The Knowledge Base of Futures Studies¶
Slaughter, R. A. (2002). The Knowledge Base of Futures Studies.
Cited by¶
3 citations across 3 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Backcasting
- T5: Aggregation vs. Disaggregation in Multi-stakeholder Settings. Energy-system backcasts, transportation-transition backcasts, and organizational transformation backcasts all involve multiple stakeholders with divergent objectives and risk tolerances, a multi-actor complication Slaughter (2002) treats at length in the Knowledge Base of Futures Studies.
This sourceForesight International. Reference work synthesizing futures-studies methods (scenario planning, environmental scanning, Delphi, backcasting); treats stakeholder heterogeneity and value pluralism as central methodological problems.
- T5: Aggregation vs. Disaggregation in Multi-stakeholder Settings. Energy-system backcasts, transportation-transition backcasts, and organizational transformation backcasts all involve multiple stakeholders with divergent objectives and risk tolerances, a multi-actor complication Slaughter (2002) treats at length in the Knowledge Base of Futures Studies.
- Causal Layered Analysis (CLA)
- Slaughter (2002) catalogues such diachronic concerns within the broader knowledge base of futures studies, showing that synchronic frameworks need to be paired with explicit accounts of how futures emerge and dissolve over time.
This sourceForesight International. Comprehensive multi-volume reference work synthesizing futures-studies concepts, methods, and key works; cited as the broader knowledge base within which synchronic frameworks like CLA must be paired with accounts of how futures emerge and dissolve over time.
- Slaughter (2002) catalogues such diachronic concerns within the broader knowledge base of futures studies, showing that synchronic frameworks need to be paired with explicit accounts of how futures emerge and dissolve over time.
- Horizon Scanning
- The most common rubric, as Slaughter (2002) catalogs across the futures-studies knowledge base, combines likelihood (probability the signal grows in importance), impact (the magnitude of consequences if it does grow), proximity (time horizon: how soon would it matter?), and controllability (the extent to which the organization can influence the signal's trajectory).
This sourceForesight International. Comprehensive reference work synthesizing futures-studies methods including scenario planning, environmental scanning, Delphi, and backcasting; treats stakeholder heterogeneity and value pluralism as central methodological problems requiring multi-criteria and participatory approaches.
- The most common rubric, as Slaughter (2002) catalogs across the futures-studies knowledge base, combines likelihood (probability the signal grows in importance), impact (the magnitude of consequences if it does grow), proximity (time horizon: how soon would it matter?), and controllability (the extent to which the organization can influence the signal's trajectory).
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