Hackathon 2021 was the first part of our Grand Challenge Prevent Childhood Obesity. We challenged teams to develop ideas on how childhood obesity can be prevented and give everyone an equal health start in life.
The hackathon was held in March 2021 and was a co-arrangement between SAS Global Hackathon and the project. During the month of the Hackathon, we gave the teams support through virtual events and the competition platform.
The hackathon ended on March 31. Then the teams had sent in films where they presented their concept proposal and a short pitch of how their concept will prevent obesity in children of preschool age. The films and associated pitch were judged by a jury. The outcome of the assessment was presented at a final event in April.
Top 5 Winners Hackathon 2021 of the Grand Challenge Prevent Childhood Obesity:
Family Wellbeing (numera Famli)
Digital Community Twin
A total of 18 teams participated, of which 12 advanced to the final. In the next phase of the Grand Challenge, the top-5 teams and another 3 wild card teams participate.
Several projects also participated in SAS’s global hackathon, where Digital Community Twin and Túpa Fit won.
The pitch films
Background material 2021
1. Paula Frösell, ICA. Changing behaviour – the need for an in-depth understanding of the difficulties of changing eating habits
In the pitch, Paula points to the low compliance that exists when it comes to national advice for food and physical activity. Many in society know what to do, but few will change. The team is challenged to develop solutions that help create a behavioural change. The solution must be able to mobilize companies, healthcare and other actors to be able to offer guardians incentives to change their behaviour and prevent childhood obesity.
2. Jenny Vinglid, HOBS. Promote conversation and dialogue – to talk and inform about children’s health in a non-stigmatized way
How can visualization or other digital services, for example, facilitate communication and interaction between guardians, child welfare centres (BVC) and preschool staff so that dialogue about child obesity does not stigmatize? A central target group here are first-time parents as guardians but also the staff at BVC who need support and tools that promote dialogue with and coaching of families who risk being affected by obesity without the child and the family being blamed.
3. Maria Bjerstam, Region Skåne and Innovation Skåne. Promoting physical activity in preschool children – data-driven evaluation and comparison of preschool outdoor environment
Increased physical activity is a way to counteract childhood obesity. How to promote preschool outdoor environments to activate preschool children. Through the need, teams are challenged to use digital technology (eg image comparison) to develop tools and working methods that enable employees at the preschool and within the municipality to evaluate and compare preschool’s outdoor environments from an activity perspective.
4. Paula Frösell, ICA. The healthy choice in a stressful everyday life – a personalized solution to make it easier to eat healthy in the everyday life puzzle
In this pitch, the team is challenged to create solutions that help parents in the stressful everyday life to choose the right one in the middle of the puzzle of life so that the family can eat healthily. ICA has a lot of data and understanding of purchasing behavior and how families think about e.g. prescription. How can a personalized solution be designed that, through positive incentives, facilitates healthy choices at the moment.
5. Peter Bergsten, Uppsala University. Data-driven simulation of interventions at the societal level – against a municipal digital twin
The pitch points to a vision of a digital twin that represents parts of a municipal operation. The idea with the digital twin is that before implementing actual preventive measures, one can simulate the effects that interventions can have. A focus for teams during the hackathon can be to develop different concepts on how the twin can be designed, another focus can be to work with the challenge of obtaining data for a digital twin of this kind, a third focus can show what can be simulated through the twin.
6. Elin Glad and Christin Anderhov Eriksson, Östergötland Region. To create a sustainable change through visualization – that preventive project initiatives gain a foothold in daily operations
Preventing childhood obesity presupposes that changes and preventive interventions are part of the daily activities in, for example, municipalities. Region Östergötland points to the need for solutions that create sustainable changes – how can data-driven visualization be used for employees in municipalities to capture preventive interventions (preventive measures)?
7. Marija Simic, Karolinska Institutet. Digital coaching of parents from the generation “digital natives”
How, at the time of enrollment, can parents be supported through a digital coach (which is completely digital), possibly with an accompanying health check, to make healthy choices that counteract childhood obesity? Should mom and dad have different views on the digital coach? How is the coach made completely digital and in such a form that suits first-time parents who are “digital natives”; in other words, grew up in a time when smartphones, apps and seamless digitization are a natural part of everyday life.
8. Mariette Derwig, Region Skåne. New computer-driven, innovative ways to visualize the growth curve for children from birth to school start
How can data be used from birth onwards to visualize the weight development for the baby in connection with the follow-up checks at child welfare centres BVC? The target groups for an innovative data-driven visualization will be parents, nurses and doctors. The pitch provides concrete ideas on how the teams can take on the challenge, but also concrete hints on what to avoid.
There are several connections between this pitch and the pitch from HOBS.
9. Åsa Brugard Konde, Swedish Food Agency. The algorithm-driven keyhole machine [and the bonus “Keyhole Detective”]
When deciding which foods are to be keyhole-labelled (a Swedish label for healthy food) – how can we in a data-driven way and through an innovative algorithm identify and select which foods are to be keyhole-labelled? If it becomes easier for companies to find out which products can be keyhole-labelled, then the vision is for more keyhole-labelled foods to reach consumers! Can a gaming dimension be added so that you enable the children in the family to look for keyholes when the families shop – the “keyhole detective”?
10. Elin Annwall, Generation Pep. A transparent data model for informative decisions on how to prevent childhood obesity?
How can a data model look like that collects data from different sources related to the prevention of childhood obesity (eg weight, activity level, geographical areas)? Based on this, how can transparent and open models be created that show differences between children from e.g. different areas and situations – can such a model form the basis for simulation and what can be done with such simulation power? The primary target group could, for example, be public health strategists at the municipal level.
There is a connection here between this need and the pitch made by Uppsala University about a digital twin of municipalities.