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BigO SIGNED

Big data against childhood Obesity

Total Cost €

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EC-Contrib. €

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Partnership

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Project "BigO" data sheet

The following table provides information about the project.

Coordinator
ARISTOTELIO PANEPISTIMIO THESSALONIKIS 

Organization address
address: KEDEA BUILDING, TRITIS SEPTEMVRIOU, ARISTOTLE UNIV CAMPUS
city: THESSALONIKI
postcode: 54636
website: www.auth.gr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Greece [EL]
 Project website https://bigoprogram.eu/
 Total cost 4˙102˙911 €
 EC max contribution 4˙102˙911 € (100%)
 Programme 1. H2020-EU.3.1.5. (Methods and data)
 Code Call H2020-SC1-2016-CNECT
 Funding Scheme RIA
 Starting year 2016
 Duration (year-month-day) from 2016-12-01   to  2020-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ARISTOTELIO PANEPISTIMIO THESSALONIKIS EL (THESSALONIKI) coordinator 1˙114˙500.00
2    UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN IE (DUBLIN) participant 537˙737.00
3    KAROLINSKA INSTITUTET SE (STOCKHOLM) participant 503˙125.00
4    MYSPHERA SL ES (PATERNA) participant 463˙437.00
5    MANDO GROUP AB SE (HUDDINGE) participant 298˙437.00
6    WAGENINGEN UNIVERSITY NL (WAGENINGEN) participant 283˙031.00
7    COSMOTE KINITES TILEPIKOINONIES AE EL (ATHENS) participant 194˙625.00
8    INTERNATIONELLA ENGELSKA SKOLAN I SVERIGE AB SE (TABY) participant 156˙580.00
9    CHILDREN'S UNIVERSITY HOSPITAL IE (DUBLIN 1) participant 156˙062.00
10    IDRYMA IATROVIOLOGIKON EREUNON AKADEMIAS ATHINON EL (ATHINA) participant 134˙375.00
11    ELLINOGERMANIKI AGOGI SCHOLI PANAGEA SAVVA AE EL (PALLINI) participant 117˙500.00
12    DIETHNES PANEPISTIMIO ELLADOS EL (THERMI THESSALONIKI) participant 70˙000.00
13    EKPAIDEFTIRIA N. MPAKOGIANNI ANONYMI ETAIREIA EL (LARISA) participant 56˙875.00
14    LIVSMEDELS VERKET SE (UPPSALA) participant 16˙625.00

Map

 Project objective

Childhood and adolescent obesity is a major global and European public health problem. Currently, public actions are detached from local needs, mostly including indiscriminate blanket policies and single-element strategies, limiting their efficacy and effectiveness. The need for community-targeted actions has long been obvious, but the lack of monitoring and evaluation framework and the methodological inability to objectively quantify the local community characteristics, in a reasonable timeframe, has hindered that. Fortunately, technological achievements in mobile and wearable electronics and Big Data infrastructures allow the engagement of European citizens in the data collection process, allowing us to reshape policies at a regional, national and European level. In BigO, that will be facilitated through the development of a platform, allowing the quantification of behavioural community patterns through Big Data provided by wearables and eHealth- devices. During the project, BigO will reach out to more than 25.000 school and age-matched obese children and adolescents as sources for community data. Comprehensive models of the obesity prevalence dependence matrix will be created, allowing, for the first time the data-driven effectiveness predictions about specific policies on a community and the real-time monitoring of the population response, supported by powerful real-time data visualisations. In short, BigO will provide an innovative new suite, allowing the Public Health Authorities to evaluate their communities based on their obesity prevalence risk and to take local action, based on objective evidence. BigO does not aim to redefine, from the ground-up, the existing obesity-related policy strategies targeting childhood obesity prevalence. BigO does, however, aim to redefine the way those strategies are designed and deployed in the European societies.

 Deliverables

List of deliverables.
BigO personal mobile application Demonstrators, pilots, prototypes 2020-04-24 00:43:04
Target uses scenarios Documents, reports 2020-04-24 00:43:04

Take a look to the deliverables list in detail:  detailed list of BigO deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Christos Diou, Ioannis Sarafis, Vasileios Papapanagiotou, Ioannis Ioakimidis, Anastasios Delopoulos
A methodology for obtaining objective measurements of population obesogenic behaviors in relation to the environment
published pages: 677-690, ISSN: 1874-7655, DOI: 10.3233/sji-190537
Statistical Journal of the IAOS 35/4 2020-04-24
2019 Konstantinos Kyritsis, Christos Diou, Anastasios Delopoulos
Modeling Wrist Micromovements to Measure In-Meal Eating Behavior From Inertial Sensor Data
published pages: 2325-2334, ISSN: 2168-2194, DOI: 10.1109/jbhi.2019.2892011
IEEE Journal of Biomedical and Health Informatics 23/6 2020-04-24
2019 Maramis C, Ioakimidis I, Kilintzis V, Stefanopoulos L, Lekka E, Papapanagiotou V, Diou C, Delopoulos A, Kassari P, Charmandari E, Maglaveras N.
Developing a novel citizen-scientist smartphone app for collecting behavioral and affective data from children population
published pages: , ISSN: , DOI:
Wireless Mobile Communication and Healthcare - 8th International Conference, MobiHealth 2019, Proceedings / Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020-04-24
2018 Christos Diou, Ioannis Ioakeimidis, Evangelia Charmandari, Penio Kassaric, Irini Lekka, Monica Mars, Cecilia Bergh, Tahar Kechadi, Gerardine Doyle, Grace O’Malley, Rachel Heimeier, Anna Karin Lindroos, Sofoklis Sotiriou, Evangelia Koukoula, Sergio Guillén, George Lymperopoulos, Nicos Maglaveras and Anastasios Delopoulos
BigO: Big Data Against Childhood Obesity
published pages: , ISSN: , DOI:
2020-04-24
2018 Maryam Esfandiari, Vasileios Papapanagiotou, Christos Diou, Modjtaba Zandian, Jenny Nolstam, Per Södersten, Cecilia Bergh
Control of Eating Behavior Using a Novel Feedback System
published pages: , ISSN: 1940-087X, DOI: 10.3791/57432
Journal of Visualized Experiments 135 2020-04-24
2018 Christos Diou, Pantelis Lelekas, Anastasios Delopoulos
Image-Based Surrogates of Socio-Economic Status in Urban Neighborhoods Using Deep Multiple Instance Learning
published pages: 125, ISSN: 2313-433X, DOI: 10.3390/jimaging4110125
Journal of Imaging 4/11 2020-04-24
2018 Christos Diou, Ioannis Ioakeimidis, Evangelia Charmandari, Penio Kassaric, Irini Lekka, Monica Mars, Cecilia Bergh, Tahar Kechadi, Gerardine Doyle, Grace O’Malley, Rachel Heimeier, Anna Karin Lindroos, Sofoklis Sotiriou, Evangelia Koukoula, Sergio Guillen, George Lymperopoulos, Nicos Maglaveras, Anastasios Delopoulos Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece; Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden; Division of Endocrinology, Metabolism and Diabetes, First Department of Paediatrics, National and Kapodistrian University of Athens Medical School, “Aghia Sophia” Children’s Hospital, Athens, Greece; Division of Endocrinology and Metabolism, Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece; Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece; Department of Agrotechnology and Food Sciences, Wageningen University, Wageningen, Netherlands; Mando Group AB, Stockholm, Sweden; University College Dublin, Dublin, Ireland; Temple Street Children’s University Hospital, Dublin, Ireland; Internationalle Engelska Skolan I Sverige AB, Stockholm, Sweden; National Food Agency, Uppsala, Sweden; Ellinogermaniki Agogi, Athens, Greece; Ekpedeftiria N. Mpakogianni, Larissa, Greece; MySphera – TSB RTLS, Valencia, Spain; Cosmote Mobile Telecommunications SA, Athens, Greece
BigO: Big Data Against Childhood Obesity
published pages: 127-P3: Fat, Met, ISSN: , DOI:
ePoster 57th Annual ESPE Meeting (Europ 2020-04-24
2018 Christos Diou, Ioannis Ioakeimidis, Evangelia Charmandari, Penio Kassaric, Irini Lekka, Monica Mars, Cecilia Bergh, Tahar Kechadi, Gerardine Doyle, Grace O’Malley, Rachel Heimeier, Anna Karin Lindroos, Sofoklis Sotiriou, Evangelia Koukoula, Sergio Guillen, George Lymperopoulos, Nicos Maglaveras, Anastasios Delopoulos Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece; Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden; Division of Endocrinology, Metabolism and Diabetes, First Department of Paediatrics, National and Kapodistrian University of Athens Medical School, “Aghia Sophia” Children’s Hospital, Athens, Greece; Division of Endocrinology and Metabolism, Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece; Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece; Department of Agrotechnology and Food Sciences, Wageningen University, Wageningen, Netherlands; Mando Group AB, Stockholm, Sweden; University College Dublin, Dublin, Ireland; Temple Street Children’s University Hospital, Dublin, Ireland; Internationalle Engelska Skolan I Sverige AB, Stockholm, Sweden; National Food Agency, Uppsala, Sweden; Ellinogermaniki Agogi, Athens, Greece; Ekpedeftiria N. Mpakogianni, Larissa, Greece; MySphera – TSB RTLS, Valencia, Spain; Cosmote Mobile Telecommunications SA, Athens, Greece
57th Annual Meeting of the European Society for Paediatric Endocrinology (ESPE)
published pages: I-II, ISSN: 1663-2818, DOI: 10.1159/000492311
Hormone Research in Paediatrics 90/1 2020-04-24
2018 Vasileios Papapanagiotou, Christos Diou, Ioannis Ioakimidis, Per Sodersten and Anastasios Delopoulos
Automatic analysis of food intake and meal microstructure based on continuous weight measurements
published pages: , ISSN: , DOI:
2020-04-24

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