This is the 10 December 2020 issue of our weekly scan for political and geopolitical risks (open access).
- How China Could Win the War against the Covid-19 Pandemic
- The Red Team Analysis Weekly – 14 January 2021
- Is the West Losing the Warming Arctic?
- Is the COVID-19 Second Wave coming to China?
- France and 3 Scenarios for the COVID-19 Second Wave
- Adapting to the Burning World?
- Global Apocalypse Now, the California Way
- Arctic China: Towards New Oil Wars in a Warming Arctic?
Using horizon scanning, each week, we collect weak – and less weak – signals. These point to new, emerging, escalating or stabilising problems. As a result, they indicate how trends or dynamics evolve.
Horizon scanning, weak signals and biases
We call signals weak, because it is still difficult to discern them among a vast array of events. However, our biases often alter our capacity to measure the strength of the signal. As a result, the perception of strength will vary according to the awareness of the actor. At worst, biases may be so strong that they completely block the very identification of the signal.
In the field of strategic foresight and warning, risk management and future studies, it is the job of good analysts to scan the horizon. As a result, they can perceive signals. Analysts then evaluate the strength of these signals according to specific risks and dynamics. Finally, they deliver their findings to users. These users can be other analysts, officers or decision-makers.
You can read a more detailed explanation in one of our cornerstone articles: Horizon Scanning and Monitoring for Warning: Definition and Practice.
The sections of the scan
Each section of the scan focuses on signals related to a specific theme:
- world (international politics and geopolitics);
- science including AI, QIS, technology and weapons, ;
- analysis, strategy and futures;
- the Covid-19 pandemic;
- energy and environment.
However, in a complex world, categories are merely a convenient way to present information, when facts and events interact across boundaries.
The information collected (crowdsourced) does not mean endorsement.