Course Design

The ABCD Course 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.

At the completion of the online course, students may participate in a Project Week, 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.