ARtificial Intelligence
for Ecosystem Services

International Spring University
on Ecosystem Services Modeling

Bilbao, 20th – 24th May  2019

The International Spring University (ISU), an initiative of the Basque Centre for Climate Change (BC3), announces a 1-week training on Ecosystem Services Modeling.

The 2019 event is directed to a new generation of scientists and policy analysts who can effectively use coupled human-environmental models in research, policy and management to address and solve sustainable problems. This year´s event is also intended as an update on the latest developments in the k.LAB modeling software, including key updates to make model coding and reuse more user friendly, targeted for both new participants and those from previous years.

The 2019 edition is held in collaboration with the ALICE Project co-funded by the EU INTERREG Atlantic Area Programme.

The main goal of ALICE is to promote sustainable investments in Blue-Green Infrastructure Networks (BGINs) through identification of the benefits of Ecosystem Services delivered at the terrestrial-aquatic and land-sea interface in the Atlantic Region.

This video features the insights of the International Spring University on Ecosystem Services Modelling advanced training course.

BC3 is leading the development of some of the most advanced cloud-based data and modeling methodologies to quantify and value the flows of services that ecosystems provide to societies.

The ARIES team combines an innovative simulation platform and a domain-specific programming language to address the task of integrated social ecological systems

THE PARADIGM: Integrated Modelling

To learn more about the Integrated Modelling Partnership visit:


To know more about k.LAB a knowledge laboratory  visit:


To learn more about ARIES – ARtificial Intelligence for Ecosystem Services, visit:

TRAINING & CAPACITY BUILDING: International Spring University on Ecosystem Services Modeling

All the information related to the ISU initiative at:

Key dates
Date and timetable of the 2019 edition

Dates: 20th – 24th of May, 2019
Duration: 5 days
Timetable: Monday-Friday 9:00-13:00, 14:00-18:00

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