Key Dates

Call for Tutorials

We invite researchers and practitioners to contribute tutorial‑style, educational posts that support the Data on the Brain & Mind community. Suitable submissions include:

  1. Dataset Walkthroughs – step‑by‑step guides on accessing or preprocessing emerging neuroscience / cognitive‑science datasets.
  2. Method Tutorials – clear explanations of ML/AI techniques tailored to neural, multimodal, or graph‑structured data.
  3. Critical Reflections – lessons learned, data quirks, pitfalls, or reproducibility tips specific to heterogeneous neuro data.
  4. New Perspectives – conceptual or theoretical insights that spark interdisciplinary dialogue.
  5. Negative or Null Results – cool ideas that didn’t pan out (and why), so others can learn.

All tutorials must publicly share the dataset they use.

Reciprocal Review: To help ensure a fair and high-quality review process, we ask that each submission nominate at least one author to be available as a reviewer for the DBM workshop during September 9-19. It is sufficient if the nominated author has already signed up as a reviewer for the workshop.

If you’re unsure whether your idea fits, email us at
data‑brain‑mind@googlegroups.com.

Conflict of Interest

Authors must declare conflicts, including:

Publication & Poster Option

Accepted posts will be rendered in a unified template (see our submission instructions) and showcased in a poster session during the workshop.

Contact

For Tutorial Track questions or technical issues, email mhs.bastankhah@princeton.edu. For general questions about the workshop email us at data‑brain‑mind@googlegroups.com.