NeuroJSON AutoBIDSify Training Workshop/Hackathon 2026

1. Summary

2. Event agenda

3. Organizer contact info

1. Summary

Where

Zoom (link will be sent to the registered participants)

When

March 26, 2026, 11 AM – 1 PM EST for the workshop and 1:30 – 3:30 PM EST for the hackathon

What

In this remote-based workshop/hackathon, we will teach participants step-by-step how to use our large-language-model-(LLM)-empowered Auto-BIDSify — a fully automated neuroimaging data standardization framework that integrates semantic reasoning with rule-based execution to convert heterogeneous neuroimaging files into BIDS datasets. Using examples, we will show participants how to set up Auto-BIDSify, prepare your source data folders, and run a fully automated end-to-end data conversion pipeline to create BIDS-compatible dataset packages. We will primarily use Jupyter Notebook to give interactive demos and allow participants to use it as a playground for converting diverse data files, including your lab-specific datasets.

Registration fee

Zero! Nada! Nil! This workshop is free to all researchers! We thank the funding support from the NIH/NINDS under Award# U24-NS124027.

What do you need

A laptop that can be connected to the Internet using Wi-Fi/cable.

How to register

Limited seats are available. Please register using this link.

2. Event agenda

All time marks below are in the US Eastern Standard Time (EST).

Training Workshop (11 AM – 1 PM EST)

In the training workshop portion, we will use organized-prepared datasets and pre-made Jupyter Notebook to teach participants how to setup, configure and use AutoBIDSify for converting arbitrary input data files to produce BIDS compatible packages.

Agenda: TBD

Hackathon (1:30 PM – 3:30 PM EST)

In the hands-on hackathon portion, we will assign each participant an assistant and guide them step by step in converting their lab-specific datasets (if one does not have lab dataset to convert, you may choose from a list of public datasets to further practices Autobidsify data conversion pipeline)

Agenda: TBD

3. Organizer contact info

If you have any questions regarding this event, please feel free to contact the organizers. Their contact info is listed below.

• Rose (Yiyi) Liu (workshop co-instructor)
  • Email: liu.yiyi3 at northeastern.edu
• Prof. Qianqian Fang
  • Email: q.fang at neu.edu
  • Office: ISEC 223