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

Written By Maxime Lenormand

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

Listen to this episode audio only as a podcast on your favourite app

About Krishna

Shownotes

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

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

Maxime Lenormand https://mindsbehindmaps.com
Next

How Ex-Vox Video Producer Phil Edwards thinks about Maps to tell stories - MBM77