ABCD-ReproNim

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The ABCD-ReproNim Educational Program provides training for responsible and reproducible analyses of the Adolescent Brain Cognitive Development (ABCD) Study® data.

✨ 2027 Hackathon ✨

The 2027 Hackathon will be held April 5-9, 2007, at the Dalmar Hotel in Fort Lauderdale. Learn more and apply by Oct 1!

ABCD-ReproNim Hackathon

GitHub | YouTube Channel | NowIKnowMyABCD

This program is funded by NIH award R25-DA061824.

Program Design

The ABCD-ReproNim Program on Responsible and Reproducible Data Analyses is a free, open, and virtual educational program based on modern active learning educational approaches, including the use of inverted classroom practices, collaborative learning projects, and a hack week model. Using the “flipped classroom” approach, ABCD-ReproNim students first receive didactic instruction across a semester-long online course that includes asynchronous content delivery via video presentations. Additional course readings are provided to enhance and reinforce online lessons, and data exercises are assigned to ensure learning objectives were met. Students are encouraged to self-organize into small, collaborative learning groups and develop proposals for ABCD data analysis projects.

Students may participate in a hackathon, where they apply the skills learned and work towards completion of their project activities and learn to contribute to open-source software.

Program Participants

ABCD-ReproNim training is targeted to students, postdoctoral fellows, and early career faculty.

ReproNim tools and services are intended to support a wide range of users with varied backgrounds, from applied users with minimal or extensive experience in image analysis, physics, and computer science to technology developers and software engineers.

Learning Outcomes

The ABCD-ReproNim Educational Program is designed to achieve six learning outcomes:

  • ballot

    Compare different data types and resources in the ABCD dataset

  • ballot

    Compare different ReproNim computational tools and services

  • lock_open

    Demonstrate the ability to access and analyze ABCD data.

  • lock_open

    Demonstrate the ability to access and use open source software

  • assignment

    Describe best practices in reproducible neuroimaging and explain why they are important

  • group

    Develop and participate in one or more collaborative, team-based ABCD data projects