Super Data Science: ML & AI Podcast with Jon Krohn cover image

593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration

Super Data Science: ML & AI Podcast with Jon Krohn

00:00

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.

Play episode from 01:01:01
Transcript

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app