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Open Science Initiatives


Data Science Competitions
Data Preprocessing

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Data Science Competitions using the HBN dataset


    2025
    • Global Challenge. EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding. List of Organizers.
      https://eeg2025.github.io/
      The EEG Foundation Challenge aims to advance the field of EEG decoding by addressing two critical challenges: (1) Cross-Task Transfer Learning: Developing models that can effectively transfer knowledge from any cognitive EEG tasks to active task; (2) Subject Invariant Representation: Creating robust representations that generalize across different subjects while predicting clinical factors

    • Global Challenge. Detect Behavior with Sensor Data. CMI, Kaggle.
      https://www.kaggle.com/competitions/cmi-detect-behavior-with-sensor-data
      The Detect Behavior with Sensor Data competition challenges participants to develop a predictive model capable of distinguishing (1) Body-focused repetitive behaviors (BFRB)-like gestures from non-BFRB-like gestures and (2) the specific type of BFRB-like gesture. Solutions will have direct real-world impact, as the insights gained will inform design decisions about sensor selection and will guide the development of better tools for detection and treatment of BFRBs.

    • 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

    2024
    2023
    • 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.

Open Resources to Process and Analize the HBN dataset