Fri Nov 1 2024 - Sat Nov 2 Past

Fri - Sat 1 Nov 2024 - 2 Nov 2024Past

DKZ.2R @ Berlin Science Week

Every year the Berlin Science Week transforms the city into a vibrant festival of scientific ideas and debates. With over 180 participating organisations and more than 600 involved scientists, artists, politicians, and other inspiring initiators, Berlin Science Week captivates a diverse audience of over 30,000 participants. From our dynamic festival hubs, CAMPUS at the Museum für Naturkunde Berlin, and Science & Culture FORUM at Holzmarkt 25, to various venues across the city, and online events from around the world, we ignite a lively platform for public exchange around topics of science and research and their role for a better tomorrow for all. Join the conversation, meet curious minds from around the world, and engage with new ideas and perspectives. Together with NFDIxCS, the DKZ.2R is organising an interactive exhibition at the “Museum für Naturkunde” on the first and second of November. We hope to meet you there!

Call for participation

A. Janz
Consulting , Data , RDM , HPC , Data Science , Artificial Intelligence , Machine Learning

Call for participation!

The Data Literacy Center Rhine-Ruhr (DKZ.2R) issues a call for participation in its “rent-an-expert” project! We offer support for ambitious research projects of PhD students and early postdocs dealing with Data Science and Artificial Intelligence, High Performance Computing and Simulation, and Research Data Management. As the DKZ.2R is funded by the German Federal Ministry of Education and Research (BMBF) as well as the EU, this offer is free of charge!

Carpentries Workshop - Introduction to Python

C. Gonzalez
Training , Workshop , Python

Empowering Researchers with Foundational Computing Skills: Join the Upcoming Carpentries Workshop

In today’s fast-paced research environment, the ability to harness computational tools effectively can make a world of difference. Whether you’re managing data or automating tasks, having the right skills can significantly streamline your work. That’s where The Carpentries come in — a global initiative comprising the Software Carpentry, Data Carpentry, and Library Carpentry communities. These communities are dedicated to equipping researchers with essential computational and data science skills, helping them to work smarter, not harder.

How To: Open Science

A. Mielke
Data , RDM , Open Science

Tired of Recreating someone else’s work? - How Open Science can accelerate research and overcome reinvention

Have you ever found papers on algorithms but their implementation is missing? Found an interesting analysis but there is no way to check the results, as you don’t have access to the data they were derived from? Ever thought you had a great idea for a project, just to find out a year later that you are not the only research group following that specific idea? Not having access to other people’s code, data, metrics or even their plans for research projects often leads to unnecessary delays and scientific redundancies. There is an easy solution to overcome (almost) all of these issues. It’s called Open Science! What is Open Science? The UNESCO defines Open Science as a construct of “movements and practices aiming to make multilingual scientific knowledge openly available, accessible and reusable for everyone, to increase scientific collaborations and sharing of information for the benefits of science and society, and to open the processes of scientific knowledge creation, evaluation and communication to societal actors […]”. To ensure that everyone has access to scientific knowledge and infrastructure, Open Science focuses on four main concepts.