#SKILLS: Streamlining Data-Driven - Collaborative Tools and Reproducible Techniques

Strengthen your skills: The IDea_Lab skills workshops offer members of the university of Graz the opportunity to deepen their know-how on AI, Big Data and data-driven research. The workshops are characterized by their focus on cutting-edge technology topics and their hands-on character.

This workshop will be held in English!

This workshop will focus on the challenges and solutions for collaboration and reproducibility in data-driven research projects. Key topics include addressing the hurdles of collaborative work, employing the Cookiecutter Science Template for standardized project structure, using Docker for consistent and reproducible development environments, and leveraging Git for version control, crucial in modern software and research projects. This combination of tools and practices aims to enhance the efficiency and quality of data research collaboration.

This workshop will be held over two days:

• 27.05.2024: 9am - 12pm
• 28.05.2024: 9am - 12pm

Prerequisites

• own laptop with installed requirements for the Cookiecutter package see https://github.com/tgoelles/cookiecutter_science for more info
• knowledge in Python (optionally R or Julia

The speaker

Thomas Goelles, Ph.D., is a scientist at the University of Graz and Virtual Vehicle Research, specializing in avalanche detection using satellite remote sensing and lidar data. He has a keen interest in data analytics and research quality enhancement through automation. Thomas Gölles co-founded a guiding company and a data science company, and he‘s currently working on a university spin-off related to avalanches and lidar.

If you are interested please register via Eventbrite (Privacy Policy in German) for the workshop!