Drie projecten gehonoreerd binnen de call Data-driven research on Sports & Healthy Living

19 december 2016

Binnen de financieringsronde Data-driven research on Sports & Healthy Living zijn drie onderzoeksvoorstellen goedgekeurd. Consortia bestaande uit Nederlandse en Braziliaanse onderzoekers konden financiering aanvragen voor multidisciplinair, fundamenteel en praktijkgericht, data-gedreven onderzoek op het gebied van sport en gezond leven. In deze ronde was 1,5 miljoen euro (NWO) , 500.000 euro (NRPO-SIA) en maximaal 2 miljoen euro (gebaseerd op een gelijkwaardige matching per voorstel) van FAPESP (Brazilië) beschikbaar voor deze interdisciplinaire samenwerkingsprojecten.

Het doel van de call is om de samenwerking tussen onderzoekers in de staat São Paulo, Brazilië, en onderzoekers (van universiteiten en hogescholen) in Nederland te versterken door de financiering van gezamenlijke projecten waarin data-gedreven onderzoek op het gebied van sport en gezond leven wordt uitgevoerd.

Het programma draagt bij aan onderzoek dat gericht is op het vinden van oplossingen voor de uitdagingen waar ​​onze huidige en toekomstige samenleving voor staat. Uitwisseling van onderzoekers binnen het gezamenlijke project is een belangrijk onderdeel, bijvoorbeeld door het werken van een paar maanden aan de instelling van de onderzoeker in het buitenland.

Door de samenwerking met praktijkgericht onderzoek wordt binnen dit specifieke programma de co-creatie van kennis met publieke en private organisaties gestimuleerd.

De focus binnen de call ligt op drie thema's:
- Data Science en Bioinformatica
- Sport: prestatie en technologie
- Gezond Leven en Preventie: lichamelijke activiteit, geregeld bewegen en een gezonde duurzame omgeving.

De drie gehonoreerde onderzoeksvoorstellen zijn:

The secret of playing football: Brazil versus the Netherlands
Hoofdaanvragers: Prof. dr. K.A.P.M Lemmink (Rijksuniversiteit Groningen / UMCG), Prof. dr. R. Da Silva Torres (University of Campinas)  en Prof. dr. J. Pion (HAN University of Applied Sciences)
Partners: Universiteit Leiden, Inmotio Object Tracking BV, KNVB, PSV, Vitesse, FC Groningen, State, University of Londrina

The project is about unravelling the secret of Brazilian and Dutch soccer by analyzing the playing style of both countries and the development thereof by combining expertise from data science, sport science, applied science, and soccer practice. Features of game play will be approached from two different angles. The first angle concerns features that capture the dynamics of game play and characterize aspects of formation on the pitch.

The second angle will focus on how an attack is built up, and how key events (shots on goal, transitions from defenders to midfielders, etc.) can help to characterize this. This insight is important to remain or return to the highest level of performance in soccer by applying the knowledge in the youth academies and professional clubs of both countries. The applied science part of this proposal is focusing on bridging the gap between fundamental science and soccer practice, i.e. coaches, trainers, clubs and federations. The outcomes of the fundamental part will be implemented in a coach-cockpit, a software application which trainers and coaches can use to (1) decide upon their strategy before a game, (2) analyze player- and team behavior during a game enabling to adjust the strategy accordingly, and (3) choose and/or design training forms to improve player- and team behavior.

From Data to Action: Promoting Active Lifestyle in Wheelchair Users with Spinal Cord Injury or Amputation
Hoofdaanvragers: Prof.dr. T.W.J. Janssen (VU), Prof.dr. Alberto Cliquet Jr. (UNICAMP) en Dr. Marije Baart de la Faille – Deutekom (Inholland University)
Partners: Universiteit Leiden, Hogeschool van Amsterdam, UMCG, EMC, Vita Institute (São Paulo), Digifit, Reade

Many wheelchair users with a spinal cord injury (SCI) or lower-limb amputation lead a very inactive life, their activity level is 40% lower compared to those without disabilities. This lower activity is associated with low fitness levels and high risk of several health complications, such as overweight and obesity, diabetes, cardiovascular disease, and metabolic syndrome leading to a lower quality of life (QoL) and markedly increased medical care and labor-related costs.

The aim of the project is to detect the most important indicators for health and physical activity in wheelchair users. With this knowledge the existing Virtuagym digital platform for health, physical activity and nutrition can be improved for valid use by wheelchair users. This adaptation requires new knowledge about the physiological, nutritional, activity-rest parameters, social and physical context parameters and psychological parameters, which is necessary for valid recommendations by the digital platform.

It is expected that the comparison of e.g. wheelchair users in Amsterdam vs. Sao Paulo or recreative athletes vs. elite athletes provides new insight in the factors determining a healthy and active lifestyle.

Playful Data-driven Active Urban Living
Hoofdaanvragers: Prof. dr. Max Welling (UvA), Prof. Dr. Victor Zuniga Dourado (Federal University of São Paulo (UNIFESP) en Dr. Marije Baart de la Faille - Deutekom (HvA)
Partners: Universiteit Utrecht, Federal University of São Carlos, Glimworm, Info.nl, ZappYou, Amsterdam Smart City

In this proposal the applicants want to understand in more detail how physical activity of city dwellers can be increased by using personalized app technology. What type of app works, is highly individual and this means that the right type of app may depend on the person’s  current physical activity level, health, personality and residential context. How to make the optimal match between app and user is unclear.

The applicants aim to gain insight into the effectiveness of elements within an exercise app (motivational feedback, goal setting, individualized messages, gaming elements) for making people more physically active, and how the effectiveness depends on characteristics of the individual and the urban setting.  The sensors on the mobile phone, together with sensors (beacons) in public spaces, combined with sociodemographic and land use information will generate a massive amount of data.

The implementation of the app in São Paulo and Amsterdam will provide the applicants with (big) data on use of functionalities, physical activity, motivation etc. allowing them to investigate in detail the effects of personalized technology on lifestyle in different geographical and cultural contexts.

Bron: NWO