Imagine a smart app that acts like a digital fitness tracker, but for your brain's relationship with the internet. It spots when a teenager is sliding from healthy browsing into a harmful addiction by tracking behavior and reactions. Then, it suggests a personalized plan to help them regain control and feel better.
Adolescents are increasingly suffering from mental health issues due to problematic internet usage, which current generic tools fail to diagnose or treat effectively.
A digital screening app using passive phenotyping and cognitive tests, algorithm-based prediction models for interventions, and a policy toolkit for digital rights.
If you are a mental health app developer dealing with high user churn due to generic advice — this project developed algorithm-driven models that predict the most effective self-management interventions. This allows for personalized prevention that improves user well-being.
If you are a social media platform provider dealing with regulatory pressure regarding youth safety — this project developed a policy toolkit to promote digital rights accountability. This helps companies implement responsible digital policies to protect vulnerable groups.
If you are an EdTech software provider dealing with students' declining focus due to internet overuse — this project developed a digital screening and assessment platform. It identifies at-risk individuals using passive digital phenotyping and cognitive tests.
Based on available project data, no specific pricing or cost details are provided, although the project aims to test the cost-effectiveness of interventions.
The project is testing its tools across 9 countries with a diverse cross-cultural sample, suggesting a design intended for wide European scale.
Based on available project data, there is no specific information regarding IP or licensing agreements.
The project focuses on digital human rights accountability and the creation of a policy toolkit for local, national, and EU level regulation.
The project period runs from 2023-07-01 to 2028-06-30, indicating a long-term development and validation cycle.
The consortium is heavily research-oriented with 18 universities and 5 research institutes, but it includes 2 SMEs and 2 industry partners. With 27 partners across 15 countries, the project has strong academic validation and a wide geographic reach, though the low industry ratio (7%) suggests the current focus is on scientific validation rather than immediate commercialization.
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Contact us to explore licensing opportunities for the PUI screening algorithms.
