معرفی
Jens de Bruijn is an Assistant Professor at the Institute for Environmental Studies (IVM) within the Faculty of Science at Vrije Universiteit Amsterdam. He is also a Guest Research Scholar at the International Institute for Applied Systems Analysis (IIASA) in Laxenburg since February 2020. His work focuses on developing computational models to understand human responses to environmental changes, particularly related to climate change impacts.
Dr. de Bruijn's research interests center around hydrological modeling, human behavior in response to natural hazards, integrated modeling approaches, geostatistics, and social media analysis for disaster response. His work spans multiple disciplines including environmental science, computer science, and social sciences, with a strong emphasis on developing computational tools for large-scale simulations. He has made significant contributions to agent-based modeling through his development of the honeybees framework, which enables efficient simulation of millions of agents in environmental contexts.
His recent publications demonstrate a consistent focus on climate change adaptation, particularly regarding sea level rise impacts on coastal populations, farmer behavior under drought conditions, and the use of social media data for flood monitoring and disaster response. The research shows a progression from foundational work on social media analysis for flood detection toward increasingly sophisticated large-scale modeling of human decision-making under environmental stress.
Dr. de Bruijn is actively involved in multiple research projects including COASTMOVE (developing the DYNAMO global agent-based model) and fairSTREAM (modeling farmer behavior). He also teaches courses including Advanced Spatial Analyses and Water Risks. His work contributes to multiple United Nations Sustainable Development Goals, particularly those related to climate action and sustainable communities.
He leads development of several significant modeling tools, including the Global Flood Monitor, the DYNAMO model for coastal adaptation, the GEB agent-based model coupled with hydrological systems, and the honeybees computational framework. His research has been cited across multiple platforms including news outlets, academic blogs, and social media, demonstrating the interdisciplinary impact of his work.
