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Mathematical Models and Experimental Microbial Systems
 Research questions in evolutionary ecology were traditionally approached using palaeontological interpretation, genomic comparisons and statistical analyses. An increasingly fruitful alternative is to perform and analyse laboratory experiments on microbes ans their viral pathogens where evolution occurs on short time scales and where high quality data can be obtained at the genetic, metabolic and cellular levels. The recent explosion of studies of microbiological ecologies has been key in addressing classical evolutionary questions and it is now time to use mathematical tools to provide a mechanistic understanding of the processes that govern such evolutionary interactions.
The MMEMS network has the following scientific objectives:
 Bring mathematicians and life scientists together
- bridge the language barrier between different disciplines
- keep different communities informed about frontier research outside their area of expertise.
Identify new areas of research in evolutionary ecology that require the application of novel mathematics.
Develop innovative techniques and new methodologies that will bring mathematics closer to biology by addressing the need for a mathematical theory which
- connects ecology and evolution
- is flexible in relation to probabilistic structure of genetic mutations
- establishes a relationship between genotypes and phenotypes
- is able to deal with evolution of multiple (two or more) traits ans co-evolving traits.
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