Welcome to the website of the Risk Analysis group of the Institute of Earth Sciences of the University of Lausanne. This group is part of the Faculty of Geosciences and Environment, and replaces the former Institute of Geomatics and Risk Analysis (IGAR).
Our research focuses on the study of natural hazards and risks induced by surface and atmospheric phenomena, and their perception and impact on society. Our work combines fieldwork, in-situ and remote techniques investigations, laboratory experiments and numerical modelling in order to characterize soil and rock degradation, alteration and dismantling; mainly in the Alpine chain. A better understanding, quantification and forecast of mass wasting processes and related risks in mountainous areas help improve decision making processes, crisis management and disaster risk reduction to build disaster resilient communities.
Teaching activities include BSc and MSc and level classes at the University of Lausanne regarding natural hazards and risks assessment, risk management, communication, quantification and monitoring. Members of the Risk group also participate in the organization of international conferences, short courses and doctoral schools.
News
- Welcome Visiting PhD Student Weibo RaoWeibo Rao is a PhD student from China university of Geosciences (Wuhan), jointly trained by GEOMAR Helmholtz Centre for Ocean Research (Kiel). His research focuses on developing key technologies for automated …
- Rock slope and gravity 2025 (RSG-2025): Forecasting and Modelling Large Rock Slope Failures in a Changing Mountain EnvironmentConference site : https://wp.unil.ch/rsg-2025/ 26-28 November 2025 – University of Lausanne Recent catastrophic rock, rock-ice or rock-debris avalanches highlight the urgent need to improve detection, monitoring, and modeling of large-scale …
- Welcome Visiting PhD Student Xiong TangXiong Tang is a PhD student from Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, whose research focuses on granular flow, landslide dynamics and numerical modelling with the …
- Conference – Recent disasters in the Alps: What happened, what is being done, and what can be done?Risk Cycle Conference December 9th, 2024 (13h) Location: University of Lausanne Room Amphimax – 41409.12.2024 from 13:00 to 18:30.Free admission, open to all (places limited to 100 on-site) Registration required …
- Welcome Visiting PhD Student Kanglei SongKanglei Song is a PhD student from Chongqing University, China, whose research focuses on monitoring and early warning of slow-moving landslides in the Three Gorges reservoir area of China. He …
Blog
- Welcome Visiting PhD Student Weibo RaoWeibo Rao is a PhD student from China university of Geosciences (Wuhan), jointly trained by GEOMAR Helmholtz Centre for Ocean Research (Kiel). His research focuses on developing key technologies for automated …
- Charlotte Wolff rejoins the group as a Postdoctoral ResearcherAfter defending her PhD entitled “Methodological Enhancements for Comprehensive Hazard Assessment of Rock Slope Instabilities” in October 2024, Charlotte Wolff has rejoined the group as a Postdoctoral Researcher. She will …
- Rock slope and gravity 2025 (RSG-2025): Forecasting and Modelling Large Rock Slope Failures in a Changing Mountain EnvironmentConference site : https://wp.unil.ch/rsg-2025/ 26-28 November 2025 – University of Lausanne Recent catastrophic rock, rock-ice or rock-debris avalanches highlight the urgent need to improve detection, monitoring, and modeling of large-scale …
- Welcome Visiting PhD Student Xiong TangXiong Tang is a PhD student from Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, whose research focuses on granular flow, landslide dynamics and numerical modelling with the …
- Hélder Peixoto : Web GIS Application for Natural Hazards Risk Assessment Based on Incomplete DataNatural hazards have a significant impact on global populations causing fatalities and damage to agriculture, buildings, and infrastructure. With climate change, such hazards are expected to become more frequent and …




















