We study animal and human cooperation and altruism, both from theoretical and experimental aspects.
-We study how the differences in financial status and the age of the cooperators, social structure and cultural differences affect the level of cooperation.
-We study the key processes responsible for the organisation of human societies, and investment behaviours that catalyse the spread and dominance of different economical systems.
The Darwinian neurodynamics research group focuses on identifying and analyzing evolutionary dynamics as it unfolds over neural architectures. We investigate evolutionary training of artificial neural networks, analogies between evolutionary and learning dynamics (evolution in learning, learning in evolution), structural and dynamical similarities between associative neural networks and gene regulatory networks, and theoretical and experimental approaches to search for a potential Darwinian dynamics underlying higher cognitive functioning.
The research focus of the group is eco-epidemiology and evolution of parasites and pathogens. Our main aim is to gain a deeper understanding of the biology, natural cycle of human and animal parasites (including microbial pathogens and macroparasites) and their relation with their hosts. We pay special attention to the eco-epidemiology of pathogens emerging as a consequence of climate change and anthropogenic pressure. We plan to implement the obtained results in pandemic and epidemic prevention e.g. by applying the DAMA (Document, Assess, Monitor, Act) protocol.
We are interested in the evolutionary and dynamical stability of microbial communities. Within this area one of the main emphasis is on the evolutionary stability of host microbiome interactions. We study the evolutionary and ecological background of social life of some spider species with the help of mathematical and agent based models.
We at ETI continue to focus on the following issues: transition from chemistry to biology (molecular replicators and spatial structure, early metabolism and chromosome evolution), eukaryotic origins (especially of mitochondria), general replicator theory (from molecules to memes), evolutionary origin and dynamics of information-handling subsystems (immune and nervous systems), eco-evolutionary emergence of language (in hominins and robots), language as a biological system.
Development and management of IT applications, databases and web tools for ecology, botany and nature conservation. Contribution to developemtn of Biome-BGC ecosystem modeling and perform simulation runs. Modeling energy flow, carbon and nitrogen cycling of forest ecosystems.
Long term monitoring of strict forest reserves focused on stand structure, shrub and understorey layers. See: Homepage of Forest Reserve Programme.