Human-Environment relations
socio-ecological systems
Transitions
Simulation modeling

My research focus is on the economic analysis of agri-environmental policy instruments as means to navigate ecosystem service trade-offs in multifunctional landscapes. In this context, I am particularly interested in identifying policy instruments and instrument mixes allowing to align societal preferences with biophysical potential of landscapes to provide multiple ecosystem services. Here, the mutual relationship between regulatory and incentive-based instruments is of much interest. Using agent-based modelling, but also more qualitative approaches, I look at the emerging landscape-level patterns that result from various policy mixes given realistic descriptions of farmers’ behaviour and institutional settings.

My general research interest is on modeling of complex natural and human systems systems. Specifically, I am interested in modeling agricultural production systems, that blends the complexity, multiplicity of scales and feedbacks of biophysical interactions in natural ecosystems with the additional intricacies of human decision-making. During last years I have coordinated the development and evaluation of an agent-based of agricultural production systems in the Argentinean Pampas.

I am a Research Associate with an interdisciplinary background spanning economics, social sciences, and international relations. After several years of professional experience outside academia, I now focus on applying agent-based modeling to management control challenges. My research explores how organizations can mitigate dysfunctional behaviors such as lying, fraud, and other forms of opportunism, aiming to design control systems that balance the pursuit of organizational goals while maintaining individual and organizational integrity.

Adapting Agents on Evolving Networks: An evolutionary game theory approach

Use of ABM in areas related to Systems Engineering and Automatic Control.

structure of scientific revolutions, dynamics of innovation, exploration-exploitation dynamics

This paper investigates how collective action is affected when the interaction is driven by the underlying hierarchical structure of an organization, e.g., a company. The performance of collection action is measured as the rate of contribution to a public good, e.g., an organization’s objective.