Big data against childhood Obesity
Children and adolescents with obesity have a higher risk of developing various diseases later on, compared to children without obesity. The reasons why some children become obese are complex, and behaviour, the living environment, and public health policies all play a role. BigO collects and analyses anonymous data on children's behavioural patterns and their living environment. With advanced analytics BigO extracts data-driven evidence on which local factors are involved, and how these factors influence childhood obesity in Europe.
With this information BigO will be able to advice clinics and public health authorities on how to develop and plan effective programs and policies in an attempt to reduce childhood obesity.
Monday 18 May, EA had the opportunity to present to fifteen teachers participating in the Generation Next Training. Generation Next is an educational program for the development of skills with free access for all, to new technologies and science. SciCo, which is an organisation that aims to create interest for science by young people, facilitates…Read more >
On Wednesday June 3th 14:00 (CET) the BigO consortium will host a webinar in which the project, platform, and first results will be presented. You can register now! The BigO project is a European funded ICT big data which aims to develop and validate a digital platform to collect data on children’s behavior patterns and their living environment. With…Read more >
Two new preprints from BigO are now online! The first preprint is titled ‘Collecting big behavioral data for measuring behavior against obesity’. This paper presents a system which can objectively and automatically extract and collect behavioral information on the individual-level. The behavioral information extracted is all related to physical activity, for example, types of visted…Read more >