A small group of scientists spontaneously got together to become part of Brainhack Global 2021 at short notice. In cooperation with Peer Herholz from the University of Frankfurt, we would like to invite you to our Local Magdeburg & Frankfurt Brainhack 2021. There will now be daily updates via this page or via email if you are registered for the event.
07 – 08 December 2021 I 1-6 p.m. I Zoom (Login data upon registration)
What to expect:
- Keynote by Dr. Steffen Bollmann (University of Queensland, Australia): “Neurodesk“
- Unconference session about “Data sharing under GDPR”
- Hands-on tutorials about Introduction to Python, Introduction to R, fMRI in Python, Metaanalysis in R
- Open Hacking (also for trouble shooting): Feel free to bring your data/publications/questions
Webpage and Schedule: https://brainhack-magdeburg.github.io
Programm at glance:
1 p.m. Welcome & Introduction brainhack 101 by Peer Herholz and Isil Bilgin (Brainhack Global Committee)
2:15 p.m. Tutorial 1: Introduction to Python – Ruslan Klymentiev
This introductory tutorial covers the very first steps how to start working with Python (installation, different IDEs, where to get help, and resources to learn python) and brings you closer to the first coding.
3:15 p.m. Break
3:30 p.m. Tutorial 2: fMRI in Python – Alexander Weuthen
This tutorial will discuss how to use Python programming language in the analysis of functional magnetic resonance imaging data with focus on the libraries Nipype and Nilearn.
4:30 p.m. Unconference: Dr. Esther Kühn (IKND, OVGU Magdeburg) “Hacking a new research field – Challenges and career strategies”
5 p.m. Open end and Social → Zoom
1 p.m. Welcome
1:15 p.m. Tutorial 3: Introduction to R – Elisa Lancini
This short tutorial will give an overview of the basis of the syntax, common functions and basic operations in R.
We will take the first steps together to discover the basics of R programming and get solid foundations for future learning.
The tutorial will be followed by a hands-on part where you can download the code shown during the tutorial and try to use it with your own data.
2:15 p.m. Tutorial 4: Meta-Analysis in R – Elisa Lancini
During this tutorial you will be walked through the process of conducting a meta-analysis: from preparing the data in excel to the functions used in R to assess outliers and complete the effect-size calculation. The tutorial is based on analyses conducted for this publication:
3:15 p.m. Break
3:30 p.m. Open Hacking
4:30 p.m. Unconference: “Data sharing under GDPR”
Registration via mail to: firstname.lastname@example.org