Ongoing Work
Maladaptation by Displacement: Spatial Spillovers of Adaptation Finance in Sub-Saharan Africa
Ongoing work with Florian Weiler (Central European University) on the spatial dimension of adaptation finance in Sub-Saharan Africa: how geocoded adaptation projects relate to outcomes in the areas …
Scaling down climate adaptation finance justice: how cosmopolitan allocation ideals withstand sovereign realities at the subnational level
Joint work with Paul Vernus on how the justice ideals embedded in global climate governance play out when adaptation finance is allocated within countries. Using geocoded adaptation finance across …
Development Goals, Emissions Costs? Climate and Development Finance vis-à-vis Local CO₂ Emissions
The global challenge of climate change is increasingly a place-based development challenge: investments that raise living standards also shape long-run emissions through energy systems, …
ICDE 2025
No plan, No Aid? The effects of National Adaptation Plan implementation on received Adaptation Aid
Miners meeting
Leveraging Artificial Intelligence for Enhanced Insights into Development Finance: A Focus on Climate Finance estimation
AFEDEV JDD
Under the Green Canopy: bringing up to date public climate finance determinants analysis with AI
No plan, No Aid? The effects of National Adaptation Plan implementation on received Adaptation Aid
“No Plan, No Aid?” examines whether implementing a National Adaptation Plan (NAP) increases a country’s climate adaptation finance. Through a novel theoretical model and a robust Double Machine …
Under the Green Canopy: bringing up to date public climate finance determinants analysis with AI
Climate finance is critical for addressing the multifaceted challenges of climate change, encompassing mitigation, adaptation, and environmental sustainability. This study aims to renew the analysis …
Econom'IA conference
Leveraging Natural Langage processing techniques for a better classification of development projects: a case study using OECD CRS dataset.
Cracking the Code: Enhancing Development Project Classification with NLP on OECD CRS data.
CERDI PhD seminar
Better classification of international development finance for a better understanding of climate finance: the role of machine learning.