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Agent based model for coastal settlement transitions
Agent-based modelling of migration decision-making under changing environmental conditions.
I use Agent-Based Models to understand contemporary fertility decision making in below-replacement fertility contexts.
Exhaustible natural resources
Fishery resources
Network game theory models
Agent-based models
Game theory, artificial intelligence, agent-based models, genetic algorithms.
BIGSSS-Departs PhD Fellow
Bremen International Graduate School of Social Sciences / Jacobs University (Germany)
PhD project: Residential Segregation and Intergenerational Immigrant Integration: A Schelling-Esser Model
Italian PhD fellow, fond of social complexity and agent-based modeling, applied to residential segregation and integration processes
Research Interests: Agent-based modeling, migrant integration, residential segregation
Using agent based models to look at ecosystem-based or integrated management of oceans and coastal zones
Leonardo Grando is a Ph.D. Student at the University of Campinas (UNICAMP) in Brazil. I am interested in complex systems, agent-based simulation, artificial intelligence, the Internet of Things, programming, and machine learning tools. I have expertise in Netlogo, Python, R, Latex, SQL, and Linux tools.
My Ph.D. work project is an IoT devices (UAVs) swarm agent-based modeling simulation (ABMS) aiming the perpetual flight. The workflow is Netlogo to ABMS simulate, Python and R to data analysis, and I use Latex for my thesis writing.
Distributed computing modeling, multi-agent computing models, economic and financial models, healthcare chronic disease models
I currently work on an agent-based model on energy-efficient renovation decisions.
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