Ep 7 - Bruno Sánchez - Microsoft's Planetary Computer, Education & Impact Science

Welcome back to another episode of Minds behind Maps!

In this episode I sit down with Bruno Sánchez-Andrade Nuño, the Program Director of the Planetary Computer at Microsoft as well as the author of "Impact Science: The science of getting to radical social and environmental breakthroughs".

About Bruno:

• Twitter: https://twitter.com/brunosan
• LinkedIn: https://www.linkedin.com/in/nasonurb/
• Website: https://brunosan.eu/
• Bruno's book "Impact Science, The science of getting to radical social and environmental breakthroughs": https://www.goodreads.com/book/show/46137268-impact-science?ac=1&from_search=true&qid=jvKJBnRM5k&rank=1
• "Impact Science" on Amazon: https://www.amazon.com/gp/product/B07SN1L4L2/ref=dbs_a_def_rwt_bibl_vppi_i1

Timestamps:

• 4:20 : Conversation starts, Bruno presents himself
• 10:30 : How Bruno entered Academia
• 14:20 : Science / Engineering duality
• 18:05 : Skills over Knowledge
• 21:15 : How education could be more skill centered
• 29:05 : How Bruno entered geospatial
• 31:51 : At the edge of human knowledge of the Sun
• 36:07 : Leaving NASA to focus on more applied projects
• 40:04 : Trying to work for an NGO: “Bruno we don’t need a rocket scientist”
• 47:53 : Cheap Data Science
• 51:20 : Limitations & Playfulness for clever ideas
• 55:18 : Writing “Impact Science”
• 1:05:01 : From outputs to outcomes: a missing layer in Data Science
• 1:11:08 : Data Informed instead of Data Driven
• 1:17:44: Bruno's work at Microsoft as Program Director of the Planetary Computer
• 1:33:18: Partnerships within the Planetary Computer project
• 1:38:25 : Books & media recommendations

Show notes:

• OpenStreetMap: https://www.openstreetmap.org
• Fast.ai : Applicable Machine Learning framework & lessons
• Kaggle.com: Data Science competition platform
• Origin of the term data science (under 'Etymology'): https://en.m.wikipedia.org/wiki/Data_science
• Bruno’s Medium blog post “In Defense of Cheap Data Science”: https://towardsdatascience.com/in-defense-of-cheap-data-science-f630f248d400
• Chai time data science interview of Jeremy Howard: https://www.youtube.com/watch?v=205j37G1cxw
• India’s night light mapping project: http://india.nightlights.io/
• Microsoft's Planetary Computer: https://planetarycomputer.microsoft.com/
• Book recommendations:
  • A Short History of Nearly Everything by Bill Bryson
  • The Martian by Andy Weir
  • Humankind by Rutger Bregman
  • Factfulness by Hans Rosling
  • Bruno's Goodread: https://www.goodreads.com/author/show/19228134.Bruno_S_nchez_Andrade_Nu_o

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