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

New milestone: 100.000 meal pictures collected

20 November 2020

Children participating in the BigO project are collecting pictures of the meals they eat. Last week, we reached the milestone of 5000 registered users for the myBigO app. Together, these 5000 citizen scientists have submitted 100,000 meal pictures. When looking at all 5000 users, 72% took at least one meal picture. Only 35% of the users…

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22nd Infocom World 2020 conference

13 November 2020

Last week, 4-6 November, the 22nd Infocom World 2020 conference took place. The conference dealt with the challenges, opportunities and changes that 5G technology brings. It was titled “Transforming Greece: The 5G and Fiber Enablers – The Future is Now!”. During this conference, partners from BigO got the opportunity to contribute with a presentation and…

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Presentation about BigO at EDEN OCC2020

6 November 2020

Saterday 7 November (11.00-15.30 CET) a presentation is organized, called: “Schools as sites for Food System Transformation”. This event is organized in the context of the Open Classroom Conference 2020 “New challenges for school change”. Which is aiming to highlight the concept of Open School Culture. The goal of the session is to explore new…

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