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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.

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Źródła

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

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

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Cytowana przez

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