Próximos Eventos

Financiado através dos seguintes projetos:

PEst-OE/MAT/UI0297/2011
PEst-OE/MAT/UI0297/2014
UID/MAT/00297/2013

Descrição

Biology is nowadays a focal discipline for many sciences, and its attachment to mathematics, in particular, significantly grew during the last years (R.M. May, Uses and abuses of mathematics in biology. Science 303: 790–793, 2004). Complex mathematical models are increasingly used in studies from various fields of biology, and sophisticated computer applications produce results that support actions by decision-makers. The enormous variety of mathematical questions addressed (e.g, modeling suitable conditions for species, estimating impacts of climate change, study of emerging diseases, cancer modeling, statistical analysis of medical data, medical imaging), and the speed at which studies are developed to respond to pressing questions, are factors that incur serious risks regarding the appropriateness of models and, consequently, on conclusions and eventual decisions (A.J. Davis, L.S. Jenkinson, J.H. Lawton, B. Shorrocks, S. Wood, Making mistakes when predicting shifts in species range in response to global warming. Nature 391: 783-786, 1998; L. Craig, Complexity and the problem of ill-posed questions in ecology, Ecological Complexity 8: 60–67,2011). Thus, there is an urgent need for a greater interaction between mathematicians and biologists.

A number of researchers of CMA from different research groups have directed their expertise on distinct mathematical subjects (differential equations, statistics and stochastic processes, graphs, combinatorial optimization) to address issues in biological areas including ecology, evolution, epidemiology and genetics.

CMA congregates the work on these topics in a thematic line on mathematical models on ecology, evolution and genetics (TLMMEEG).

The TLMMEEG aims to be a strategic endeavor for CMA, and a fundamental step to:

a) Establish collaborations with other departments (departments of Life Sciences, Earth Sciences, and Environmental Engineer) of the Faculty for co-supervising students;

b) Create a PhD program on mathematical modeling on ecology, evolution and genetics;

c) Be a competent partner for addressing the mathematical issues in projects on environment, ecology or genetics.