Week 12 Data Exercise: This week we ask that students complete a Data Exercise that asks questions about longitudinal modeling and machine learning analytic methods. Please complete the Week 12 Data Exercise after viewing the Week 12 videos. Solutions for this week’s data exercise can be found on our GitHub
Project Month Prep Data Exercise 3: hierarchical clustering of chosen ABCD 4.0 features: In this third and final Project Month exercise we build on a previous exercise to provide an example template for how one might read in and run an analysis using ABCD data. In this particular example we walk you through running a hierarchical clustering analysis of ABCD 4.0 data. However, our hope is that you can use this tutorial as a general guide/starting point to help you creating your own scripts and pipelines for the ABCD data analyses of your choosing (whatever that may be!) during Project Month.
Project Month Registration: The ABCD-ReproNim Project Month (April 4-29, 2022) starts Next Week! Here is information on the planned schedule of events and what to expect. ABCD-ReproNim students are invited to participate in project Month if they have an active ABCD Data Access Confirmation (DUC) and have completed at least 70% of the Main Course weekly Data Exercises (or at least 80% or the AI/ML Course Data Exercises, including the final AI/ML exercise on FAIRness in ML). If you would like to take part in Project Month please fill out our Project Month Registration Form by Friday April 1, 2022.
ABCD Data Access Confirmation: In order to access ABCD Study data (and participate in Project Month!) you will need to obtain a Data Use Certification (DUC) from the NDA. We provide instructions on how to obtain ABCD data access to help with this process. Once you have an approved DUC please complete our ABCD Data Access Confirmation. This assignment is optional and does not count towards completion of the course. However, students who do not successfully complete this assignment will not be allowed to participate in Project Month.
ABCD-ReproNim JupyterHub Access Request: ABCD-ReproNim students with active DUCs can access to the ABCD-ReproNim JupyterHub, a cloud-based scientific computing platform that is fully accessible through an internet browser (see this link for details about the JupyterHub project!) This document introduces the ABCD-ReproNim JupyterHub, how to access it, and outlines some basic usage rules. Students can use the Hub to work on Data Exercises and perform ABCD data analysis projects during the course. ABCD-ReproNim staff will grant access to students with active DUCs who submit an Access Request. Students without an active NDA Data Use Certification are invited to follow the instructions here where they can access the same computational environment locally via Docker.
AI/ML Course: If you are taking the parallel AI/ML Course you can view the videos for Week 5 here.
ABCD Lecture: Analytic Approaches: Longitudinal Modeling and Quantifying Change
ReproNim Lecture: Analytic Approaches: Reproducible Practices in Machine Learning
Instructor Question and Answer Webcast Recording
Recorded in 2020. Note that course-related announcement made during this recording may be out of date. Please see the top of this page for 2022 Course announcements.
- Please take a moment to read our ABCD-ReproNim Code of Conduct.
- Add us to your address book at firstname.lastname@example.org.
- Follow us on Twitter.
- Subscribe to the ABCD-ReproNim Google calendar.
- Join the ABCD-ReproNim Course Slack.
- Create a NeuroStars account and bookmark the ABCD-ReproNim Course NeuroStars category.
- Sign up for a GitHub account and follow the Course GitHub.
- Request access to the ABCD-ReproNim JupyterHub, a cloud-based scientific computing platform that is fully accessible through an internet browser. More info here.
- Hangout in the ABCD-ReproNim Gather.Town. The password to join is "Welcome2022Students".
- Check out our ABCD-ReproNim Course FAQ.