Displaying 3 of 3 results coupled socio-environmental system clear search
The aim of this project is to understand and quantify the roles of sociocultural and biophysical factors in the evolution of linguistic diversity using an agent-based modelling approach. The spatial agent-based model should simulate how and where languages (agents) change, merge, and split over time. You will use linguistics theory in combination with large datasets of environmental, demographic, sociocultural and linguistic variables to define the model rules.
The aim of this project is to improve the comparability and selection of spatial optimisation algorithms through the design, testing, and publication of spatial optimisation benchmarks. The developed benchmarks will be tested on case studies in spatial planning and economic geography. Starting date is October 1st, 2024.
The BarfussLab seeks a motivated and talented doctoral researcher to join our team in modeling human-environment systems. The position is for three years with the possibility of extension. The successful candidate will work on developing, implementing, and analyzing mathematical models of human-environment interactions at the intersection of complex systems science, multi-agent reinforcement learning, and social-ecological resilience.