TrainTrack

The TrainTrack is the educational side of a Brainhack event, and it is the right place for everyone to learn about open science and some important skills for developing in open science.

This year we want to make the TrainTrack a multimodal experience. For many newcomers (but also oldcomers) looking for learning about the latest tools for brainhacking, we want to make this chance the perfect one to really dive in!
The TrainTrack is structured in three layers:

  • mini lectures: to make the most of a virtual event, we want to maximize interactivity; we believe that everyone can take advantage of any pre-recorded videos and watch them whenever it is feasible, to spend the time during the hackathon interacting with other participants;

  • amazing BrainArt tutorials: once again we joined forces with the BrainArt SIG! This year they have pre-recorded tutorials that you can watch whenever you would like and there will be live sessions with the speakers!

  • live Q&A sessions: it does not matter if a topic is new or already known, there is always something to learn when discussing with each other; check the schedule to see when they are going live!

  • hands-on sessions: we believe that learning by doing is invaluable; that is why this year we are organizing hands-on sessions, profoundly inspired from NeuroMatch Academy and linked to the Open Science SIG Fellows initiative.

Pre-recorded tutorials

We collected videos from many of the amazing virtual events from the past year and put together a playlist to prepare for the hackathon! The videos cover six general topics: version control; code testing; reproducible workflows; data visualization; machine learning; community building.

Pre-recorded tutorials

Did anyone say "brain art"? Check these amazing videos out!

Hands-on sessions

Learn by doing always feels like something special - this is why this year we put together a series of hands-on sessions. These sessions need small groups to allow everyone to get their hands dirty, and since we have a limited number of fellows to lead them we are collecting expression of interest to register - we will confirm the registration for every form submitted. If you are interested in multiple topics, you can submit multiple forms, but take into account that we will aim at giving the chance to participate to as more people as we can. You can find the form here.

Learn Git and Github by writing a Git guide on Github

Fellow: Sin Kim

Time slot: Rising Sun

Learn Git and Github by writing a Git guide on Github

Fellow: Eva Lancaster

Time slot: Atlantis

Code testing steps, tools, and tips

Fellow: Han Zhang

Time slot: Atlantis

'I’d like to reproduce your results…' and other tales in Reproducible Workflows

Fellow: Şeyma Bayrak

Time slot: Rising Sun

'I’d like to reproduce your results…' and other tales in Reproducible Workflows

Fellow: Stephane Heunis

Time slot: Atlantis

Introduction to Neuroimaging Data Visualization in R

Fellow: Sid Chopra

Time slot: Rising Sun

Machine learning and Data Visualization with Python

Fellow: Sina Mansour

Time slot: Rising Sun

Introduction to Machine Learning and Data Visualisation with Python

Fellow: Martina Vilas

Time slot: Atlantis

Open Science = Collaborative Science. A Community Building Workshop

Fellow: Jivesh Ramduny

Time slot: Rising Sun

Open Science = Collaborative Science. A Community Building Workshop

Fellow: Marta Topor

Time slot: Atlantis