Projects
Data models for topographic inventories at large scale: From 2 to 3 dimensions KU Leuven
Automated harmonisation strategies for real-world multiple sclerosis data sources Hasselt University
BelHisCom. Integrating long-term company-level data: a proof of concept with Belgian data. University of Antwerp
Knowledge Graphs for Machine Learning Data Management KU Leuven
SPARKS (Supporting Platforms to Accelerate Rural sKills and CapabilitieS) KU Leuven
Strengthening the socio-economic fabric of rural areas is central for dynamizing it and a major CAP objective. Plus, Digital Transformation is a major enabler of innovation. For this, a “run pioneer” needed is to develop Supporting Platforms to Accelerate Rural sKills and CapabilitieS
(SPARKS). In this, user centric transformation models involving local ecosystem are key to better understand strengths and needs. Advanced trustworthy AI ...
From smart watches to autonomous cars: securing consumers’ rights and interests in the era of smart technology and the Internet of Things KU Leuven
The number of devices being connected to the internet is growing rapidly. This trend—referred to as the Internet of Things (IoT)—illustrates how everyday objects are gradually turned into smart devices. These smart devices are capable of collecting data from their surroundings and sharing those data over the internet.
The development of the IoT raises several legal questions from a consumer protection perspective. First, the ...
Simulation based testing of large scale internet of things applications. University of Antwerp
Bioinformatics: from nucleotids to networks (N2N) Ghent University
The platform From Nucleotides to Networks (N2N) aims at setting up pipelines for the processing of the increasing flow of molecular data and the development of techniques for the integration of this data into further bio-informatics research.
Bringing Land and Sea Together Ghent University
Interoperable, standardised and adequate tools are important for coastal zone management and maritime safety. The Project will develop a basis for connecting land and sea data, will contribute to harmonise chart data and integrate maritime information, develop and demonstrate planning and visualisation tools, and develop a GIS-based decision support system for integrated coastal zone management.