Linganisha mbinu

	Emerging Issues Analysis	Futures Wheel	Manoa Alternative Futures Method	Trend Impact Analysis
Nyanja	Futures Foresight Studies	Futures Foresight Studies	Futures Foresight Studies	Futures Foresight Studies
Familia	Process / pipeline	Process / pipeline	Process / pipeline	Process / pipeline
Mwaka wa asili	2009	1972	2009	1972
Mwanzilishi	Graham T. T. Molitor; Hawai'i School / Millennium Project	Jerome C. Glenn	Jim Dator (Hawai'i Research Center for Futures Studies, University of Hawai'i at Manoa)	Theodore J. Gordon (The Futures Group / Millennium Project)
Aina	Early-detection pipeline for issues on the S-curve of public attention	Structured brainstorming pipeline for mapping consequences of change	Generative pipeline for producing alternative images of the future	Probabilistic trend-extrapolation pipeline perturbed by future events
Chanzo asilia	Glenn, J. C., & Gordon, T. J. (Eds.). (2009). Futures Research Methodology, Version 3.0. The Millennium Project. ISBN: 9780981894119	Glenn, J. C., & Gordon, T. J. (Eds.). (2009). Futures Research Methodology, Version 3.0. The Millennium Project. ISBN: 9780981894119	Dator, J. (2009). Alternative futures at the Manoa School. Journal of Futures Studies, 14(2), 1-18.	Gordon, T. J., & Hayward, H. (1968). Initial experiments with the cross-impact matrix method of forecasting. Futures, 1(2), 100-116.
Majina mbadala	Emerging Issue Analysis, EIA, Issues Emergence Analysis, Weak Signal Scanning	Futures Wheel Method, Implications Wheel, Consequence Wheel, Mind-Mapping the Future	Manoa School Method, Four Generic Futures, Dator Alternative Futures, Hawai'i Alternative Futures	TIA, Trend-Impact Forecasting, Probabilistic Trend Perturbation, Event-Adjusted Trend Extrapolation
Zinazohusiana	3	3	4	3
Muhtasari	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.	The futures wheel is a structured brainstorming method for thinking through the consequences of a change. Created by Jerome Glenn in 1972 and now a staple of the foresight toolkit, it writes a trend, event, or decision in the center of a page and radiates outward: spokes lead to the direct, first-order consequences; from each of those, further spokes lead to second-order consequences; and the ripple continues to third and higher orders. The visual web that results makes the cascading implications of a change tangible, surfaces indirect effects that linear thinking misses, and reveals where consequences reinforce or contradict one another. Simple enough to run on a whiteboard yet powerful enough to anchor serious foresight work, it organizes intuition about how change propagates.	The Manoa Alternative Futures Method is the signature technique of the Hawai'i Research Center for Futures Studies, developed by Jim Dator at the University of Hawai'i at Manoa. Its founding axiom is that 'the future' cannot be predicted, only alternative futures can be imagined, so the purpose of foresight is not a single forecast but a set of qualitatively different images broad enough to bound the space of what might plausibly happen. Dator's central empirical claim, distilled from decades of futures work, is that the enormous variety of credible long-range scenarios collapses into four generic images: continued growth, collapse, discipline, and transformation. The method seeds these four archetypes with emerging issues — weak signals not yet visible as trends — to stretch participants' images of the future and produce a usable, divergent scenario set.	Trend impact analysis (TIA) is a forecasting method that marries quantitative extrapolation with expert judgment about disruptive future events. Developed by Theodore Gordon and colleagues at The Futures Group in the early 1970s and later codified in the Millennium Project's Futures Research Methodology, it starts from a 'surprise-free' baseline produced by fitting and projecting a historical time series. It then asks which unprecedented events — events with no historical analog that ordinary extrapolation cannot anticipate — could deflect that trend, and with what probability, magnitude, and timing. Through Monte Carlo simulation those probabilistic impacts perturb the baseline, yielding not a single line but a probability envelope that shows how the trend might bend if the unexpected occurs.