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News from members

AGU25 LandAware get-together in New Orleans: Tue, December 16 – 6:30 pm

NEWS received from
Tobias Halter (WSL, Switzerland), Lisa Luna (USGS, USA)

We invite all LandAware Members who will be attending the AGU25 annual meeting, as well as their friends and interested research fellows, to join us for an informal dinner on Tuesday, December 16th.

We will meet after the session “Landslide Life Cycle: From Hazard Analysis to Risk Assessment II Oral” and walk from the conference center in about 5 mins to the

We will meet after the session “Landslide Life Cycle: From Hazard Analysis to Risk Assessment II Oral” and walk from the conference center in about 5 mins to the restaurant Zesty Creole (https://zestycreole.com/) where we suggest to meet at 6:30 pm (Google Maps: https://maps.app.goo.gl/duTFijbp5MenGWmVA).

If you are interested, please fill in the following google form: https://docs.google.com/forms/d/e/1FAIpQLSd40Ci3kk4FAPo4g3yQyE5ISssDEIuJBRKVONrk34ELRZE9jQ/viewform?usp=dialog

Note, that we have only have space for 25 people, so sign up now to reserve your spot.

We look forward to seeing you in New Orleans.

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News from members

Open Post-Doctoral position at NGI on risk assessment and climate adaptation measures for transportation networks

NEWS received from
Minu Treesa Abraham (NGI, Norway)

New open Post-Doctoral position at NGI focused on dynamic risk assessment for prioritizing climate adaptation measures for transportation networks in Norway.

Topics:

  • Identifying and assessing physical vulnerabilities to climate-related hazards in transportation infrastructure
  • Risk assessment and development of a framework for selecting and prioritising climate adaptation measures for transportation
  • Data processing, Early warning systems (EWS) and dynamic risk assessment methodologies

The PostDoc period is September 2026 to August 2029.

Application deadline: 15 January 2026 

Photo credit: NGI

Requirements:

  • PhD in Geotechnical Engineering, Geoscience, Remote Sensing, or a related field
  • Proven experience in risk assessment of natural hazards, especially those triggered by hydrometeorological processes
  • Familiarity with climate adaptation strategies and transport infrastructure resilience
  • Experience with data processing, early warning systems, and dynamic risk assessment
  • Excellent collaboration and English language skills

Full advertisement:

https://candidate.hr-manager.net/ApplicationInit.aspx?cid=388&ProjectId=175872

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News from members

LEWS Session at EGU26

News received from
Luca Piciullo (NGI, Norway), Stefano Luigi Gariano (CNR, Italy), Samuele Segoni (University of Florence, Italy)

The call-for-abstracts of EGU General Assembly 2026 is open! EGU26 will be held in Vienna, Austria, and online on 3–8 May 2026.
Don’t miss the chance to submit an abstract to the session, “The use of monitoring, modelling, and forecasting in Landslide Early Warning Systems“.

This session focuses on LEWS at all scales and stages of maturity, from prototype to active and dismissed ones. Test cases describing operational application of consolidated approaches are welcome, as well as works dealing with promising recent innovations, even if still at an experimental stage.
Contributions addressing the following topics will be considered positively:
– real-time monitoring systems (IoT);
– prediction tools for warning purposes;
– in-situ monitoring instruments and/or remote sensing devices;
– analysis of hydro-meteorological drivers to enhance forecasting;
– warning models for issuing warning;
– operational applications and performance analyses;
– machine learning techniques applied for early warning purposes.

The abstract submission deadline is 15 January 2026, 13:00 CET.

On-site participants who wish to apply for Roland Schlich travel support must submit an abstract by 1 December 2025, 13:00 CET. They must be the contact author and the first and presenting author of their contribution.

Conveners: Luca Piciullo, Lisa Luna, Stefano Luigi Gariano, Ting Xiao, Samuele Segoni

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Uncategorized

Global Survey on Societal Risk Tolerance for Landslide Events

Global Survey on Societal Risk Tolerance for Landslide Events by Jean D. Hutchinson and colleagues:

This survey aims to collect expert perceptions of landslide risk tolerance in diverse contexts worldwide. The data will be used to understand how risk appetite is defined, measured, and applied in landslide risk management, and to inform the development of context-sensitive, globally relevant risk tolerance criteria. Your responses will help us capture both quantitative and qualitative insights into historical landslide events, societal and political reactions, and changes in policy or practice.

SURVEY

The findings of this survey will be presented at the LaRGE2026 workshop (www.landsliderisk.nz). By submitting your response, you agree to your submission being summarised and presented. Your personal details will not be shared without your permission – your contact details will only be used to contact you if clarification is required and will not be published.

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News from members

Newly published paper, “Weather-Induced Landslide Activity in Clayey Slopes: Modeling for the Design of Site-Scale Early Warning Systems”

NEWS received from
Vito Tagarelli (Polytechnic University of Bari, Italy)

A new paper entitled “Weather-Induced Landslide Activity in Clayey Slopes: Modeling for the Design of Site-Scale Early Warning Systems”, has just appeared in the ASCE Journal of Geotechnical and Geoenvironmental Engineering.

The paper explores how soil–vegetation–atmosphere (SVA) interactions control landslide activity in clayey slopes. Drawing on long-term field monitoring and advanced numerical modelling, we show how SVA processes influence pore-water pressures and slope stability, driving both shallow and deep landslides.

This work enabled us to identify effective indicators and precursors—such as pore-pressure patterns and cumulative rainfall thresholds—which may support their integration into landslide early warning systems (LEWS).

The results suggest that a new paradigm for designing LEWS is possible, emphasising the importance of phenomenological and numerical diagnosis of site-specific landslide processes. The framework we propose is applicable to a range of geo-hydro-mechanical contexts as well as future climate scenarios.

The work may be of interest to the LandAware community, given the relevance of the topic to both research and practice.

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LandAware network News from members

New landslide session at EGU26: NH3.13

NEWS received from
Gaetano Pecoraro (University of Salerno, Italy)

Dear Colleagues,

The call-for-abstracts of EGU General Assembly 2026 is open!

EGU26 will be held in Vienna, Austria, and online on 3–8 May 2026.

Don’t miss the chance to submit an abstract to our session, “IoT-based monitoring and machine learning approaches for landslide studies”.

This session focuses on contributions dealing with design, implementation, and application of IoT monitoring systems and machine learning methods for landslide studies. Test cases describing operational applications are particularly welcome, as well as studies dealing with promising recent innovations, even if still at an experimental stage.

Topics of interest include, but are not limited to:
● design and deployment of IoT-based monitoring networks
● processing of geotechnical, hydrological, and meteorological data in IoT/ML frameworks
● methods for the analysis of complex datasets
● ML applications for landslide detection and forecasting
● real-time monitoring and analysis

The abstract submission deadline is 15 January 2026, 13:00 CET.

On-site participants who wish to apply for Roland Schlich travel support must be the contact author and the first and presenting author of their contribution. They must submit an abstract by 1 December 2025, 13:00 CET.

Conveners:
· Gaetano Pecoraro (University of Salerno, Italy, gpecoraro@unisa.it)
· Rosa Menichini (University of Salerno, Italy, rmenichini@unisa.it)
· Alessandro Zuccarini (University of Bologna, Italy, alessandro.zuccarin4@unibo.it)
· Nicola Dal Seno (University of Bologna, Italy, nicola.dalseno@unibo.it)
· Luca Piciullo (Norwegian Geotechnical Institute, Norway, Luca.Piciullo@ngi.no)

More info at: https://meetingorganizer.copernicus.org/EGU26/session/56494 

Please, share this information with anyone who might be interested and feel free to contact us if you need any help or support.

Looking forward to meeting you!

Warmest regards,

Gaetano, Rosa, Alessandro, Nicola, Luca

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News from members WG07 Operational LEWS

New article collection “Earth and Environmental Sciences: Operational Landslide Early Warning Systems–from Research to Best Practices”

News from:
Davide Tiranti (Regional Agency for Environmental Protection of Piemonte, Italy)

I am pleased to announce, along with my co-editors Graziella Devoli and Minu Treesa Abraham, the launch of a new collection on the Discover Applied Sciences journal (Springer Nature) entitled “Earth and Environmental Sciences: Operational Landslide Early Warning Systems–from Research to Best Practices”.

https://link.springer.com/collections/cbhaibfece

We welcome contributions from anyone involved in defining, designing, and managing Landslide Early Warning Systems, at any scale: from local to global.

We look forward to seeing you!

“This collection focuses on the primarily pre-operational, operational and practical aspects related to the design and management of a Landslide Early Warning System and Service (LEWS-S), at local, regional/national, and global scales. We aim to collect contributions not only from the research community engaged on this topic, but also from practitioners responsible for the organisational tasks that must be addressed in daily operations to run an effective and efficient landslide early warning system, to communicate warnings effectively, and to manage the ensuing liability (including legal) implications. Contributions addressing the definition and implementation of early warning systems/services (from research to the development of operational tools), as well as studies on the validation of such systems—particularly in the context of a changing environment driven by global warming—are also welcome.”

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News from members

Landslide Life Cycle Session at AGU2025

News received from
Tobias Halter (WSL, Switzerland)

This year’s AGU annual meeting will take place in New Orleans on the 15 to 19 December 2025. Among many interesting sessions on landslides, don’t miss “NH028 – Landslide Life Cycle: From Hazard Analysis to Risk Assessment” organized by Lisa Luna, Ben Leshchinsky, Stratis Karantanellis, Eric Bilderback and Tobias Halter. The session welcomes contributions across the full spectrum of the landslide life cycle.

Abstract submissions are due by 30 July 2025!

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WG05 Innovations

Recordings of the WG5 webinar “Awareness and Forecasting for deep-seated landslides”

On Thursday, June 5, within the LandAware WG5 meeting, Corey Froese from Wavelength Advisory Services, Edmonton, CA, presented his work on forecasting deep-seated landslides in North America with a presentation entitled “Awareness and Forecasting for deep-seated landslides: considerations for activity data collection”.

Info

The recordings of the webinar are available on the LandAware YouTube channel:

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News from members

Special session on Landslide processes, hazard, and risk at MedGU25

News received from
Tolga Görüm (Istanbul Technical University, Türkiye)

—

The 5th Annual Meeting of the Mediterranean Geosciences Union (MedGU25) will be held on 10–13 November 2025 in Athens, Greece, hosted by the National and Kapodistrian University of Athens.

Among several engaging sessions, a Special session on Landslides (Landslides: Processes, Hazard, and Risk) is organized by Tolga Görüm, Ugur Öztürk, Stefano Luigi Gariano, and George Papathanassiou. Among these broad themes, we want to particularly emphasize landslide prediction and early warning.

Hence, we invite you to submit an abstract to this MedGU25 special session.

The abstract submission deadline (1 page / max. 350 words) using this Template is August 25, 2025.

Info: https://2025.medgu.org/