Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
Only Sessions at Location/Venue 
 
 
Session Overview
Location: A-122 Lecture Hall
UniS, Schanzeneckstrasse 1, 3012 Bern / Basement level 1, Places: 72, Seating: fixed
Date: Wednesday, 29/Jan/2025
9:30am
-
10:30am
Heat & Drought I: Forecasting for Heat and Drought Assessment
Location: A-122 Lecture Hall
Chair: Olivia Martius

Session II will take place on Wednesday, 29 January 2025 from 11:00 am to 12:30 pm, Room A-122.

 

A Drought Early-detection and Warning System for Switzerland

Fabia Huesler, Vincent Humphrey, Simone Bircher-Adrot, Adel Imamovic, Luca Benelli, Johannes Rempfer, Jana von Freyberg, Yannick Barton, Therese Buergi, David Oesch, Joan Sturm



Enhancing Drought Analysis with User-Centered Data Structuring

Annina Brügger, Ramón Bill, Fabia Hüsler, Hélène Salvi, Vincent Humphrey



Climate Change Impact on Drought Risk With Respect to MeteoSwiss SPEI Index Reference Period

Ivor Mardesic



How Good is my Drought Index? Evaluating Predictability and Ability to Estimate Impacts Across Europe

Anastasiya Shyrokaya, Florian Pappenberger, Gabriele Messori, Ilias Pechlivanidis, Hannah Cloke, Giuliano Di Baldassarre

11:00am
-
12:30pm
Heat & Drought II: Forecasting for Heat and Drought Assessment
Location: A-122 Lecture Hall
Chair: Olivia Martius

Session I will take place on Wednesday, 29 January 2025, from 9:30 am to 10:30 am in Room A-122.

 

Skillful Heat Related Mortality Forecasting During Recent Deadly European Summers

Emma Holmberg, Marcos Quijal-Zamorano, Joan Ballester, Gabriele Messori



Using Machine Learning To Enhance Community Preparedness Through Determination Of Climate And Environmental Predictors Of Childhood Diarrheal Disease In Bangladesh

Ryan van der Heijden, Parker King, Donna Rizzo, Elizabeth Doran, Kennedy Brown, Kelsey Gleason



Developing a Multi-Hazard approach for Drought and Heat Wave in the arid region of Rajasthan: Community level risk assessment

Vandana Choudhary, Milap Punia


Date: Thursday, 30/Jan/2025
9:30am
-
10:30am
ML & Forecasting I: Impact-Based Forecasting and Early Warning Systems Leveraging Machine Learning
Location: A-122 Lecture Hall
Chair: Pascal Horton
Chair: Olivia Martius
Chair: Noelia Otero Felipe
Chair: Vitus Benson

Session II will take place on Thursday, 30 January 2025, from 11:00 am to 12:30 pm in room A-122.

Chairs:

  • Pascal Horton, Mobiliar Lab of Natural Risks, Oeschger Center for Climate Research, University of Bern, Switzerland
  • Olivia Martius, Mobiliar Lab of Natural Risks, Oeschger Center for Cliamte Research, Universtiy of Bern
  • Noelia Felipe, Frauenhofer HHI, Germany
  • Vitus Benson, Max-Planck Insitute, Germany
 

Real Time Application For Estimation Of Urban Pluvial Flood Damage

Sarah Lindenlaub, Guilherme Samprogna Mohor, Annegret Thieken



Towards Fast River Routing With Neural Networks

Basil Kraft, Lukas Gudmundsson



AI-driven Flood Hazard Modelling: Enabling Fast And Highly Resolved Flood Risk Calculations for Effective Disaster Management

Christos Altantzis, David Schenkel, Julien Schroeter



Integrating Satellite Technology and Machine Learning for Accurate Mangrove Species Classification in Thailand

Narong Pleerux, Kritchayan Intarat, Phurith Meeprom, Pornthip Foiwaree, Phannipha Anuruksakornkul

11:00am
-
12:30pm
ML & Forecasting II: Impact-Based Forecasting and Early Warning Systems Leveraging Machine Learning
Location: A-122 Lecture Hall
Chair: Pascal Horton
Chair: Olivia Martius
Chair: Noelia Otero Felipe
Chair: Vitus Benson

Session I will take place on Thursday, 30 January 2025, from 9:30 am to 10:30 am in room A-122.

Program ML & Forecasting II

1. Presentations

2. Interactive Game: Forecasting rare events with generative human AI
It is 11:45 am in Bern, Switzerland, and the International Committee on Unforeseen Risks is about to convene. Their latest session intends to prepare humanity for what is yet to come. RIMMA, the generative AI system built to forecast catastrophic outcomes, is opening the meeting with its latest assessment report. "Preparedness is key to mitigating the impacts of rare but catastrophic events. Here is a list of the top 10 unforeseen catastropheeeees that atataatat….“. What happened? A power outage struck the building, and now the committee is left to resort to their human intelligence to prepare a list they can present to the head of state within 45 minutes.

We all become imagineers in this slot and play a collaborative game to forecast rare events! Join us for an interactive activity that will query your creativity and spark a discussion on using AI systems for forecasting extreme events. After a brief introduction, we will play the game (no prerequisites required), stimulating our discussion on machine learning in early warning systems.

3. Wrap-Up discussion: Opportunities & Risks of ML for Early Warning Systems

The session will conclude with a 15-minute discussion on the opportunities and risks of ML for early warning systems.

 

 

Development of an Information Platform for Machine-Learning-Aided Forecasts of Drought-Related Extremes (MaLeFiX)

Konrad Bogner, Massimiliano Zappa, Ryan Padron



Drought Risks: Advances and Challenges

Andrea Toreti

2:30pm
-
3:30pm
Weather & Health: Forecasting and Warning for Health
Location: A-122 Lecture Hall
Chair: Joan Ballester

This session covers presentations on the topic of weather forecasts for health management

 

Forecast Skill Assessment of the First Continental Heat-cold-health Forecasting System: New Avenues for Health Early Warning Systems

Marcos Quijal-Zamorano, Desislava Petrova, Èrica Martínez-Solanas, François R. Herrmann, Xavier Rodó, Jean-Marie Robine, Marc Marí-Dell’Olmo, Hicham Achebak, Joan Ballester



Integration of Weather Forecasts and Epidemiological Models for the Creation of Operational Health Early Warning Systems

Joan Ballester, Mireia Beas-Moix, Nadia Beltrán-Barrón, Raúl Méndez Turrubiates, Fabien Peyrusse, Marcos Quijal-Zamorano



Potential for Subseasonal Early Warning Systems for Two Heatwave-affected Sectors of Switzerland: Health and Alpine Permafrost

Dominik Büeler, Maria Pyrina, Elizaveta Sharaborova, Sidharth Sivaraj, Ana M. Vicedo-Cabrera, Adel Imamovic, Christoph Spirig, Michael Lehning, Daniela I. V. Domeisen