We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Mapping Doomsday

Formal Metadata

Title
Mapping Doomsday
Subtitle
Using OSINT to monitor and predict environmental conflicts
Title of Series
Number of Parts
102
Author
License
CC Attribution 4.0 International:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date
Language

Content Metadata

Subject Area
Genre
Abstract
The world is entering a new era of instability. The climate crisis will put great pressure on the (relatively) peaceful balance of world politics. But the field of open source intelligence (OSINT) provides us with a new and unique way to map, study and predict these flashpoints. This talk will look at several technical approaches for using these techniques and include several example studies. Intelligence agencies, NGOs, business groups, and insurance companies all agree that the worsening climate crisis will fuel war and global crises. Some go further, saying that societal collapse is all but inevitable. Whatever your view on this is, it is difficult to see our current paradigm of general peace continuing into the next few decades. But as this crisis worsens, modern technology has also gifted us with new tools to monitor, analyse and predict flashpoints. The emerging field of Open Source Intelligence (OSINT) is one such tool. OSINT uses publically available data (such as social media posts, video footage, satellite imagery, public databases and remote sensing) as the basis for in-depth investigations. This talk will look at the ways in which these techniques can be usefully applied, both journalistically and analytically, within the context of the aforementioned crisis. Specifically, it will look at two examples of how OSINT can be used to analyse past events over the last year, and one concept for predicting a future event.