Decentralizing Data Science at LabDAO | Stanley Bishop (aka Science Stanley)

Jan 9, 2023

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Welcome to another episode of the DeSci Podcast. In this episode, Stanley Bishop, AKA Science Stanley, data scientist and head of data science at LabDAO talks about AI, what it means to be a data scientist and how it intersects with decentralized approaches. We also talk about how this can be applied across individual health, collective health, the planets, genome sequencing and language models and what this could mean for the future of the organization and the future of work.

Stanley Bishop also talks about LabDAO’s collaboration with "Research to the People" in order to build an integrated and traditional data marketplace where treatments can be shared between physicians so they can compare notes and figure out the best clinical path for their patients which can be impactful for patients that might have rare or complex conditions, New Atlantis DAO and its mission to provide a solution for climate change and many more.

Navigate through the topics discussed in this podcast using the timestamps below.

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Timestamps:

0:00 Intro
1:38 What is a data scientist?
3:09 How has that led you to Lab DAO?
04:51 What does being a data scientist within a DeSci organization look like?
06:15 What projects are LabDAO working on right now?
09:18 LabDAO overall structure.
11:56 LabDAO's partnership with Research to the people.
16:17 The future of translational research.
18:36 What else is possible with DeSci?
23:42 New Atlantis DAO.
31:07 Recommendations for scientists transitioning into Web 3.
34:09 Collaboration with TalentDAO.
42:13 Other use cases of TalentDAO.
46:16 What AI trend do you expect to gain traction in the future?
50:39 Remunerating contributors.

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If you want to join us on the show as a speaker or have guest ideas, please shoot us a mail at podcast@molecule.to

Special thanks to:

Erin Magennis (Host): https://twitter.com/erinmagennis
Stanley:https://twitter.com/ScienceStanley

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Let's connect:

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Twitter: https://twitter.com/Molecule_dao
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