Minds Behind Maps

著者： Maxime Lenormand
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  • Maps Are Everywhere. These are conversations with those building them.
    2022 - Maxime Lenormand
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あらすじ・解説

Maps Are Everywhere. These are conversations with those building them.
2022 - Maxime Lenormand
リーダーシップ 地球科学 数学 経済学
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エピソード
  • How Bloomberg's Data Scientists use Satellite Images for Reporting: Krishna Karra - MBM78

    How Bloomberg's Data Scientists use Satellite Images for Reporting: Krishna Karra - MBM78
    2024/12/16

    Krishna Karra is a data scientist & report for Bloomberg, having used machine learning & satellite images for reporting. Recent stories from him & his team include mapping refugee camps in Rafah & exposing illegal ship oil transfers in the middle of the Ocean.

    Sponsor: Beemaps by Hivemapper

    Get access to high quality, fresh map data at https://beemaps.com/minds
    Use promo code MINDS to get 50% off your API credits through Dec. 31 2024

    About Krishna
    • Twitter
    • LinkedIn
    Shownotes

    Note: Links to books are Amazon Affiliate links. I earn a small commission if you buy any of these books.

    • Bloomberg: The Clandestine Oil Shipping Hub Funneling Iranian Crude to China
    • Bloomberg: A Detailed Map Shows How Airstrikes and Refugees Reshaped Rafah
    • How Radar Satellites See through Clouds (Synthetic Aperture Radar Explained)
    • National Land Cover Database (NLCD)
    • What Ukraine Has Lost
    • Graves in Suda by Joe Morrison
    • Jean Martin Bauer on Minds Behind Maps
    • Books & Podcast:
      • Overstory by Richard Powers (Affiliate Link)
      • Ezra Klein Show
    Timestamps

    (00:00) - Intro

    (00:34) - Sponsor: Beemaps

    (01:51) - Krishna describes himself

    (03:27) - Example stories: Illegal Oil transfers

    (05:29) - Stories are the goal

    (07:07) - Why publish the data set?

    (12:24) - How Journalism has and hasn't changed

    (14:04) - How data changes a story

    (18:23) - Putting the datasets together

    (20:37) - Conveying trust

    (24:07) - Showing the limitations of the data

    (26:11) - Why is journalism important for satellite data?

    (30:14) - News room process

    (32:57) - Building custom tools

    (38:19) - Timeline of a news story

    (39:47) - What Krishna has learned as a data scientist in a news room

    (40:49) - Stories that have stuck out

    (42:57) - Different ways of showing the data

    (44:19) - Krishna's wishlist

    (51:12) - Book & podcast recommendation

    (53:16) - Paid podcasts & media

    (55:19) - Support the podcast on Patreon

    • Support the podcast on Patreon
    • My Twitter
    • Podcast Twitter
    • Read Previous Issues of the Newsletter
    • Edited by Peter Xiong
    • Find more of his work
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    57 分
  • How Ex-Vox Video Producer Phil Edwards thinks about Maps to tell stories - MBM77

    How Ex-Vox Video Producer Phil Edwards thinks about Maps to tell stories - MBM77
    2024/11/23
    Phil Edwards is a video producer who worked at Vox for nearly 10 years, and now runs his own Youtube channel exploring the history of businesses, and lately has been using more and more maps. We go over one of his latest videos, “The Secret Economics of Google Street View” as a case study of how Phil thinks about maps to tell stories. We also talk about journalism on Youtube, and the business behind running a Youtube channel today.Sponsor: Beemaps by HivemapperGet access to high quality, fresh map data at https://beemaps.com/mindsUse promo code MINDS to get 50% off your API credits through Dec. 31 2024About PhilTwitterPhil's BlueskyPhil’s YoutubeShownotesNote: Links to books are Amazon Affiliate links. I earn a small commission if you buy any of these books.Phil’s trivia siteGeoGuessrPhil’s video about Google Street ViewBook & Podcast recommendations:3 Scientists & Their Gods by Robert Wright (Affiliate Link)The Evolution of God by Robert Wright (Affiliate Link)On the Edge by Nate Silver (Affiliate Link)Freakonomics podcastAcquired PodcastMy conversation with Ashlee VanceWild Wild Space documentaryNeoHoogTimestamps(00:00) - Intro(00:52) - Sponsor: Beemaps(02:08) - Who is Phil Edwards?(03:13) - What does a Video Producer do?(04:29) - Chosing topics & stories(06:38) - Maps in video production(10:14) - Bringing a different element to maps stories(12:15) - Explaining Complicated Things(15:49) - Case Study: Google Street View Video(20:07) - Geoguessr(23:03) - Story & Journalism on Youtube(27:25) - Stories that Phil wants to work on(30:54) - Importance of visuals(34:58) - Learning Curve in Mapping & Animation(40:26) - Balancing Scientific Rigour and Story(49:53) - The Business of Youtube(54:09) - Choosing to scale or not(59:14) - Creating "content"(01:01:56) - Authenticity(01:05:00) - Valuing High Quality Journalism(01:10:18) - Succeeding on Patreon(01:13:46) - Creators that Phil admires(01:16:56) - Books & podcasts Recommendations(01:28:54) - Reporting On Vs Working In a field(01:31:40) - Where Phil finds inspiration(01:35:14) - Support the podcast on PatreonSupport the podcast on PatreonMy TwitterMy BlueskyRead Previous Issues of the NewsletterEdited by Peter XiongFind more of his work
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    1 時間 36 分
  • What Hyperspectral constellations have to offer: Pixxel’s example - Awais Ahmed #MBM76

    What Hyperspectral constellations have to offer: Pixxel’s example - Awais Ahmed #MBM76
    2024/11/01

    Awais Ahmed is the co-founder & CEO of Pixxel, a company building a constellation of hyperspectral imaging satellites. Unlike “traditional” cameras, these satellites can see across hundreds of bands, opening up a lot more applications. We talk about the engineering -and funding- required to pull this off and how Awais manages a company between India (where Awais is from) and the US. But that’s just the 1st part of the interview. Then we talk about his vision for the company, which goes way, way beyond sending imaging satellites.

    Sponsor: OpenCage

    Use OpenCage for your geocoding needs with their API
    Geomob

    About Awais
    • Twitter
    • LinkedIn
    Shownotes
    • Awais’s personnal website
    • Pixxel’s 3 phase vision
    • Maxar HD machine learning upscaling
    • Book & Podcast Recommendation
      • The Beginning of Infinity by David Deutsch (Affiliate Link)
      • Profiles of the Future by Arthur C. Clarke (only found it in ebook here, Affiliate Link)
      • Hitchhiker’s guide to the Galaxy by Douglas Adams (Affiliate Link)
    Timestamps

    (00:00) - Introduction

    (01:09) - Sponsor: OpenCage

    (02:34) - Awais describes himself

    (03:46) - Pixxel

    (05:07) - What is hyperspectral?

    (10:36) - Spacial, Temporal & Spectral Resolution tradeoffs

    (18:01) - Hardest part of building satellites

    (22:58) - The resolution spotlight

    (28:38) - Image Quality Rabbit Hole

    (30:42) - The tricky part of raising money

    (38:52) - Awais has a big, big vision

    (50:42) - Likeliness of Awais's vision within 10 years

    (54:14) - Working between India & USA

    (59:04) - Personnal investing

    (01:01:20) - Importance of Reading

    (01:05:36) - Sci-Fi & History

    (01:08:33) - Book recommendation

    (01:10:43) - Awais in space?

    (01:11:54) - Pushing the boundaries of humanity

    (01:13:14) - Optimism in a cynical world

    (01:19:11) - Support the podcast on Patreon

    • Support the podcast on Patreon
    • My video on an introduction to satellite images
    • Website
    • My Twitter
    • Podcast Twitter
    • Read Previous Issues of the Newsletter
    • Edited by Peter Xiong
    • Find more of his work
    続きを読む 一部表示
    1 時間 21 分

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