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
On July 15th Dr Christos Diou presented his work on the automated measurement of ingestive behaviors and the BigO project on the SSIB conference. The presentation video is now available on our YouTube channel.
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Dr. Christos Diou will present the BigO project at the annual SSIB meeting, which is this year held online. The Society for the Study of Ingestive Behavior (SSIB) is a non-profit organization committed to advancing scientific research on food and fluid intake and its associated biological, psychological, and social processes. The Society provides a multidisciplinary…
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The BRFAA team in Athens will present three abstracts at the upcoming European Society for Paediatric Endocrinology Meeting, held online from 22-26 September 2021. These are the titles of the abstracts: Evaluation of the BigO system in a clinical setting in Greece (Ref. No.: 262, presented by Athanasia Tragomalou) Evaluation of the BigO system during…
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The BigO project on Twitter
"An innovative citizen-driven project has demonstrated how big data can assist in the design and implementation of strategies to tackle childhood obesity."
Results In Brief | CORDIS | European Commission https://t.co/wTvsu4FECj
@CORDIS_EU #CitizenScience #childhoodobesity
Huge thanks to @SSIBsociety extremely honoured to be invited to present our research in their Big Data session today. Thoroughly enjoyed the fantastic presentations from @Bankslab @cdiou @Witte1Veronica and subsequent discussion.
