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IE-RSME Workshop Series on Applied Mathematics: Understanding and Responding to Extreme Events
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Understanding and Responding to Extreme Events: A Multidisciplinary Approach
This edition of the IE-RSME Workshop Series on Applied Mathematics and Knowledge Transfer will focus on extreme events and catastrophes, bringing together leading researchers and practitioners working at the intersection of mathematical modeling, data science, and societal impact.
Extreme events, ranging from climate-induced disasters to humanitarian crises, present complex challenges that demand rigorous, data-driven approaches. This workshop will showcase recent advances in statistical and physical modeling, operational research, and forecasting, with applications spanning climate science, meteorology, disaster logistics, and risk management.
The event aims to foster interdisciplinary dialogue and collaboration between academic researchers and meteorological agencies. It will feature four keynote talks by experts in the field, a session for flash and contributed talks, and a poster session to highlight student and early-career contributions.
We invite broad participation to explore diverse perspectives on how applied mathematics can enhance our ability to understand, predict, and respond to extreme events.
Agenda
09:30 - 09:40 | Welcome and Opening Remarks
09:40 - 10:25 | Ana C. Cebrián Guajardo: Statistical Analysis and Modeling of Heat Records: Is There Evidence of Climate Change?
10:25 - 11:10 | José Luis Casado: Data-driven models: a new approach to weather forecasting.
11:10 - 11:40 | Flash Presentations
11:40 - 12:10 | Coffee Break & Networking
12:10 - 12:55 | Manuel J. Castro Díaz: Mathematical Modeling for Tsunami Early Warning Systems.
12:55 - 13:15 | Poster 3-minute-presentations
13:15 - 14:00 | Begoña Vitoriano: Operational Research for Disaster Logistics and Humanitarian Response.
14:00 - 15:00 | Lunch & Poster session
Call for Contributions
We welcome contributions from students, researchers, and professionals interested in the mathematical and computational challenges posed by extreme events. Participants are invited to submit abstracts for short flash talks (3–10 minutes) and/or poster presentations related to the workshop themes, including but not limited to:
- Statistical and mathematical modeling of extreme events
- Climate change and environmental risk assessment
- Meteorological forecasting and applications
- Operational research in disaster preparedness and response
- Humanitarian logistics and food security
To be considered, please submit a brief abstract (maximum 200 words) to manuele.leonelli@ie.edu by 30/04/2025.
We particularly encourage early-career researchers and graduate students to contribute.
This workshop was partially funded by SPHERES project PID2023-153222OB-I00 granted by MCIU /AEI /10.13039/501100011033 / FEDER, UE
Dress Casual (jeans ok)
Food Provided
Speakers
Begoña Vitoriano
Complutense University of Madrid
Begoña Vitoriano is an associate professor at the Complutense University of Madrid and has been a leading researcher in operational research for disaster logistics since 1998. She has developed decision support models for humanitarian logistics, disaster relief, and resource optimization, and has authored around 60 research publications. She has supervised five PhD theses and has extensive experience in Development Cooperation, leading several projects in El Salvador, Peru, and Mozambique since 1995. She has also participated in and coordinated various committees focused on development and developing countries (EMS, IFORS, SEIO, CE-MAT, CIMPA, among others). In 2021, she was elected president of the Spanish Society of Statistics and Operations Research (SEIO) for a three-year term starting in 2022.
José Luis Casado Rubio
AEMET - Spanish Meteorological Agency
Jose Luis Casado Rubio (degree in Physics from the University of Zaragoza) has worked at AEMET for 20 years. After working as an IT consultant for the private sector for several years, he joined AEMET in 2005, first as an operational forecaster, and then as a software developer and meteorologist in the NWP Applications Group. He took a temporary leave of absence from AEMET to take up a scholarship at the European Centre for Medium-range Weather Forecasts (ECMWF) between 2009 and 2011. As a member of the NWP Applications Group he has participated in several national and international projects in the fields of renewable energies and air quality. He is currently involved in a project to create a data-driven meteorological model for Spain.
Manuel Jesús Castro Díaz
University of Málaga
Manuel J. Castro Díaz (PhD in Numerical Analysis from the University P. and M. Curie, Paris VI) is a full professor at the University of Malaga, where he has worked since 1996. He is a member of the EDANYA group, focusing on numerical analysis of non-conservative hyperbolic systems and geophysical flow modeling, including tsunamis, floods, and sediment transport. His research also involves HPC implementations, uncertainty quantification, and the use of deep learning in tsunami modeling. He has led multiple national and international projects, co-authored over 150 publications, supervised 13 PhDs, and contributed to several patents. He was president of SEMA (2020–2024), is currently the Applied Mathematics manager for the Spanish Research Agency, and has received several awards, including the J. Lions Award and the Nvidia Global Impact Award.
Ana C. Cebrián
University of Zaragoza
Ana C. Cebrián (PhD in Mathematics from the University of Zaragoza) is an Associate Professor in the Department of Statistical Methods at the same university. Her research focuses on statistical modeling and inference for climate data, especially the analysis of extremes such as droughts and heat waves using approaches like threshold exceedances and Bayesian models. She has developed R packages including NHPoisson, IndTestPP, and RecordTest, all available on CRAN. Her work has been funded by national research projects supported by agencies such as AEMET and the Ebro River Basin Authority.
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