01.
TREND RADAR
HOW TO READ TREND RADAR
The Trend Radar is a map of claims extracted from the reports.
One point represents one claim.
The position of each point shows what the claim is about and when it is expected to unfold. The circular sector indicates the primary topic (economy, AI, security, etc.), while the distance from the center represents the time horizon — from “now / 0–1 years” to 1–3, 3–5, and 5–10+ years. The denser the points within a sector and ring, the more frequently sources address that theme within that timeframe.
The color of each point reflects the source’s level of confidence. Below the map, filters allow you to narrow the view by claim type (forecast, warning, recommendation, etc.), secondary topic, actor, or affected entity — making it possible to see which specific groups of claims shape the overall picture of the future.
One point represents one claim.
The position of each point shows what the claim is about and when it is expected to unfold. The circular sector indicates the primary topic (economy, AI, security, etc.), while the distance from the center represents the time horizon — from “now / 0–1 years” to 1–3, 3–5, and 5–10+ years. The denser the points within a sector and ring, the more frequently sources address that theme within that timeframe.
The color of each point reflects the source’s level of confidence. Below the map, filters allow you to narrow the view by claim type (forecast, warning, recommendation, etc.), secondary topic, actor, or affected entity — making it possible to see which specific groups of claims shape the overall picture of the future.
Previous visualization
PRESSURE ROADMAPS
Claims about the future organized by time horizon and type of dynamic. The map captures what is expected to change and on what timeline — distinguishing between impacts on individuals and on organizations.
Next visualization
CONSENSUS VS CONTENTION MAP
A map of agreement and disagreement across sources. It shows which themes most reports converge on — and where assessments diverge, and how sharply.
