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PhD student in Economic History, Universidade de São Paulo.
My research interests are the history of Gaelic Ireland (13th and 14th centuries), historical game studies, and the use of formal modeling techniques in historical research.
2025-present: Senior Scientist, University of Hohenheim
2021-2024: Postdoctoral Researcher, Environmental Geography Department, Vrije Universiteit Amsterdam
2016-2021: PhD candidate, Department of Industrial and Operations Engineering, University of Michigan
agriculture & food systems | resilience & transformation & equity
Topics:
Behavioural aspects of environmental problems: Use of evolutionary approaches to investigate how people react to environmental policy.
Resource scarcity
Climate-economic Models: Understand how economic agents think and decide about climate change and climate protection
Sustainable Development
Methods:
Agent-Based-Modeling
Genetic algorithms
Evolutionary economics
Behavioural economics
Ecological economics
Complexity Theory
Three fields interest me in research: the study of market from a behavioral point of view, focusing on loyalty, trust, quality convention; then the study of institutions, their dynamics and the predictions/diagnostics that can be made following Ostrom’s IAD framework; eventually discussions on epistemology and validation about ABM.
ABM applied to natural resources and reputation/colaboration.
Evolution of social behavior and complex systems
Researcher in social simulation or Computational social scientists
in LISC (Inrae), and associate researcher in LAPSCO (UCA) https://www.lapsco.fr/HUET-Sylvie.html
Community assembly after intervention by coral transplantation
The potential of transplantation of scleractinian corals in restoring degraded reefs has been widely recognized. Levels of success of coral transplantation have been highly variable due to variable environmental conditions and interactions with other reef organisms. The community structure of the area being restored is an emergent outcome of the interaction of its components as well as of processes at the local level. Understanding the
coral reef as a complex adaptive system is essential in understanding how patterns emerge from processes at local scales. Data from a coral transplantation experiment will be used to develop an individual-based model of coral community development. The objectives of the model are to develop an understanding of assembly rules, predict trajectories and discover unknown properties in the development of coral reef communities in the context of reef restoration. Simulation experiments will be conducted to derive insights on community trajectories under different disturbance regimes as well as initial transplantation configurations. The model may also serve as a decision-support tool for reef restoration.
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