The lecture by Andrew Ringsmuth, Stockholm Resilience Centre will take place at the Complexity Science Hub Vienna.
Human cognitive biases may have evolved to promote survival and reproduction in small hunter-gatherer groups within the Pleistocene environment of our past. As we enter the Anthropocene, we must bring our cognitive machinery to bear on the problem of survival and resilience across a vast range of scales in a globalised, digitally connected world. In this talk, I will discuss the challenge of modelling multiscale and cross-scale dynamics in social-ecological systems. To begin, I will introduce the field of resilience science for nonspecialists and describe its standard methods for understanding scale and critical system transitions. I will then present recent results from a multiscale, evolutionary game-theoretic model of communities harvesting a common-pool resource under the influence of a social norm. Finally, I will discuss the potential for adaptive multilayer network models to advance the study of interrelations between multiscale dynamics and critical transitions in social-ecological systems.
Andrew Ringsmuth is a postdoctoral researcher at Stockholm Resilience Centre (SRC), where he models interdependences between multiscale dynamics and critical transitions in social-ecological systems. After initial training in psychology, philosophy and theoretical physics, Ringsmuth received his PhD in physics at the University of Queensland, Australia. His doctoral work focussed on multiscale analysis of light-harvesting processes in photosynthesis and their optimisation for solar fuel production. After extending this work as a postdoc at the VU University Amsterdam, Ringsmuth joined the SRC, where he is applying multiscale methods to stylised models of social-ecological systems. His interests in sustainability science also include energy systems, environmental psychology, biophysical economics and complex adaptive systems theory more broadly.
If you are interested in participating, please email to firstname.lastname@example.org.