25
Sep
-
01
Oct
©Ameer - stock.adobe.com
Workshop
MCML Workshop on Reproducibility and Scientific Computing
Organized by Our Transfer Coordinators Moritz Herrmann and Martin Binder
25.09.2024 - 01.10.2024
LMU Munich, tba
Join us for an intensive 5-day workshop on computational reproducibility and scientific computing organized by the MCML.
Each day runs from approximately 9:00 AM to 5:00 PM, starting with lecture-style sessions in the morning. After a lunch break, most afternoons will be dedicated to hands-on tutorials, where you can apply the concepts learned in the morning sessions.
This workshop is designed to provide a balanced mix of theoretical background and practical skills, ensuring you gain a thorough understanding of key topics, including writing reproducible manuscripts for small-scale data analysis projects, high-performance computing (HPC) for large-scale projects, packaging and software development.
Organized by:
Moritz Herrmann MCML Reproducibility and Open Science Transfer Coordinator
Martin Binder MCML Open Source and Open Data Transfer Coordinator
Related
Workshop • 14.11.2025 • Munich, Germany, near the main buildings of LMU Munich and the Technical University of Munich.
The Data & AI Ethics Workshop
The Data & AI Ethics Workshop will take place on 14 November in Munich and brings together researchers to discuss ethical challenges in data and AI.
Workshop • 12.11.2025 - 13.11.2025 • LRZ Garching, Seminarraum 2
SuperMUC-NG AI Hackathon on Intel Data Center GPUs
SuperMUC-NG Phase 2 partition, which features Intel Ponte Vecchio accelerators. From November 12-13 2025 at LRZ.
Workshop • 29.10.2025 • Bavarian Academy of Sciences and Humanities Alfons-Goppel-Str. 11 80539 München
Influence of AI Algorithms on Individual and Collective Memory
AI, Ethics & Society Workshop 2025 in Munich: talks and networking by BAdW, MCML & bidt.
Workshop • 10.10.2025 • Montreal, Canada
Workshop NLPOR @COLM 2025
NLPOR aims to strengthen the emerging connection between Natural Language Processing and Public Opinion Research.