The research group conducts collaborative and interdisciplinary research at the crossroad between applied economics and data science, focusing on agriculture and the environment. Our research efforts center around the fields of international, health, and environmental economics. ​

​

1. We use modern statistical methods and big economic data to investigate the drivers and assess the domestic and foreign consequences of international trade and investment. Our thorough research provides policymakers and companies new insights into highly relevant global trade and investment policy issues.

2. We work on questions related to environmental pollutants and human health, mental health, and invasive species. Our research uses causal inference methods to assess the impact of environmental contaminants such as air pollution, pesticides, plant pollen, and wildfires on human well-being. We use novel data and innovative statistical techniques to investigate the mental health crisis's causes and (unintended) side effects.

​

Please explore the publication and project pages to learn more about our research.