Minds Behind Maps

Maps Are Everywhere. These are conversations with those building them.

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episode 7: 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

I'm sorry I couldn't find the story related to Youtube's video loading times!

 

Please feel free to reach out!

  • My Twitter: https://twitter.com/MaxLenormand
  • Reach out by email: minds.behind.maps@gmail.com
  • For news about the podcast: https://twitter.com/MindsBehindMaps


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 October 2, 2021  1h41m