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.

Latest News

BigO attended the Annual Conference of the Athens Medical Society

30 June 2020

On 19-20 June 2020 BigO attended the 46th Annual Conference of the Athens Medical Society. Normally, the conference takes place in Athens. However, due to the corona pandemic, the Athens Medical Society decided to transistion the conference to an interactive online event. BigO contributed with an e-poster entitled: BigO: Collecting Big Data with the use…

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The BigO webinar is now available to watch online

9 June 2020

Last wednesday, the BigO webinar was organized. The webinar was a great succes. In total, 115 people registered for the webinar. People from more than twenty countries all across the globe joined the webinar. The five presentations given discussed the BigO project both from a technical perspective and a user perspective. Did you miss our…

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Newsletter #3

5 June 2020

The third BigO Newsletter is out! This newsletter gives a nice overview of the BigO project. It also includes the technical development results of year 3, the amount of data collected and all scientific publications. Click here to read it. If you do not want to miss the next newsletter, sign up for here.

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