手法を比較

	Real-Time Delphi	Cross-Impact Balance Analysis
分野	Futures Foresight Studies	Futures Foresight Studies
系統	Process / pipeline	Process / pipeline
提唱年	2006	2006
提唱者	Theodore J. Gordon & Adam Pease	Wolfgang Weimer-Jehle
種類	Roundless, asynchronous computer-mediated expert-elicitation pipeline	Semi-quantitative scenario-construction pipeline
原典	Gordon, T., & Pease, A. (2006). RT Delphi: An efficient, round-less almost real time Delphi method. Technological Forecasting and Social Change, 73(4), 321-333.	Weimer-Jehle, W. (2006). Cross-impact balances: A system-theoretical approach to cross-impact analysis. Technological Forecasting and Social Change, 73(4), 334-361.
別名	RT Delphi, Round-less Delphi, Real-Time Delphi Method, Continuous Delphi	CIB Analysis, Cross-Impact Balances, Balance Algorithm Scenario Analysis, Qualitative Systems Analysis (Weimer-Jehle)
関連	4	4
概要	Real-Time Delphi is a roundless, asynchronous, computer-mediated reinvention of the classic Delphi method, developed by Theodore Gordon and Adam Pease in 2006. Where conventional Delphi proceeds through discrete questionnaire rounds — collect, aggregate, redistribute, repeat — Real-Time Delphi collapses the rounds entirely: experts log in to an online platform whenever they choose, see the panel's current aggregate estimates and the rationales behind them, and revise their own answers continuously, with the aggregate updating live as they do. This always-on feedback architecture preserves the core Delphi virtues of anonymity and structured feedback while removing the long delays, fixed schedules, and administrative burden of round-based administration. As described by Gordon and Pease and catalogued in the Millennium Project's Futures Research Methodology, the method makes large, distributed, and time-pressured expert elicitations practical, letting a panel converge through continuous interaction rather than through a rigid sequence of rounds.	Cross-Impact Balance (CIB) analysis is a semi-quantitative foresight method that turns a panel of qualitative expert judgments into a small set of internally consistent scenarios. Introduced by Wolfgang Weimer-Jehle in 2006, CIB describes a system as a set of descriptors, each of which can take one of several discrete future states, and asks experts to judge, pairwise, how strongly each state promotes or restricts every other state. These judgments form a cross-impact matrix; a balance algorithm then searches the combinatorial space of state combinations for configurations in which every descriptor's chosen state is the one most strongly supported by all the others. These self-consistent combinations are the scenarios. CIB has become a standard tool for building qualitative socio-technical scenarios, including the shared socio-economic pathways used in climate research.