International Spring Universityon Ecosystem Services Modelling
ARIES is meant to enable simple use of complex models through artificial intelligence; as such, extensive training is only necessary for modelers who want to contribute to, and benefit from, ARIES models and data. We run an annual intensive modeling school every year, and various other events around the world when the opportunity arises.
The 2019 ISU was a 1-week training on Ecosystem Services Modeling, 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 sustainability problems. This edition made use of both k.LAB components: the simple, yet powerful, user interface – k.EXPLORER; and the interface for modellers – k.MODELLER.
The 2018 ISU was largely based on teaching the ARIES Explorer (our simple user interface) and accessing existing models). Since 2018, when the next-generation ARIES Explorer firstly saw the light, we are available to run shorter workshops for intermediate to non-technical users. Please get in touch if you want to be informed about the next training opportunity or would like to discuss custom training opportunities.
The 2017 ISU was a transition year, when we skipped the regularly run Spring university and run two main events instead:
- a Summer hackathon for the ARIES core team and close friends, by invitation only;
- a Fall/Winter ARIES masterclass, intended for selected previous participants and collaborators to catch up with the many innovations of the last years and to provide them with a chance to have an advance look at, and maybe help us beta test, the Explorer.
From 2013 to 2016, the ISU was held in Bilbao and followed a regular 2-week format.
Custom training opportunities
We can also deliver other types of training of varying length and technical content. These can be tailored to a specific case study, scientific, or policy problem. Please contact us if you are interested in discussing custom training options.