WORKSHOP ON MACHINE LEARNING APPLICATIONS IN GEOPHYSICAL FLUIDS - September 14-16 2026, School of Sciences, Buenos Aires, Argentina
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Call for Abstracts: May 15, 2026 - June 15, 2026
Submission must be made using the following form: Submission Form
Submitted works must be extend abstact and should follow the format specified in the example template: Template (available soon)
Agenda: TBC
Workshop proceedings: TBC
MOTIVATION
Machine learning models have produced a significant impact in our hability to analize, detect, monitor, simulate and understand the complexity associated with geophysical fluid dynamics. These techniques are leveraging the data deluge from the last decades provided by high resolution numerical simulations and remote and in-situ observing networks. This workshop aims to discuss the latest advances in the application of machine learning techniques in different aspects related to geophysical fluids and to strength collaborations among researchers (particularly early career ones) applying or willing to apply machine learning techniques in this challenging context.
The meeting is organised in the framework of the PREVENIR project (prevenir.smn.gob.ar) which involves scientific-technical institutions from Argentina and Japan in an interdisciplinary effort for the development of flash flood early warning systems. The project is funded by the Japan International Cooperation Agency (JICA) and the Japanese Science and Technology Agency (JST).
THEMATIC AREAS
Pattern recognition and classification: Application of machine learning techniques for classification and pattern recognition associated with geophysical fluid phenomena.
Machine learning for prediction: Prediction of physical variables associated with geophysical systems at different time and spatial scales. Machine learning based downscaling.
Estimation and monitoring: Machine learning models for monitoring and estimating unobserved quantities related with geophysical fluids.
Communication: Use of machine learning approaches for communication of critical information related to monitoring or prediction of phenomena associated with potentially harmful phenomena.
PARTICIPATION AND FEES
Paysments from Argentina: $50.000 ($AR)
Paysments from abroad: 40 USD
Payment methods will be available soon
For inquiries regarding registration or to request a justified fee waiver, please contact the organizing commitee at: prevenirsatreps@gmail.com
INTENSIVE-COURSE
During the two weeks prior to the meeting (31st August - 11th September 2026), an intensive course on machine learning and its application to geophysical fluids will be held at the University of Buenos Aires:
More information coming soon!!
VENUE
The meeting and mini-courses will take place at the Faculty of Exact and Natural Sciences of the University of Buenos Aires (Buenos Aires, Argentina).
INVITED SPEAKERS
Dr. Takemasa Miyoshi - RIKEN Center for Computational Science (Japan)
Dr. Pierre Tandeo - IMT-Atlantique (France)
Dr. Carlos Granero Belinchon - IMT-Atlantique (France)
Dr. Tristan Hascoet - RIKEN Center for Computational Science (Japan)
Dr. Manuel Pulido - U. Nacional del Nordeste (Argentina)
Dr. Alan Calheiros - INPE (Brazil)
ORGANIZING COMMITTEE
Presidents:
Dra. Yanina García Skabar
Dr. Takemasa Miyoshi
Executive committee:
Dra. Romina Mezher
Ing. Leandro David Kazimierski
Dr. Manuel Pulido
Dra. Maria Laura Betolli
Dr. Matías di Napoli
Dra. Aldana Arruti
Dr. Sebastián López
Dr. Maximiliano Sacco
Dr. Luciano Vidal
Dr. Juan Ruiz
Ms. Marina Lagos
Ms. Axel Aguirre
Ms. Paul Fernandez
Ms. Sergio Gonzalez
Contact:
E-mail: prevenirsatreps@gmail.com
This event has been supported by the following fundations
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