Local Chapter Amsterdam, Netherlands Chapter
Coordinated by,
Status: Completed
Project Duration: 01 Apr 2023 - 14 May 2023
Loneliness is a growing societal problem that affects many people, and it has become even more prevalent in recent years due to the COVID-19 pandemic. One in ten Dutch adults is suffering from severe loneliness. Risk factors for loneliness are on the rise and expected to increase. Loneliness can raise a person’s risk of death by 45% – more than air pollution, obesity or alcohol abuse.
In January 2023, despite a wealth of relevant research already published, the Dutch National Organization for Research (NWO) has highlighted the issue once again and has issued a call for more research into the different types of loneliness, its causes and effects. Special attention is required towards the taboos that surround loneliness and to five prioritized target groups: minors (11-17), young adults (17-26), people with light mental or physical abilities, elders with a non-western migration background and caretakers of people with chronic illnesses or handicaps.
The goal for this challenge will be to shed more light on the issues highlighted above. Current research is mostly based on questionnaires issued by local health authorities. However, in light of the taboo around loneliness, these self-reported results may underrepresent or bias the true degree of loneliness. Using public datasets on risk factors, scraping social media or combining other datasets could ameliorate our current understanding. The research scope may also be focused on consequences or solutions.
For example, do social media posts reflect positively on anti-loneliness campaigns? Can we find patterns that indicate a taboo around loneliness? Can we predict an increase in loneliness or related health outcomes based on trends in risk factors?
Loneliness is a persistent, detrimental and growing health crisis in the Netherlands. Any new insights in the underlying causes, effects and successful intervention can support the battle.
Week 1
Defining the problem and collecting/mapping datasets.
Week 2
Select final dataset and perform necessary data manipulations.
Week 3
Data analysis and juxtaposition with problem statement
Week 4
Formulation of conclusion
Week 5
Potential to develop tool
Week 6
Potential to develop tool
– Interacting with a real, tangible problem.
– Complex reasoning.
– Manipulation and analysis of multivariable datasets.