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Reproducible Research - Data Science: An Introduction - 6.4
Reproducible science with the Renku platform- Sandra Savchenko-de Jong (Swiss Data Science Center)
Andreas Schreiber - Provenance for Reproducible Data Science
Reproducible Data Science with Docker Containers - Ben Hamner
Engineers, data scientists, and AI: Maximizing value through collaboration
Project Jupyter with Brian Granger
What is Data Science
Methods and Data Resources for Reproducible Large-Scale Studies of the Developing Brain
XLDB-2019: Enabling Responsible Analytics - Bias-Corrected and Privacy-Preserving Training Data
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Last Updated: October 26, 2026
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Subtitle: Exploring Allen Institute's 200TB Open Microscopy Image Dataset in Python Speaker: Jackson Brown, Quilt Speaker: Brian Granger, Cal Poly, co-founder Project Jupyter Speaker: Bill Howe, University of Washington Ensure your works legacy. Future proof it with the principles of This talk video is a node in devreal.ai, the developer community graph. It connects to: Talk: Sandra Savchenko-de Jong offers an overview of Renku, a highly scalable and secure open software platform developed by the ... Container Camp SF 2016 - container.camp Ben Hamner - CTO of Kaggle One of the biggest pain points in Nick Patience, Co-Founder of 451 Research, explains how the roles of the engineer and the Title: Project Jupyter: From Computational Notebooks to Large ReproNim Webinar June 2022 by Ted Satterthwaite.
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