27 - 29 November 2024

%d Days %h Hours %m Min %s Sec to go

Code of Conduct

As all Brainhacks, BrainHack Marseille is dedicated to providing a harassment-free Brainhack experience for everyone,
regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age or religion.

We do not tolerate harassment of event participants in any form.

Sexual language and imagery is not appropriate for any event venue, including talks.

Event participants violating these rules may be sanctioned or expelled from the event.

Register

Registration is open now ...
Deadline is 25th November...


Note that there is a limitation of 80 people on site. Please register only if you are sure about your presence, as we do not want to waste food.
Lunch and social event are not guaranteed for late registrations.

To register to the event, please click on the button below to fill the form.

Program


Program

This year we shall have Trainings on the following topics:
  • Python for beginners
  • Version control using Datalad + BIDS
  • ViT (Vision Transformers) - a library combining transformers for image processing
  • Edge AI - for an overview of advances in AI and a few demonstrations
  • Introduction to Arduino

Wednesday 27th November

09h00-09h45 Welcome to BrainHack Marseille 2024
  • 09h30-09h30 - Welcoming breakfast
  • 09h30-09h45 - Introduction to the event
09h45-13h00 Training session:
  • 09h45-11h45 - Python for beginners
  • 11h45-13h00 - Data Version Control + BIDS
13h00-14h00 Lunch Break
14h00-16h30 Training Session
  • 14h00-15h15 - ViT (Vision Transformers) - a library combining transformers for image processing
  • 15h15-16h30 - Edge AI - for an overview of advances in AI and a few demonstrations
16h30-16h55 Coffee Break
16h55-18h10 Training Session
  • 16h55 - 18h10 - Introduction to Arduino
18h10-18h30 Short projects presentations
18h30 BHM social event with a collective intelligence game! (location: INT, 5th floor)

Thursday 28th November

09h00-13h00 Project Work
  • 09h00-09h30 - Breakfast
13h00-14h00 Lunch Break
14h00-18h00 Project Work
  • 17h00-18h00 - Intermediate Project Presentations
18h00-19h00 Round table Discussion
  • 18h00-19h00

Friday 29th November

09h00-13h00 Project Work
  • 09h00-09h30 - Breakfast
13h00-14h00 Lunch Break
14h00-18h00 Project Work
  • 17h00-18h00 - Final Project Presentations & Brainhack Wrap-up

Projects

Here you can find all the informations about the event projects.
If you want to submit a project you should follow the link, fill the form, and open a github issue. Projects can be anything you'd like to work on during the event with other people (coding, discussing a procedure with coworkers, brainstorming about a new idea), as long as you're ready to minimally organize this!




WISE: Workflow Improvement by Shifting to python in scientific Endeavors

by Alexandre Lainé & Cyprien Dautrevaux

Have you ever wanted, but lacked the time, to learn Python programming to update your data analyses and perhaps enhance them with new tools? In this era where open science is increasingly promoted, we are offering you the opportunity, over the course of two days, to delve into Python and its free tools. The idea behind this project is primarily collaborative; we aim to share our programming expertise to support you in what can sometimes be a long and challenging learning process. The objective is simple: by the end of these two days, we hope to provide you with a better understanding of Python’s role and value, help you begin transitioning some of your scripts and analysis methods, and offer suggestions to improve your workflows. For this project, no prerequisites or prior documentation are required. We will provide you with an interface and a ready-to-use environment so you can start programming, even from scratch. We look forward to seeing you motivated and eager to join this project. If you have any datasets you'd like to work on, feel free to bring them along, and we’ll be here to guide you. Get ready for coding!

Goals for the BrainHack:

Getting use to Python and overall OpenScience, understand the different roles and interests of Python programming in scientific studies, be proud of your own code.

Good first issues
  1. A suitable and functioning Python environment (code environment, coding interface …)

  2. Know where to find informations, and solve code issues

  3. Know the good practices

Communication channels:

https://mattermost.brainhack.org/brainhack/channels/bhg2024_wise-project

What will participants learn?

Learn to use the Python language in the broad outlines, to be able to perform your own analyses and scripts (Statistics, Data exploration, Preprocessing, Automation, Machine learning, Regression …)

Data to use

Feel free to bring your own datasets, and suggest your own analysis interest.

Number of collaborators

more

Credit to collaborators

All contributors are listed on the project's README.md file.

Type

coding_methods, pipeline_development

Development status

0_concept_no_content

Topic

other

Tools

Jupyter, other

Programming language

Python

Modalities

other

Git skills

0_no_git_skills


Required skills

This is a project for beginners. No prior knowledge is required.:
Python: 10%
Motivation: 100%
Willing to progress: 90%

Team

David Meunier

Research Engineer

Dipankar Bachar

Research Engineer

Matthieu Gilson

Junior Professor

Manuel Mercier

Research Associate

Laurie Mifsud

PhD student

Christelle Zielinski

Data Analysis Engineer

Hugo Dary

Research Engineer

Marie Bourzeix

PhD student

Shailesh Appukuttan

Postdoc

Giorgio Marinato

Postdoc

Cyprien Dautrevaux

PhD student

Alexandre Lainé

PhD student

Contact

Location:

Bâtiment pédagogique ( Yellow Building / Le pavillon jaune) Timone campus

27 Bd Jean Moulin, 13385 Marseille