
593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration
Super Data Science: ML & AI Podcast with Jon Krohn
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Importance of Openness in Data Science and Future Advancements
The chapter emphasizes the significance of open source, open science, and open scholarship in data science, advocating for open data sharing for the growth of the field. It discusses the challenges faced in accessing research due to paywalls and the benefits of promoting open access and preprints. The conversation also explores the exciting technological advancements impacting data science and biological research, the cultural shift towards collaboration and open data, and the potential for citizen science to contribute significantly.
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