India)
University of Auckland (New Zealand)
Los Alamos National Laboratory (USA)
Wake Forest University (USA)

Programs, conferences and workshops 2012

   

Some INTI and INTI-related meetings 2009-2012



IRSES is an international research network in theoretical immunology that involves experimental and theoretical immunologists.

One of the great challenges of Theoretical Immunology is to tie together events within hosts with events at the level of a community of hosts, that is, to make models that combine theoretical immunology with the epidemiological implications of within-host events. The pursuit of these new insights will generate non-standard mathematical questions. Two have already become apparent:

  1. models need to capture events within individual hosts and interactions between hosts. Ordinary differential equations can only achieve this in a crude way that fails to capture much of the relevant, observed biological dynamics.
  2. models for processes unfolding at several levels of organisation are needed in other areas of theoretical immunology: the interaction between within-cell molecular dynamics and cell-to-cell events is one obvious application.
The objectives of the network are
  1. Establish research collaborations between the experimental and theoretical immunologists of the network to provide immunology with a more quantitative basis.
  2. Establish research collaborations between the different theoretical immunology groups to discuss, compare, test and validate different modelling approaches.
  3. Train the new generation of (experimental and theoretical) immunologists, with the aim to exchange postgraduate students and research fellows, so that they benefit from the broader knowledge, skills and tools provided by the Network.
A goal of the Network is to develop, by means of the Staff Exchange Scheme, four long-term directions for modelling in immunology. In particular,
  • To develop stochastic models for the motion of pathogens and of cells of the immune system.
  • To develop mathematical and computational models to help us understand how the immune system maintains its diversity of millions of lymphocyte populations.
  • To develop stochastic models of T cell and B cell maturation.
  • To develop models of autoimmunity.
Grant Lythe Last revised:
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