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Solutions

Our approach to integrated modelling combines the k.LAB open-source software platform and the k.IM semantic annotation and modelling language

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THE LANGUAGE

k.LAB software underlies both the integrated development environment and integrated modelling web interface. The k.IM modelling language provides approximates, as best as possible, plain-English descriptions of scientific data and models. This yields a shared, but extensible, formalization of a scientific language for integrated modeling. Advanced users can code additional model functionality in k.IM by using the Groovy and Java programming languages.

Real-world applications of k.LAB

Use cases

Explore the diverse applications powered by k.LAB, organized by research areas. Discover how k.LAB supports groundbreaking work across various fields, showcasing the practical impact of integrated modeling and data analysis. Dive into our use cases to see how k.LAB is driving innovation and solving complex environmental challenges.

TopicNatural capital

Projects

ARIES for SEEA

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ARIES for SEEA is an open-source and user-friendly digital tool enabling, for the first time, data and model interoperability to support the compilation of natural capital accounts using SEEA Ecosystem Accounting (SEEA EA), an international standard which was adopted by the UN Statistical Commission in March 2021.

IHOBE

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Funded by the Basque Government, this project was centred on capitalizing on the data hosted by Geoeuskadi, the reference geoportal portal of the Basque Country Spatial Data Infrastructure. ARIES produced a thematic application on ecosystem services, biodiversity monitoring and natural capital accounting drawing on spatially and temporally data and models around the Urdaibai Biosphere Reserve.

PEOPLE-EA

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The Earth Observation Applications for the Environment - Ecosystem Accounting (PEOPLE-EA) project studies the relevance of Earth observations (EO) for ecosystem accounts in terrestrial and freshwater ecosystems and develops, validates and showcases several advanced EO solutions to produce ecosystem accounts, in physical terms, on ecosystem extent, condition and services. As a result of this collaboration, the ARIES for PEOPLE-EA Explorer has been developed. This web-based application, built on the ARIES modelling platform, grants access to all data and models available on the network.

The application is currently only available with restricted access to the Project Team and the Early Adopters but is targeted to be open and publicly available after the project.

TopicConservation & restoration

Projects

The HeCo Leticia Platform

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It allows the implementation of advanced data science algorithms using data from external partners based on unique semantic analysis capabilities. This powerful combination will allow Leticia to provide a wide range of audiences with a fast and accurate response with an optimal user experience.

TopicEcosystem services

Projects

NBSoil

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ARIES contributes by reviewing existing soil-related models, assessing their compatibility, and integrating them into its modelling platform. This integration aims to generate novel insights into soil structure, organic matter stabilisation, and hydrology, enhancing understanding of Soil Organic Matter (SOM) dynamics and food-web interactions.

ARIES: Artificial Intelligence for Environment & Sustainability

THE PLATFORM

The most visible application of k.LAB is the ARIES platform, a suite of state-of-the-art models designed to support science-based decision-making. ARIES is the first real-world tool for social-environmental systems modelling, using independently built knowledge and models endorsed by the scientific community to produce holistic outputs.

The ARIES platform assesses environmental sustainability using highly flexible and customizable data and models served on the semantic web. It integrates multiple modelling paradigms (e.g., process models, agent-based models, Bayesian networks, lookup tables) to quantify the supply, use, and flow of ecosystem services, improving the reusability of related data.

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