HopeLab
E817529
HopeLab is a nonprofit social innovation lab that develops science-based digital tools and interventions to improve the mental health and well-being of young people.
All labels observed (1)
| Label | Occurrences |
|---|---|
| HopeLab canonical | 2 |
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
nonprofit organization
ⓘ
research organization ⓘ social innovation lab ⓘ |
| aimsTo |
improve mental health outcomes for young people
ⓘ
reduce anxiety and depression in young people ⓘ support emotional well-being of youth ⓘ |
| collaboratesWith |
clinicians
ⓘ
community organizations ⓘ researchers ⓘ technology partners ⓘ |
| develops |
digital interventions
ⓘ
digital tools ⓘ science-based interventions ⓘ |
| emphasizes |
equity in youth mental health
ⓘ
evidence-based practice ⓘ measurement and evaluation of interventions ⓘ |
| field |
digital health
ⓘ
mental health innovation ⓘ youth development ⓘ |
| focusesOn |
adolescent mental health
ⓘ
well-being of young people ⓘ young adult mental health ⓘ youth mental health ⓘ |
| hasApproach |
co-design with young people
ⓘ
evidence-informed ⓘ science-based ⓘ |
| mission | to improve the mental health and well-being of young people through science-based digital tools ⓘ |
| orientation |
innovation-driven
ⓘ
social impact ⓘ youth-centered ⓘ |
| produces |
digital health products
ⓘ
mental health apps ⓘ online interventions ⓘ |
| sector | nonprofit ⓘ |
| targetPopulation |
teens
ⓘ
young adults ⓘ youth of diverse backgrounds ⓘ |
| usesMedium |
digital games
ⓘ
mobile applications ⓘ web-based platforms ⓘ |
| usesMethod |
behavioral science
ⓘ
design research ⓘ human-centered design ⓘ psychology ⓘ |
| worksOn |
resilience-building tools for youth
ⓘ
social support interventions for young people ⓘ tools to promote positive coping skills ⓘ tools to reduce loneliness in youth ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: HopeLab Description of subject: HopeLab is a nonprofit social innovation lab that develops science-based digital tools and interventions to improve the mental health and well-being of young people.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.