Fifth International Workshop on

Hybrid Systems Biology

Grenoble, France, October 20-21, 2016

Proceedings are online (available here)

Workshop participants will get a free hard copy and free online access for a limited time.


The 5th International Workshop on 'Hybrid Systems Biology' was held on October 20th and 21st in Grenoble (France) in the new IMAG building.


Local Contacts

Invited speakers


Systems biology aims at providing a system-level understanding of biological systems by unveiling their structure, dynamics, and control methods. Living systems are intrinsically multi-scale in space and in time; they also exhibit a mixture of deterministic and stochastic behaviours. It is therefore very difficult to model them homogeneously, for example by means of systems of differential equations or by purely discrete models. Furthermore, such models are often not easily amenable to formal analysis and even their simulations are frequently impractical. Indeed, an important open problem is finding appropriate computational models that scale-up well for both simulation and formal analysis of biological processes.

Hybrid modelling techniques, combining discrete and continuous components and dynamics, are gaining more and more attention in systems biology. They have been applied to successfully capture the behaviour of several biological complex systems, including genetic regulatory networks, metabolic reactions, signalling pathways as well as higher level models of tissues and organs. As the challenges of scale and intrinsic heterogeneity and inhomogeneity are coming to the forefront of systems biology, the value of the hybrid dynamical modelling paradigm, integrating mathematical models that address distinct spatio-temporal scales and subsystems, becomes evident.

Topics of Interest

HSB is a single-track Systems Biology workshop with emphasis on hybrid approaches in a general sense. Hybrid dynamical modelling but also other dynamical modelling approaches are equally part of the scope of the workshop. Interdisciplinary contributions, such as combining modelling, analysis, algorithmic and experimental techniques from different areas, are especially welcome.

Topics of interest include, but are not limited to: