Open Science Initiatives
Data Science Competitions |
Data Preprocessing |
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Data Science Competitions using the HBN dataset
- Global Challenge. Body-focused Repetitive Behaviors. CMI, Kaggle. Coming Soon!
- Global Challenge. Unraveling the Mysteries of the Female Brain: Sex Patterns in ADHD. WiDS, Bowers WBHI, CMI, Kaggle.
https://www.kaggle.com/competitions/widsdatathon2025
The Unraveling the Mysteries of the Female Brain Global challenge in partnership with Women in Data Science (WiDS) aims to develop models to predict ADHD diagnoses from functional connectomes - extracted from fMRI recordings of brain activity during resting state -, while considering sex differences. Identifying ADHD early and designing therapies targeting specific brain mechanisms in a personalized way can greatly improve the mental health of affected individuals.
Seel also the Increasing Opportunities for Women in Data Science Blog Post - WiDS Datathon++: Unraveling the Mysteries of the Female Brain: Functional Networks Throughout Childhood Development. WiDS, Bowers WBHI, CMI, Kaggle.
https://www.widsworldwide.org/learn/datathon/datathon-university-edition
The Unraveling the Mysteries of the Female Brain University challenge in partnership with Women in Data Science (WiDS) aims to estimate children’s age and sex from functional connectomes extracted from fMRI recordings of brain activity during resting state. This challenge is part of the WiDS Datathon University Program where course instructors teach students data science and machine learning skills. - Global Challenge: Relating Physical Activity to Problematic Internet Use. CMI, Kaggle.
https://kaggle.com/competitions/child-mind-institute-problematic-internet-use
The Problematic Internet Use competition aims to develop a predictive model that analyzes children's physical activity and fitness data to identify early signs of problematic internet use, which can help trigger interventions to encourage healthier digital habits in children and adolescents.
Seel also the Powering AI With Precision NVIDIA Webinar - AI for Good with Child Mind Institute, Dell Technologies, and NVIDIA - Global Challenge. Detect sleep onset and wake from wrist-worn accelerometer data. CMI, Kaggle.
https://kaggle.com/competitions/child-mind-institute-detect-sleep-states
The Detect Sleep States competition aims to enhance researchers' ability to analyze accelerometer data for sleep monitoring, enabling large-scale studies of sleep. The valuable insights into how environmental factors impact sleep, mood, and behavior can inform the development of personalized interventions and support systems tailored to the unique needs of each child.
2025
2024
2023
Open Resources to Process and Analize the HBN dataset
- Reproducible Brain Charts is an initiative focused on the preprocessing, curation, and harmonization of data, including HBN data: https://reprobrainchart.github.io/
- Configurable Pipeline for the Analysis of Connectomes (C-PAC) is a tool for MRI data preprocessing: https://fcp-indi.github.io/