ScholarGate
Assistent
Process / pipelineHorizon scanning / weak-signal analysis

Emerging Issues Analysis

Emerging Issues Analysis (EIA) is a horizon-scanning method, associated with Graham Molitor and the Hawai'i School and codified in the Millennium Project's Futures Research Methodology, for detecting issues at the earliest, weakest-signal stage — long before they register as trends or reach public consciousness. Its organizing idea is that issues, like technologies, follow an S-curve of public attention: they begin in obscure, marginal sources, accelerate as advocates and specialists pick them up, and only later become widely recognized trends and finally mainstream concerns. The strategic value of catching an issue on the flat, early part of that curve is enormous, because that is when there is the most time and the most room to respond. EIA therefore deliberately scans the fringe — specialist literature, activist publications, patents, subcultures, marginal voices — to spot the small clouds on the horizon and position them on the issue lifecycle.

Åbn i MethodMindSnartAnvend, sammenlign, få vejledning
Værktøjer og ressourcer
Hent slides
Lær og udforsk
VideoSnart

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Metodekort

Nabolaget af beslægtede metoder — vælg en knude for at udforske.

Kilder

  1. Glenn, J. C., & Gordon, T. J. (Eds.). (2009). Futures Research Methodology, Version 3.0. The Millennium Project. ISBN: 9780981894119

Sådan citerer du denne side

ScholarGate. (2026, June 23). Emerging Issues Analysis (Early Detection on the S-Curve of Public Attention). ScholarGate. https://scholargate.app/da/futures-foresight-studies/emerging-issues-analysis

Hvilken metode?

Stil denne metode ved siden af dens nærmeste slægtninge, og læs dem side om side — biblioteket lægger bøgerne på bordet; valget er dit.

Sammenlign side om side

Refereret af

ScholarGateEmerging Issues Analysis (Emerging Issues Analysis (Early Detection on the S-Curve of Public Attention)). Hentet 2026-06-24 fra https://scholargate.app/da/futures-foresight-studies/emerging-issues-analysis · Datasæt: https://doi.org/10.5281/zenodo.20539026