Current and planned projects rely on applied microeconometric methods for policy evaluation using subnational data. The empirical toolkit centers on panel data econometrics, difference-in-differences and event-study designs, and the integration of georeferenced information. Spatially disaggregated data, including satellite-based measures such as nighttime light intensity, are used to capture local economic activity and to account for spatial dependence and spillovers.

The research design emphasizes careful identification and robustness analysis, combining observational data with high-resolution spatial information to study economic outcomes in conflict-affected and developing settings. Where feasible, planned work incorporates original survey data collection with experimental elements to improve measurement of local conditions and to strengthen causal interpretation.

Although the doctoral project is at an early stage, these methods provide a foundation for a research agenda focused on empirical analysis, spatial methods, and policy-relevant insights.

Related interests focus on the interaction between economic development, resource use, and vulnerability, using spatially disaggregated and satellite-based data. This includes examining how patterns of economic activity evolve across income levels and how these changes relate to local resource pressures and externalities. Planned survey work incorporates behavioral and prosocial components to study preferences, cooperation, and responses under hybrid security governance, linking economic activity and resource constraints to welfare outcomes at the local level.