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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 postdoctoral researcher will contribute to the NSF-EPSCoR GEM3 program (www.idahogem3.org/) aimed at understanding how genetic diversity and phenotypic plasticity affect species response to environmental change, shaping both population response and adaptive capacity.