Projects

Got a project idea? Submit! Project submissions for Brainhack Donostia 2021 are now OPEN!

Contact us if you are not sure about your project being eligible, or don’t know how to fill in the submission form.

Submit

Key points

We want to encourage participants to join the event with their mindset ready to collaborate on projects and hope it will also lead to a better chance of collaborating and networking. At the same time, we hope it will help project leaders get collaborators too.

Activities carried out during Brainhack Donostia 2021 can result in useful outputs for the neuroscience community. We highly encourage you to submit a project for this year’s edition. If you are in need of inspiration, have a look at the project ideas we have received so far, or check out the projects submitted to Brainhack Global last year.

For attendees:

  • Attendees are required to commit to a project for the duration of Brainhack Donostia 2021.
  • Attendees can work on any of the projects on the Brainhack Global website.
  • Attendees will receive an email days before the event to select the project they will work on.
  • Projects are the perfect chance for active collaboration, networking and hands-on learning, both during and after the event.

For project leaders:

  • Projects can focus on any technique or method, use behavioral or neuroimaging data, or explore any topic related to Open Science.
  • Projects can involve any stage of the scientific process, from data acquisition to analysis and documentation, as well as data visualization and scientific publication.
  • Projects can also be focused on creating tutorials or improving the documentation of a library/program, or even replicating a paper (and dockerize it!).

Projects submitted so far

Aroma

ICA-AROMA (i.e. ‘ICA-based Automatic Removal Of Motion Artifacts’) concerns a data-driven method to identify and remove motion-related independent components from fMRI data. To that end it exploits a small, but robust set of theoretically motivated features, preventing the need for classifier re-training and therefore providing direct and easy applicability. The aim of this project is to modify the original ICA-AROMA code in order to restructure it into a pure Python package; e.g., dropping FSL calls in favor of pure Python functions.

Eneko Uruñuela

abstract2poster

Do you need your poster ready to print/upload in two hours? Abstract is ready but you cannot bother to read it anymore? Imagine you could automatize the abstract->poster transformation, and then just tweak a few minor things to make it shine and impress everyone in that conference! In the abstract2poster project we will work towards developping a pipeline to translate your abstract to a ready-to-present poster. How? We are planning to use `Jekyll` but other ideas are welcome!

Amaia Carrion Castillo (@amaiacc)