Welcome

• HIDA
• Helmholtz Open Science Office

Impulse lecture: Open science & reproducibility

• Helmholtz Open Science Office

Research is reproducible when it is possible to (independently) recreate the same results from the same data and same code/analysis as used by the original researcher or team of researchers. Reproducibility enhances collaboration and transparency in science and supports reusability of scientific products. This closely links with the open science endeavour towards the cultural change in science and science communication. Open science aims for a more effective and open exchange of information within science and the promotion of methods and the transfer of scientific results to society, the economy, and politics.

Impulse lecture: Reproducibility in data science and machine learning

• Peter Steinbach (HZDR)

Machine Learning is becoming ubiquitous in many scientific domains. However, practitioners struggle to apply every new addition to the Machine Learning market on their data with comparable effects than published. In this talk, I'd like to present recent observations on reproducibility of Machine Learning results and how the community strives to tackle related challenges.

Wrap-up

• Heidi Seibold
• Annika Strupp
• Silke Gerlich (HMC)
• Tobias Schlauch (DLR)