108 min listen
Ep 7 - Bruno Sánchez - Microsoft's Planetary Computer, Education & Impact Science
Ep 7 - Bruno Sánchez - Microsoft's Planetary Computer, Education & Impact Science
ratings:
Length:
101 minutes
Released:
Oct 2, 2021
Format:
Podcast episode
Description
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/brunosanLinkedIn: 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 himself10:30 : How Bruno entered Academia14:20 : Science / Engineering duality18:05 : Skills over Knowledge21:15 : How education could be more skill centered29:05 : How Bruno entered geospatial31:51 : At the edge of human knowledge of the Sun36:07 : Leaving NASA to focus on more applied projects40:04 : Trying to work for an NGO: “Bruno we don’t need a rocket scientist”47:53 : Cheap Data Science51:20 : Limitations & Playfulness for clever ideas55:18 : Writing “Impact Science”1:05:01 : From outputs to outcomes: a missing layer in Data Science1:11:08 : Data Informed instead of Data Driven1:17:44: Bruno's work at Microsoft as Program Director of the Planetary Computer1:33:18: Partnerships within the Planetary Computer project1:38:25 : Books & media recommendations Show notes:OpenStreetMap: https://www.openstreetmap.orgFast.ai : Applicable Machine Learning framework & lessonsKaggle.com: Data Science competition platformOrigin of the term data science (under 'Etymology'): https://en.m.wikipedia.org/wiki/Data_scienceBruno’s Medium blog post “In Defense of Cheap Data Science”: https://towardsdatascience.com/in-defense-of-cheap-data-science-f630f248d400Chai time data science interview of Jeremy Howard: https://www.youtube.com/watch?v=205j37G1cxwIndia’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 BrysonThe Martian by Andy WeirHumankind by Rutger BregmanFactfulness by Hans RoslingBruno's Goodread: https://www.goodreads.com/author/show/19228134.Bruno_S_nchez_Andrade_Nu_oI'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/MaxLenormandReach out by email: minds.behind.maps@gmail.comFor news about the podcast: https://twitter.com/MindsBehindMaps
Released:
Oct 2, 2021
Format:
Podcast episode
Titles in the series (68)
Ep 12 - Tyler Erickson - Google Earth Engine, Curiosity & Working With and For a Community: Tyler Erickson is a Developer Advocate at Google, more specifically working on Google Earth Engine - a platform providing access to many different Earth Observation datasets merged together - allowing users to focus more time on building their solutions. by Minds Behind Maps