We are excited to announce the Advanced Lecture Course on Computational Systems Biology, that will be held in the Aussois ski resort (France) between March 31st and April 6th, 2019.
This will be the 3rd edition of CompSysBio; for the previous two editions see CompSysBio 2015 and CompSysBio 2017.
Systems Biology aims at describing living systems on the basis of the modeling of their complex inner and outer interactions. It provides conceptual and methodological frameworks to think biological systems, allowing to derive the falsifiable consequences of current models as confronted with the mass of molecular, cellular, physical and physiological data. Systems Biology is therefore intrinsically interdisciplinary, requiring strong interaction between researchers from biology and more formal sciences.
The Course emphasis is methodological and targets participants from Computer Science, Mathematics and Physics, in addition to biologists motivated by Systems Biology. Sessions are therefore preferentially organized around methodological issues: control theory, dynamical systems, spatio-temporal models, network inference and analysis, evolutionary systems dynamics, with a constant eye on biological relevance.
The Course will be an opportunity for participants to interact directly with prominent scientists in this rapidly growing field. In order to facilitate casual interactions, there will be time for skiing in the afternoon. The pedagogical scheme is as follows (see programme):
- Morning sessions with plenary lectures
- Early afternoon free
- End of afternoon sessions devoted to parallel blackboard teaching and computer practicals
- Evening sessions for selected short talks and for posters
Participants are strongly encouraged to submit an abstract of their current work to be presented as a poster in order to facilitate scientific interactions. Some abstracts will be selected for short talks by the Scientific Committee. Student fellowships are also available and will be awarded to cover registration fees on the basis of the submitted abstract.
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