Marius Gilbert

Biographical sketch

Marius Gilbert graduated in Agricultural and Applied Biological Sciences at the Université libre de Bruxelles (ULB) in 1995, he was a visiting researcher for two years at the department of Zoology, University of Oxford , and finished his PhD on in insect pest ecology at the ULB in 2001. He was then a post-doctoral fellow at the Fonds National de la Recherche Scientifique (FNRS, Brussels, Belgium) for three years, followed by three years or research at the ULB on contract research. In 2006, he was awarded a Research Associate permanent academic position with the Belgian FNRS, hosted at the Université libre de Bruxelles (ULB) and has since worked to animate and develop his research group in spatial epidemiology.

Marius Gilbert coleads the groupe Lutte biologique et écologie spatiale (Lubies) at Université libre de Bruxelles (ULB)

Main projects related to the talk are


Open population data for human and animal health, Thursday 10 December 2015

by Marius Gilbert and Catherine Linard Université libre de Bruxelles

Short abstract

High spatial resolution data on the geographical distribution of populations have countless uses ranging from epidemics modelling to disaster management and environmental impact assessment. People and livestock also have a profound impact on the environment, which can be spatially informed thanks to high quality data on their number and distribution. Since several years, two different projects have aimed to collect, integrate and redistribute spatial data on people and livestock at continental and global scale. The Worldpop project initially aimed to process and disseminate human population spatial data in developing countries at a 100m spatial resolution, and has now expanded to distribute data on human movement patterns. The gridded livestock of the world (GLW) project was initiated by FAO and now covers six livestock species, at a global extent, and a spatial resolution of 1 km per pixel. Since their origin, both projects have adopted an Open data approach, and have been extensively used in epidemiological, environmental and socio-economic applications.