Projects AI & Sustainability Lab

  • LUE modelling framework for building digital twins of large geographical systems

    With the development of the LUE modelling framework, we aim at providing domain experts, like hydrologists, land-use change experts, and health scientists with easy-to-use model building blocks with which they can build their models and digital twins of for instance hydrology or urban systems.

  • Predictions for Sustainable Development Investment

    Technology is a key enabler in the transition towards sustainable development. To accelerate actual investments in these technologies, investors like pension funds need insight which sustainable technologies are expected to growth in the next decade(s).

  • Energy Transition Project

    Our research aims to analyze how smart buildings can contribute to a sustainable energy system, taking into account the three levels at which decision-makers contribute to a building sector decarbonization: from the micro, the meso, and the systems perspective.

  • Deep-learning to improve plastic-removal strategies on Galapagos beaches

    Marine plastic debris is threatening the ecosystem of the Galapagos Marine Reserve and therefore, strategies are needed to effectively remove marine debris through beach cleanups. In order to clean up the beaches as efficiently as possible, our team develops a predictive model to find the most effective removal locations.

  • Sustainable and Inclusive Mobility development in The Hague

    The Hague aims to introduce demand responsive transportation in vulnerable neighbourhoods to reduce car traffic and increase accessibility in a sustainable way. The key question is how this can be done as efficiently as possible while offering an attractive alternative to the car.

  • Question-based analysis of Geographic Information with Semantic Queries

    The aim of this project is to realize a seamless data driven spatial science using geographic information through question-based analysis, which is a novel way of interacting with geo-analytical resources via Question Answering (QA) technology.