Projects
Wastewater as an early warning system for Covid-19 surveillance KU Leuven
Elaboration of pillar 2 of the research: Coordination with and embedding of the COVID surveillance system on wastewater in the current virus resurgence management system in Flanders. The data from the COVID surveillance system via wastewater can be used to inform local measures. It is expected that the COVID surveillance system will be able to detect regional flare-ups through wastewater more quickly than the current system of testing alone. ...
Waste-water based epidemiology as early warning system for COVID-19 surveillance Ghent University
By screening SARS-CoV-2 RNA in wastewater, we want to offer a complementary non-invasive indicator to map and monitor COVID-19 in Flanders.
Enhancing Capacity for Climate Change Resilience in Nakuru, Kenya through an AI-based Monitoring and Early Warning System for Climate Change Induced Air Pollution KU Leuven
Our primary aim is to enhance climate change resilience in Nakuru through supporting local AI-enabled innovative forecasting of climate-change induced air pollution that supports effective climate adaptation strategies in line with Nakuru's Climate Change Act, the National Climate Change Plan 2023 – 2027 and Sustainable Energy Access and Climate Action Plan (SEACAP). This project thrives on a collaboration between experts in data science, ...
The emergence of a 'modern' labour market? Tracing rural labourers in an early modern commercial farming system: the Waasland polder area (1650-1850) University of Antwerp
Intelligent decision and prediction methods using fuzzy sets in warning systems Ghent University
This project has two objectives: (1) To develop a general framawork of integrated warning system (WS). This framework will contain both technical and organisational elements and their relationships, which will particulary look at both an early warning generation from information fusion and decision making from warnings. (2) To develop a new fusion methodology to manage uncertain information (using fuzzy sets and fuzzy case-based reasoning) in ...
Derailment of the affective system: Measurement, early detection, and underlying mechanisms KU Leuven
(i-bollards) Intelligent early-warning system of interconnected bollards to monitor port infrastructure. University of Antwerp
A geostatistical framework to forecast malaria incidence in the context of climatic events KU Leuven
Malaria is a life-threatening disease that causes a significant public health burden worldwide. Malaria incidences show considerable temporal and geographical variation, which can be linked at least partly to climatic conditions. Over the last twenty years, multiple Malaria Early Warning Systems (MEWS) have been developed. These systems primarily focus on short-term incidence predictions, but there is a growing demand to implement long-term ...