How Bloomberg's Data Scientists use Satellite Images for Reporting: Krishna Karra - MBM78
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 2024About KrishnaTwitterLinkedInShownotes 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 ChinaBloomberg: A Detailed Map Shows How Airstrikes and Refugees Reshaped RafahHow Radar Satellites See through Clouds (Synthetic Aperture Radar Explained)National Land Cover Database (NLCD)What Ukraine Has LostGraves in Suda by Joe MorrisonJean Martin Bauer on Minds Behind MapsBooks & Podcast:Overstory by Richard Powers (Affiliate Link)Ezra Klein ShowTimestamps (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 PatreonSupport the podcast on PatreonMy TwitterPodcast TwitterRead Previous Issues of the NewsletterEdited by Peter XiongFind more of his work
From "Minds Behind Maps"
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