• How Bloomberg's Data Scientists use Satellite Images for Reporting: Krishna Karra - MBM78

  • Dec 16 2024
  • Durée: 57 min
  • Podcast

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

  • Résumé

  • 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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