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Delphi method

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848:"(1) the potential of Policy Delphi methods to introduce transparency and accountability into public decision-making, especially in developing countries; (2) the utility of foresight exercises to foster multi-agency networking in the development community; (3) the usefulness of embedding foresight exercises into established mechanisms of representative democracy and international multilateralism, such as the United Nations; (4) the potential of online tools to facilitate participation in resource-scarce developing countries; and (5) the resource-efficiency stemming from the scale of international foresight exercises, and therefore its adequacy for resource-scarce regions." 133: 708:, health and education. It was also applied successfully and with high accuracy in business forecasting. For example, in one case reported by Basu and Schroeder (1977), the Delphi method predicted the sales of a new product during the first two years with inaccuracy of 3–4% compared with actual sales. Quantitative methods produced errors of 10–15%, and traditional unstructured forecast methods had errors of about 20%. (This is only one example; the overall accuracy of the technique is mixed.) 675:, who are selected for a reason, usually that they hold knowledge on an opinion or view. The facilitator sends out questionnaires, surveys etc. and if the panel of experts accept, they follow instructions and present their views. Responses are collected and analyzed, then common and conflicting viewpoints are identified. If consensus is not reached, the process continues through thesis and antithesis, to gradually work towards synthesis, and building consensus. 25: 807: 613: 933:
latest Delphi round. The respondent's view on the probable and the preferable future are dealt with as separate cases. The computerization of Argument Delphi is relatively difficult because of several problems like argument resolution, argument aggregation and argument evaluation. The computerization of Argument Delphi, developed by
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Use of the Delphi method in the development of guidelines for the reporting of health research is recommended, especially for experienced developers. Since this advice was made in 2010, two systematic reviews have found that fewer than 30% of published reporting guidelines incorporated Delphi methods
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The Delphi method has also been used as a tool to implement multi-stakeholder approaches for participative policy-making in developing countries. The governments of Latin America and the Caribbean have successfully used the Delphi method as an open-ended public-private sector approach to identify the
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First applications of the Delphi method were in the field of science and technology forecasting. The objective of the method was to combine expert opinions on likelihood and expected development time, of the particular technology, in a single indicator. One of the first such reports, prepared in 1964
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It must also be realized that in areas such as science and technology forecasting, the degree of uncertainty is so great that exact and always correct predictions are impossible, so a high degree of error is to be expected. An important challenge for the method is ensuring sufficiently knowledgeable
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The following key characteristics of the Delphi method help the participants to focus on the issues at hand and separate Delphi from other methodologies: in this technique a panel of experts is drawn from both inside and outside the organisation. The panel consists of experts having knowledge of the
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is a manual for doing Delphi research which provides guidance for doing research and offers a appraisal tool.This manual gives guidance on best practices that will help to avoid, or mitigate, potential drawbacks of Delphi Method Research; it also helps to understand the confidence that can be given
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or change agent provides an anonymised summary of the experts' forecasts from the previous round as well as the reasons they provided for their judgments. Thus, experts are encouraged to revise their earlier answers in light of the replies of other members of their panel. It is believed that during
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The Argument Delphi, developed by Osmo Kuusi, focuses on ongoing discussion and finding relevant arguments rather than focusing on the output. The Disaggregative Policy Delphi, developed by Petri Tapio, uses cluster analysis as a systematic tool to construct various scenarios of the future in the
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in Latin America. It is believed to be the most extensive online participatory policy-making foresight exercise in the history of intergovernmental processes in the developing world at this time. In addition to the specific policy guidance provided, the authors list the following lessons learned:
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One of the initial problems of the method was its inability to make complex forecasts with multiple factors. Potential future outcomes were usually considered as if they had no effect on each other. Later on, several extensions to the Delphi method were developed to address this problem, such as
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Usually all participants remain anonymous. Their identity is not revealed, even after the completion of the final report. This prevents the authority, personality, or reputation of some participants from dominating others in the process. Arguably, it also frees participants (to some extent) from
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The initial contributions from the experts are collected in the form of answers to questionnaires and their comments to these answers. The panel director controls the interactions among the participants by processing the information and filtering out irrelevant content. This avoids the negative
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In the early 1980s Jackie Awerman of Jackie Awerman Associates, Inc. designed a modified Delphi method for identifying the roles of various contributors to the creation of a patent-eligible product. (Epsilon Corporation, Chemical Vapor Deposition Reactor) The results were then used by patent
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contexts include non-alcoholic fatty liver disease, iodine deficiency disorders, building responsive health systems for communities affected by migration, the role of health systems in advancing well-being for those living with HIV, and in creating a 2022 paper on recommendations to end the
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A number of Delphi forecasts are conducted using web sites that allow the process to be conducted in real-time. For instance, the TechCast Project uses a panel of 100 experts worldwide to forecast breakthroughs in all fields of science and technology. Another example is the
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the use of two or more panels representing different groups (such as policy-makers, experts, citizens), which the administrator can give tasks reflecting their diverse roles and expertise, and make them to interact within ad hoc communication structures. For example, the
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this process the range of the answers will decrease and the group will converge towards the "correct" answer. Finally, the process is stopped after a predefined stopping criterion (e.g., number of rounds, achievement of consensus, stability of results), and the
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Traditionally the Delphi method has aimed at a consensus of the most probable future by iteration. Other versions, such as the Policy Delphi, offer decision support methods aiming at structuring and discussing the diverse views of the preferred future.
949:. Overall the track record of the Delphi method is mixed. There have been many cases when the method produced poor results. Still, some authors attribute this to poor application of the method and not to the weaknesses of the method itself. The 966:, that takes into consideration the possibility that the occurrence of one event may change probabilities of other events covered in the survey. Still the Delphi method can be used most successfully in forecasting single scalar indicators. 509:
Delphi is based on the principle that forecasts (or decisions) from a structured group of individuals are more accurate than those from unstructured groups. The experts answer questionnaires in two or more rounds. After each round, a
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Special attention has to be paid to the formulation of the Delphi theses and the definition and selection of the experts in order to avoid methodological weaknesses that severely threaten the validity and reliability of the results.
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Experts were asked to give their opinion on the probability, frequency, and intensity of possible enemy attacks. Other experts could anonymously give feedback. This process was repeated several times until a consensus emerged.
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the iteration structure used in the paper Delphis, which is divided into three or more discrete rounds, can be replaced by a process of continuous (roundless) interaction, enabling panelists to change their evaluations at any
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During the past decades, facilitators have used many different measures and thresholds to measure the degree of consensus or dissent. A comprehensive literature review and summary is compiled in an article by von der Gracht.
701:, space progress, war prevention and weapon systems. Other forecasts of technology were dealing with vehicle-highway systems, industrial robots, intelligent internet, broadband connections, and technology in education. 543:, although the authors of the method were unhappy with the oracular connotation of the name, "smacking a little of the occult". The Delphi method assumes that group judgments are more valid than individual judgments. 505:
Delphi can also be used to help reach expert consensus and develop professional guidelines. It is used for such purposes in many health-related fields, including clinical medicine, public health, and research.
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Participants do not have to be selected and recruited manually by a facilitator. They themselves decide whether to participate if they think their private information is not yet incorporated in the forecast.
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the complexity of issues posed in public policy-making tends to increase weighting of panelists’ arguments, such as soliciting pros and cons for each item along with new items for panel consideration;
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Schaffner M, Rochau U, Stojkov I, Qerimi Rushaj V, Völzke H, Marckmann G, et al. (April 2021). "Barriers Against Prevention Programs for Iodine Deficiency Disorders in Europe: A Delphi Study".
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Delphi is applicable in situations where the bets involved might affect the value of the currency used in bets (e.g. a bet on the collapse of the dollar made in dollars might have distorted odds).
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Rosowsky E, Young AS, Malloy MC, van Alphen SP, Ellison JM (March 2018). "A cross-validation Delphi method approach to the diagnosis and treatment of personality disorders in older adults".
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A cross-validation study replicating one completed in the Netherlands and Belgium, and exploring US experts' views on the diagnosis and treatment of older adults with personality disorders.
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as both are structured approaches that aggregate diverse opinions from groups. Yet, there are differences that may be decisive for their relative applicability for different problems.
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or trend extrapolation, quickly became apparent in areas where precise scientific laws have not been established yet. To combat these shortcomings, the Delphi method was developed by
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The Delphi method allows participants to comment on the responses of others, the progress of the panel as a whole, and to revise their own forecasts and opinions in real time.
2321:. An example of e-democracy application is DEMOS (Delphi Mediation Online System), whose prototype was presented at the 3rd Worldwide Forum on Electronic Democracy, in 2002. 2200:
Banno M, Tsujimoto Y, Kataoka Y (August 2020). "The majority of reporting guidelines are not developed with the Delphi method: a systematic review of reporting guidelines".
909:, where educational futurists collaborate online using the Delphi method to come up with the technological advancements to look out for in education for the next few years. 2449:
Prokesch T, von der Gracht H, Wohlenberg H (2015). "Integrating prediction market and Delphi methodology into a foresight support system — Insights from an online game".
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method that relies on a panel of experts. Delphi has been widely used for business forecasting and has certain advantages over another structured forecasting approach,
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Today the Delphi method is a widely accepted forecasting tool and has been used successfully for thousands of studies in areas varying from technology forecasting to
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Further innovations come from the use of computer-based (and later web-based) Delphi conferences. According to Turoff and Hiltz, in computer-based Delphis:
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The Delphi technique is widely used to help reach expert consensus in health-related settings. For example, it is frequently employed in the development of
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by Gordon and Helmer, assessed the direction of long-term trends in science and technology development, covering such topics as scientific breakthroughs,
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formats. The authors provide a methodological toolbox for designing Delphi surveys including among others sentiment analyses of the field of psychology.
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One successful example of a (partially) web-based policy Delphi is the five-round Delphi exercise (with 1,454 contributions) for the creation of the
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Basu S, Schroeder RG (May 1977). "Incorporating Judgments in Sales Forecasts: Application of the Delphi Method at American Hoist & Derrick".
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More recent research has also focused on combining both, the Delphi technique and prediction markets. More specifically, in a research study at
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From the 1970s, the use of the Delphi technique in public policy-making introduces a number of methodological innovations. In particular:
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According to Bolognini, web-based Delphis offer two further possibilities, relevant in the context of interactive policy-making and
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In 2021, a cross-disciplinary study by Beiderbeck et al. focused on new directions and advancements of the Delphi method, including
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von der Gracht H (2012). "Consensus Measurement in Delphi Studies - Review and Implications for Future Quality Assurance".
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This article provides a detailed description of the use of modified Delphi for qualitative, participatory action research.
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Democrazia elettronica. Metodo Delphi e politiche pubbliche (Electronic Democracy. Delphi Method and Public Policy-Making)
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items) leads to introducing different evaluation scales which are not used in the standard Delphi. These often include
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In Europe, more recent web-based experiments have used the Delphi method as a communication technique for interactive
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panelists. If panelists are misinformed about a topic, the use of Delphi may only add confidence to their ignorance.
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Tapio P (2003). "Disaggregative Policy Delphi: Using cluster analysis as a tool for systematic scenario formation".
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the statistical group response can be updated in real-time, and shown whenever a panelist provides a new evaluation.
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Mauksch S, Heiko A, Gordon TJ (May 2020). "Who is an expert for foresight? A review of identification methods".
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likewise, methods measuring panel evaluations tend to increase sophistication such as multi-dimensional scaling.
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Later the Delphi method was applied in other places, especially those related to public policy issues, such as
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Lazarus JV, Safreed-Harmon K, Kamarulzaman A, Anderson J, Leite RB, Behrens G, et al. (July 2021).
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McLaughlin MW (1990). "The Rand Change Agent Study Revisited: Macro Perspectives and Micro Realities".
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attorneys to determine bonus distribution percentage to the general satisfaction of all team members.
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Dalkey N, Helmer O (1963). "An Experimental Application of the Delphi Method to the use of experts".
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Rowe G, Wright G (October 1999). "The Delphi technique as a forecasting tool: issues and analysis".
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They can motivate people to participate over a long period of time and to reveal their true beliefs.
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They aggregate information automatically and instantly incorporate new information in the forecast.
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Lazarus JV, Romero D, Kopka CJ, Karim SA, Abu-Raddad LJ, Almeida G, et al. (November 2022).
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Gazing Into the Oracle: The Delphi Method and Its Application to Social Policy and Public Health
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Gazing into the oracle: The Delphi method and its application to social policy and public health
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Gazing Into the Oracle: The Delphi Method and Its Application to Social Policy and Public Health
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Lazarus JV, Mark HE, Anstee QM, Arab JP, Batterham RL, Castera L, et al. (January 2022).
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Turoff M, Hiltz SR (1996). "Computer based Delphi processes.". In Adler M, Ziglio E (eds.).
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Pottie K, Hui C, Rahman P, Ingleby D, Akl EA, Russell G, et al. (February 2017).
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area requiring decision making. Each expert is asked to make anonymous predictions.
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RAND methodological guidance for conducting and critically appraising Delphi panels.
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RAND Methodological Guidance for Conducting and Critically Appraising Delphi Panels
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Downloadable documents from RAND concerning applications of the Delphi Technique.
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Passig D (Spring 1997). "Imen Delphi: A Delphi Variant Procedure for Emergence".
1313: 1209:"Methods to elicit forecasts from groups: Delphi and prediction markets compared" 1063: 922: 906: 555: 362: 309: 209: 204: 167: 124: 2416: 2392: 2367: 1366: 1157: 1142: 1127: 132: 3088: 2939: 2888: 2855: 2844: 2816: 2737: 2690: 2498: 2481: 2244: 2091: 2034: 1874: 1857: 1053: 648: 367: 339: 214: 2167: 2151:"Methodology and reporting quality of reporting guidelines: systematic review" 1660: 3408: 3361: 3349: 3259: 3160: 2925: 2894: 2880: 2782: 2765: 1643:
Beiderbeck D, Frevel N, von der Gracht HA, Schmidt SL, Schweitzer VM (2021).
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Delphi Process: A Methodology Used for the Elicitation of Opinions of Experts
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on the future technological capabilities that might be used by the military.
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Wang X, Chen Y, Yang N, Deng W, Wang Q, Li N, et al. (September 2015).
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elements of the Delphi method had been integrated into a prediction market.
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effects of face-to-face panel discussions and solves the usual problems of
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Principles of Forecasting: A Handbook of Researchers and Practitioners
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Khodyakov, D., Grant, S.,  Kroger, J.,  Bauman, M. (2023).
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derive from the possibility to provide incentives for participation.
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Different approaches were tried, but the shortcomings of traditional
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Human Organization: Journal of the Society for Applied Anthropology
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Predicting the Future: An Introduction to the Theory of Forecasting
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Markmann C, Spickermann A, von der Gracht HA, Brem A (March 2021).
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International Journal of Environmental Research and Public Health
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Delphi assessment: Expert opinion, forecasting, and group process
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members (policy-makers and experts) may interact as part of the
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The person coordinating the Delphi method is usually known as a
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Potentially quicker forecasts if experts are readily available.
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Delphi seems to have these advantages over prediction markets:
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most urgent challenges for their regional ICT-for-development
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Electronic Democracy. Delphi Method and Public Policy-Making
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Delphi Technique developed by Olaf Helmer and Norman Dalkey.
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Democrazia elettronica. Metodo Delphi e politiche pubbliche
1567:"The Modified Delphi Technique - A Rotational Modification" 1538:"The Delphi Method and its Contribution to Decision Making" 1213:
Foresight: The International Journal of Applied Forecasting
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Moher D, Schulz KF, Simera I, Altman DG (February 2010).
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The Delphi method was developed at the beginning of the
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the need to examine several types of items (not only
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The Millennium Project. Futures Research Methodology
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"23". 1558: 1285: 1006:It is easier to maintain confidentiality 893: 827:panel, while they receive inputs from a 805: 611: 550:to forecast the impact of technology on 2406: 2138:from the original on 29 September 2022. 2116: 1590: 1140: 937:, proposes solutions to such problems. 867: 728: 3407: 2562:RAND publications on the Delphi Method 2242: 1615: 1535: 1418: 1244: 974:Delphi has characteristics similar to 630:their personal biases, minimizes the " 607: 2641: 2571: 2428: 2426: 2365: 2330: 2124:"Developing your reporting guideline" 1817:(in Italian). Rome: Carocci Editore. 1751:Hilbert M, Miles I, Othmer J (2009). 1529: 1339: 1155: 1125: 687: 1427:International Journal of Forecasting 1171:Linstone HA, Turoff M, eds. (1975). 872:Some examples of its application in 773:scenario (from feasibility) and the 47:adding citations to reliable sources 18: 2667: 2411:. In Turoff M, Linstone HA (eds.). 1630:10.17730/humo.56.1.a3676826366nx556 1003:Participants reveal their reasoning 654: 13: 3296:Bayesian statistics and Bayes nets 2472: 2423: 2059: 1177:. Reading, Mass.: Addison-Wesley. 769:scenario (from desirability), the 14: 3441: 3225:Failure mode and effects analysis 2555: 2438:https://doi.org/10.7249/tla3082-1 3328:Multi-criteria decision analysis 3276:Reliability centered maintenance 2277:Adler M, Ziglio E, eds. (1996), 2202:Journal of Clinical Epidemiology 2155:BMC Medical Research Methodology 1030:Computer supported brainstorming 581:during the 1950-1960s (1959) by 451: 131: 23: 2442: 2400: 2359: 2324: 2294: 2281:, London: Kingsley Publishers, 2270: 2245:"The Design of a Policy Delphi" 2236: 2193: 2142: 2002: 1951: 1908: 1849: 1788: 1712: 1685: 1609: 1540:. In Adler M, Ziglio E (eds.). 1494: 1466:Futures & Foresight Science 1453: 1383: 682: 642:Structuring of information flow 34:needs additional citations for 3244:Cause and consequence analysis 3118:Occupational safety and health 3026:Identity and access management 2463:10.1016/j.techfore.2014.02.021 2214:10.1016/j.jclinepi.2020.04.010 1774:10.1016/j.techfore.2009.01.001 1706:10.1016/j.techfore.2012.04.013 1515:10.1016/j.techfore.2020.119982 1164: 1149: 1134: 1119: 1082: 890:into the development process. 761:(technical and political) and 16:Interactive forecasting method 1: 2530:10.1080/13607863.2016.1261796 2345:10.1016/S0040-1625(01)00177-9 1439:10.1016/S0169-2070(99)00018-7 1076: 970:Delphi vs. prediction markets 912: 625:Anonymity of the participants 3204:Structured What If Technique 3187:Hazard and operability study 3043:Business continuity planning 2264:10.1016/0040-1625(70)90161-7 1314:10.1371/journal.pmed.1000217 777:scenario (from probability); 7: 3181:Preliminary hazard analysis 3000:Operational risk management 2393:10.1109/ACCESS.2015.2424703 1367:10.1007/978-0-306-47630-3_7 1126:Brown BB (September 1968). 1059:Reference class forecasting 1023: 940: 885:Use in reporting guidelines 388:Science fiction prototyping 320:Reference class forecasting 10: 3446: 3265:Human reliability analysis 2949:Enterprise risk management 2499:10.1177/160940691401300101 2092:10.1038/s41586-022-05398-2 2035:10.1038/s41467-021-24673-w 1875:10.1038/s41575-021-00523-4 897: 530: 3337: 3254:Layer protection analysis 3249:Cause-and-effect analysis 3131: 3056:Financial risk management 2938: 2903: 2793:Vulnerability (computing) 2682: 2675: 2607: 2518:Aging & Mental Health 2243:Turoff M (January 1970). 2168:10.1186/s12874-015-0069-z 1661:10.1016/j.mex.2021.101401 3215:Business impact analysis 3031:Vulnerability management 2977:Personal risk management 2776:Global catastrophic risk 1263:10.1177/1937586719887709 160:Global catastrophic risk 3096:Precautionary principle 3048:Disaster risk reduction 2128:www.equator-network.org 1829:. A summary is also in 1112:2027/inu.30000029301680 1049:Nominal group technique 663:Role of the facilitator 556:General Henry H. Arnold 373:Exploratory engineering 263:Causal layered analysis 3291:Monte Carlo simulation 3281:Sneak circuit analysis 2676:Risk type & source 1977:10.3390/ijerph14020144 1392:Educational Researcher 1357:. In Armstrong (ed.). 1039:Policy Analysis Market 852:Use in health settings 811: 741:items but, typically, 617: 488:Estimate-Talk-Estimate 200:Historical materialism 3316:Cost/benefit analysis 2960:Regulatory compliance 2015:Nature Communications 1929:10.1089/thy.2020.0065 964:cross impact analysis 894:Online Delphi systems 809: 615: 585:, Norman Dalkey, and 278:Cross impact analysis 3079:Strategic management 2955:Corporate governance 2733:Anthropogenic hazard 2301:Bolognini M (2001). 1813:Bolognini M (2001). 1225:10.2139/ssrn.1153124 1103:10.1287/mnsc.9.3.458 1070:The Wisdom of Crowds 868:Use in public health 729:Use in policy-making 571:theoretical approach 43:improve this article 3239:Event tree analysis 3234:Fault tree analysis 3220:Root cause analysis 3199:Toxicity assessment 3141:Exposure assessment 3111:Disaster management 3038:Incident management 3021:Security management 2714:Psychosocial hazard 2697:Reputational damage 2622:Sales force polling 2419:on 6 February 2012. 2407:Jillson IA (2002). 2384:2015IEEEA...3..368S 2084:2022Natur.611..332L 2027:2021NatCo..12.4450L 1733:10.1287/inte.7.3.18 981:Some advantages of 954:to study results. 608:Key characteristics 575:quantitative models 560:U.S. Army Air Corps 403:Technology scouting 150:Accelerating change 3430:Futures techniques 3420:Estimation methods 3321:Risk–benefit ratio 3123:Swiss cheese model 3084:Risk communication 2992:Disease management 2866:Exchange rate risk 2861:Interest rate risk 2612:Executive opinions 1591:Rescher N (1998). 1141:Sackman H (1974). 1091:Management Science 983:prediction markets 976:prediction markets 858:medical guidelines 812: 695:population control 688:Use in forecasting 618: 500:prediction markets 393:Speculative design 273:Consensus forecast 268:Chain-linked model 230:Resource depletion 3402: 3401: 3394:Crisis management 3210:Scenario analysis 3151:Scenario planning 3106:Crisis management 2987:Stress management 2934: 2933: 2827:Reputational risk 2635: 2634: 2366:Seker SE (2015). 2316:978-88-430-2035-5 2288:978-1-85302-104-6 2078:(7935): 332–345. 1842:978-0-9818941-1-9 1824:978-88-430-2035-5 1799:. pp. 56–85. 1602:978-0-7914-3553-3 1551:978-1-85302-104-6 1536:Ziglio E (1996). 1376:978-0-7923-7401-5 1245:Taylor E (2020). 1184:978-0-201-04294-8 879:COVID-19 pandemic 845:eLAC Action Plans 829:virtual community 714:eLAC Action Plans 569:methods, such as 539:derives from the 439: 438: 325:Scenario planning 188:Space exploration 119: 118: 111: 93: 3437: 3425:Systems thinking 3389:Opportunity cost 3338:Related concepts 3271:Bow tie analysis 3156:Contingency plan 2982:Health insurance 2970:Internal control 2811:Operational risk 2726:Natural disaster 2680: 2679: 2662: 2655: 2648: 2639: 2638: 2627:Consumer surveys 2592: 2585: 2578: 2569: 2568: 2549: 2511: 2501: 2467: 2466: 2446: 2440: 2430: 2421: 2420: 2415:. Archived from 2404: 2398: 2397: 2395: 2363: 2357: 2356: 2328: 2322: 2320: 2298: 2292: 2291: 2274: 2268: 2267: 2249: 2240: 2234: 2233: 2197: 2191: 2190: 2180: 2170: 2146: 2140: 2139: 2120: 2114: 2113: 2103: 2063: 2057: 2056: 2046: 2006: 2000: 1999: 1989: 1979: 1955: 1949: 1948: 1912: 1906: 1905: 1887: 1877: 1853: 1847: 1846: 1828: 1810: 1801: 1800: 1792: 1786: 1785: 1757: 1748: 1737: 1736: 1716: 1710: 1709: 1700:(8): 1525–1536. 1689: 1683: 1682: 1672: 1640: 1634: 1633: 1613: 1607: 1606: 1588: 1582: 1581: 1562: 1556: 1555: 1533: 1527: 1526: 1498: 1492: 1491: 1481: 1457: 1451: 1450: 1422: 1416: 1415: 1387: 1381: 1380: 1356: 1343: 1337: 1336: 1326: 1316: 1292: 1283: 1282: 1242: 1229: 1228: 1204: 1193: 1192: 1187:. Archived from 1168: 1162: 1161: 1156:Brown T (1972). 1153: 1147: 1146: 1138: 1132: 1131: 1123: 1117: 1116: 1114: 1086: 1044:Horizon scanning 935:Sadi Evren Seker 900:Real-time Delphi 821:policy community 673:panel of experts 655:Regular feedback 632:bandwagon effect 602:Real-time Delphi 587:Nicholas Rescher 541:Oracle of Delphi 486:; also known as 482: 477: 476: 473: 472: 469: 466: 463: 460: 457: 447:Delphi technique 431: 424: 417: 330:Systems analysis 315:Horizon scanning 288:Real-time Delphi 225:Population cycle 155:Cashless society 135: 121: 120: 114: 107: 103: 100: 94: 92: 51: 27: 19: 3445: 3444: 3440: 3439: 3438: 3436: 3435: 3434: 3405: 3404: 3403: 3398: 3377:Problem solving 3333: 3286:Markov analysis 3146:Hazard analysis 3133:Risk assessment 3127: 3062:Diversification 2940:Countermeasures 2930: 2899: 2745:Technology risk 2671: 2669:Risk management 2666: 2636: 2631: 2603: 2596: 2558: 2553: 2475: 2473:Further reading 2470: 2447: 2443: 2431: 2424: 2405: 2401: 2364: 2360: 2329: 2325: 2317: 2299: 2295: 2289: 2275: 2271: 2247: 2241: 2237: 2198: 2194: 2147: 2143: 2132:EQUATOR Network 2122: 2121: 2117: 2064: 2060: 2007: 2003: 1956: 1952: 1913: 1909: 1854: 1850: 1843: 1825: 1811: 1804: 1793: 1789: 1755: 1749: 1740: 1717: 1713: 1690: 1686: 1641: 1637: 1614: 1610: 1603: 1589: 1585: 1563: 1559: 1552: 1534: 1530: 1499: 1495: 1479:10.1002/ffo2.56 1458: 1454: 1423: 1419: 1388: 1384: 1377: 1354: 1344: 1340: 1307:(2): e1000217. 1293: 1286: 1243: 1232: 1205: 1196: 1185: 1169: 1165: 1154: 1150: 1139: 1135: 1124: 1120: 1087: 1083: 1079: 1064:Wideband delphi 1026: 972: 943: 923:decision-making 915: 907:Horizon Project 902: 896: 887: 870: 854: 833:side conference 825:main conference 731: 722: 706:economic trends 690: 685: 665: 657: 644: 627: 610: 533: 480: 454: 450: 435: 363:Critical design 310:Future workshop 210:Kardashev scale 205:Kondratiev wave 125:Futures studies 115: 104: 98: 95: 58:"Delphi method" 52: 50: 40: 28: 17: 12: 11: 5: 3443: 3433: 3432: 3427: 3422: 3417: 3400: 3399: 3397: 3396: 3391: 3386: 3385: 3384: 3374: 3369: 3364: 3359: 3354: 3353: 3352: 3341: 3339: 3335: 3334: 3332: 3331: 3325: 3324: 3323: 3313: 3308: 3303: 3298: 3293: 3288: 3283: 3278: 3273: 3268: 3262: 3257: 3251: 3246: 3241: 3236: 3231: 3222: 3217: 3212: 3207: 3201: 3196: 3190: 3184: 3178: 3173: 3168: 3163: 3158: 3153: 3148: 3143: 3137: 3135: 3129: 3128: 3126: 3125: 3120: 3115: 3114: 3113: 3103: 3098: 3093: 3092: 3091: 3089:Warning system 3081: 3076: 3075: 3074: 3069: 3064: 3052: 3051: 3050: 3045: 3040: 3035: 3034: 3033: 3028: 3018: 3013: 3008: 2996: 2995: 2994: 2989: 2984: 2974: 2973: 2972: 2967: 2962: 2957: 2944: 2942: 2936: 2935: 2932: 2931: 2929: 2928: 2923: 2918: 2913: 2907: 2905: 2901: 2900: 2898: 2897: 2892: 2889:Strategic risk 2885: 2884: 2883: 2878: 2873: 2868: 2863: 2858: 2856:Liquidity risk 2853: 2845:Financial risk 2841: 2840: 2839: 2834: 2829: 2824: 2819: 2817:Execution risk 2807: 2806: 2805: 2800: 2795: 2785: 2780: 2779: 2778: 2773: 2759: 2758: 2757: 2752: 2742: 2741: 2740: 2738:Political risk 2730: 2729: 2728: 2718: 2717: 2716: 2711: 2701: 2700: 2699: 2691:Business risks 2686: 2684: 2677: 2673: 2672: 2665: 2664: 2657: 2650: 2642: 2633: 2632: 2630: 2629: 2624: 2619: 2614: 2608: 2605: 2604: 2595: 2594: 2587: 2580: 2572: 2566: 2565: 2557: 2556:External links 2554: 2552: 2551: 2524:(3): 371–378. 2513: 2476: 2474: 2471: 2469: 2468: 2441: 2422: 2399: 2378:(2): 368–380. 2358: 2323: 2315: 2293: 2287: 2269: 2258:(2): 149–171. 2235: 2192: 2141: 2115: 2058: 2001: 1950: 1923:(4): 649–657. 1907: 1848: 1841: 1823: 1802: 1787: 1768:(2): 880–896. 1738: 1711: 1684: 1635: 1608: 1601: 1583: 1557: 1550: 1528: 1493: 1452: 1433:(4): 353–375. 1417: 1382: 1375: 1338: 1284: 1230: 1194: 1191:on 2008-05-20. 1183: 1163: 1148: 1133: 1118: 1097:(3): 458–467. 1080: 1078: 1075: 1074: 1073: 1066: 1061: 1056: 1054:Planning poker 1051: 1046: 1041: 1032: 1025: 1022: 1018:Deutsche Börse 1014: 1013: 1010: 1007: 1004: 997: 996: 993: 990: 971: 968: 942: 939: 914: 911: 898:Main article: 895: 892: 886: 883: 869: 866: 853: 850: 841: 840: 816: 797: 796: 793: 785: 784: 781: 778: 730: 727: 721: 718: 689: 686: 684: 681: 664: 661: 656: 653: 649:group dynamics 643: 640: 626: 623: 609: 606: 532: 529: 437: 436: 434: 433: 426: 419: 411: 408: 407: 406: 405: 400: 395: 390: 385: 380: 375: 370: 368:Design fiction 365: 357: 356: 345: 344: 343: 342: 340:Trend analysis 337: 332: 327: 322: 317: 312: 307: 302: 297: 292: 291: 290: 280: 275: 270: 265: 260: 252: 251: 245: 244: 243: 242: 237: 232: 227: 222: 217: 212: 207: 202: 197: 196: 195: 190: 185: 180: 175: 170: 162: 157: 152: 144: 143: 137: 136: 128: 127: 117: 116: 31: 29: 22: 15: 9: 6: 4: 3: 2: 3442: 3431: 3428: 3426: 3423: 3421: 3418: 3416: 3413: 3412: 3410: 3395: 3392: 3390: 3387: 3383: 3380: 3379: 3378: 3375: 3373: 3370: 3368: 3365: 3363: 3362:Risk appetite 3360: 3358: 3355: 3351: 3350:ISO/IEC 31010 3348: 3347: 3346: 3343: 3342: 3340: 3336: 3329: 3326: 3322: 3319: 3318: 3317: 3314: 3312: 3309: 3307: 3304: 3302: 3299: 3297: 3294: 3292: 3289: 3287: 3284: 3282: 3279: 3277: 3274: 3272: 3269: 3266: 3263: 3261: 3260:Decision tree 3258: 3255: 3252: 3250: 3247: 3245: 3242: 3240: 3237: 3235: 3232: 3230: 3226: 3223: 3221: 3218: 3216: 3213: 3211: 3208: 3205: 3202: 3200: 3197: 3194: 3191: 3188: 3185: 3182: 3179: 3177: 3174: 3172: 3171:Delphi method 3169: 3167: 3164: 3162: 3161:Brainstorming 3159: 3157: 3154: 3152: 3149: 3147: 3144: 3142: 3139: 3138: 3136: 3134: 3130: 3124: 3121: 3119: 3116: 3112: 3109: 3108: 3107: 3104: 3102: 3099: 3097: 3094: 3090: 3087: 3086: 3085: 3082: 3080: 3077: 3073: 3070: 3068: 3065: 3063: 3060: 3059: 3058: 3057: 3053: 3049: 3046: 3044: 3041: 3039: 3036: 3032: 3029: 3027: 3024: 3023: 3022: 3019: 3017: 3014: 3012: 3009: 3007: 3004: 3003: 3002: 3001: 2997: 2993: 2990: 2988: 2985: 2983: 2980: 2979: 2978: 2975: 2971: 2968: 2966: 2963: 2961: 2958: 2956: 2953: 2952: 2951: 2950: 2946: 2945: 2943: 2941: 2937: 2927: 2926:Vulnerability 2924: 2922: 2919: 2917: 2914: 2912: 2909: 2908: 2906: 2902: 2896: 2895:Residual risk 2893: 2891: 2890: 2886: 2882: 2881:Systemic risk 2879: 2877: 2874: 2872: 2869: 2867: 2864: 2862: 2859: 2857: 2854: 2852: 2849: 2848: 2847: 2846: 2842: 2838: 2835: 2833: 2830: 2828: 2825: 2823: 2820: 2818: 2815: 2814: 2813: 2812: 2808: 2804: 2801: 2799: 2796: 2794: 2791: 2790: 2789: 2788:Security risk 2786: 2784: 2783:Safety hazard 2781: 2777: 2774: 2772: 2769: 2768: 2767: 2766:External risk 2763: 2760: 2756: 2753: 2751: 2748: 2747: 2746: 2743: 2739: 2736: 2735: 2734: 2731: 2727: 2724: 2723: 2722: 2719: 2715: 2712: 2710: 2707: 2706: 2705: 2704:Personal risk 2702: 2698: 2695: 2694: 2693: 2692: 2688: 2687: 2685: 2681: 2678: 2674: 2670: 2663: 2658: 2656: 2651: 2649: 2644: 2643: 2640: 2628: 2625: 2623: 2620: 2618: 2617:Delphi method 2615: 2613: 2610: 2609: 2606: 2601: 2593: 2588: 2586: 2581: 2579: 2574: 2573: 2570: 2563: 2560: 2559: 2547: 2543: 2539: 2535: 2531: 2527: 2523: 2519: 2514: 2509: 2505: 2500: 2495: 2491: 2487: 2483: 2478: 2477: 2464: 2460: 2456: 2452: 2445: 2439: 2435: 2429: 2427: 2418: 2414: 2410: 2403: 2394: 2389: 2385: 2381: 2377: 2373: 2369: 2362: 2354: 2350: 2346: 2342: 2339:(1): 83–101. 2338: 2334: 2327: 2318: 2312: 2308: 2304: 2297: 2290: 2284: 2280: 2273: 2265: 2261: 2257: 2253: 2246: 2239: 2231: 2227: 2223: 2219: 2215: 2211: 2207: 2203: 2196: 2188: 2184: 2179: 2174: 2169: 2164: 2160: 2156: 2152: 2145: 2137: 2133: 2129: 2125: 2119: 2111: 2107: 2102: 2097: 2093: 2089: 2085: 2081: 2077: 2073: 2069: 2062: 2054: 2050: 2045: 2040: 2036: 2032: 2028: 2024: 2020: 2016: 2012: 2005: 1997: 1993: 1988: 1983: 1978: 1973: 1969: 1965: 1961: 1954: 1946: 1942: 1938: 1934: 1930: 1926: 1922: 1918: 1911: 1903: 1899: 1895: 1891: 1886: 1881: 1876: 1871: 1867: 1863: 1859: 1852: 1844: 1838: 1834: 1826: 1820: 1816: 1809: 1807: 1798: 1791: 1783: 1779: 1775: 1771: 1767: 1763: 1762: 1754: 1747: 1745: 1743: 1734: 1730: 1726: 1722: 1715: 1707: 1703: 1699: 1695: 1688: 1680: 1676: 1671: 1666: 1662: 1658: 1654: 1650: 1646: 1639: 1631: 1627: 1623: 1619: 1612: 1604: 1598: 1594: 1587: 1580: 1576: 1572: 1568: 1561: 1553: 1547: 1543: 1539: 1532: 1524: 1520: 1516: 1512: 1508: 1504: 1497: 1489: 1485: 1480: 1475: 1471: 1467: 1463: 1456: 1448: 1444: 1440: 1436: 1432: 1428: 1421: 1413: 1409: 1405: 1401: 1397: 1393: 1386: 1378: 1372: 1368: 1364: 1360: 1353: 1349: 1342: 1334: 1330: 1325: 1320: 1315: 1310: 1306: 1302: 1301:PLOS Medicine 1298: 1291: 1289: 1280: 1276: 1272: 1268: 1264: 1260: 1256: 1252: 1248: 1241: 1239: 1237: 1235: 1226: 1222: 1218: 1214: 1210: 1203: 1201: 1199: 1190: 1186: 1180: 1176: 1175: 1167: 1159: 1152: 1144: 1137: 1129: 1122: 1113: 1108: 1104: 1100: 1096: 1092: 1085: 1081: 1072: 1071: 1067: 1065: 1062: 1060: 1057: 1055: 1052: 1050: 1047: 1045: 1042: 1040: 1036: 1033: 1031: 1028: 1027: 1021: 1019: 1011: 1008: 1005: 1002: 1001: 1000: 994: 991: 988: 987: 986: 984: 979: 977: 967: 965: 959: 955: 952: 948: 938: 936: 930: 928: 924: 919: 910: 908: 901: 891: 882: 880: 875: 874:public health 865: 863: 859: 849: 846: 838: 834: 830: 826: 822: 817: 814: 813: 808: 804: 803:. These are: 802: 794: 790: 789: 788: 782: 779: 776: 772: 768: 764: 760: 756: 752: 748: 744: 740: 736: 735: 734: 726: 717: 715: 709: 707: 702: 700: 696: 680: 676: 674: 670: 660: 652: 650: 639: 637: 633: 622: 614: 605: 603: 598: 594: 592: 588: 584: 580: 576: 572: 568: 563: 561: 557: 553: 549: 544: 542: 538: 528: 524: 522: 518: 513: 507: 503: 501: 497: 493: 489: 485: 484: 475: 448: 444: 443:Delphi method 432: 427: 425: 420: 418: 413: 412: 410: 409: 404: 401: 399: 396: 394: 391: 389: 386: 384: 381: 379: 376: 374: 371: 369: 366: 364: 361: 360: 359: 358: 355: 351: 347: 346: 341: 338: 336: 335:Threatcasting 333: 331: 328: 326: 323: 321: 318: 316: 313: 311: 308: 306: 305:Futures wheel 303: 301: 298: 296: 293: 289: 286: 285: 284: 281: 279: 276: 274: 271: 269: 266: 264: 261: 259: 256: 255: 254: 253: 250: 247: 246: 241: 240:Swanson's law 238: 236: 233: 231: 228: 226: 223: 221: 218: 216: 213: 211: 208: 206: 203: 201: 198: 194: 191: 189: 186: 184: 181: 179: 176: 174: 171: 169: 166: 165: 163: 161: 158: 156: 153: 151: 148: 147: 146: 145: 142: 139: 138: 134: 130: 129: 126: 123: 122: 113: 110: 102: 91: 88: 84: 81: 77: 74: 70: 67: 63: 60: –  59: 55: 54:Find sources: 48: 44: 38: 37: 32:This article 30: 26: 21: 20: 3170: 3054: 3006:Supply chain 2998: 2976: 2947: 2887: 2843: 2832:Country risk 2809: 2787: 2771:Extreme risk 2721:Natural risk 2703: 2689: 2616: 2598:Qualitative 2521: 2517: 2489: 2485: 2454: 2450: 2444: 2433: 2417:the original 2412: 2402: 2375: 2371: 2361: 2336: 2332: 2326: 2306: 2302: 2296: 2278: 2272: 2255: 2251: 2238: 2205: 2201: 2195: 2158: 2154: 2144: 2127: 2118: 2075: 2071: 2061: 2018: 2014: 2004: 1967: 1963: 1953: 1920: 1916: 1910: 1885:11424/243850 1868:(1): 60–78. 1865: 1861: 1851: 1832: 1814: 1796: 1790: 1765: 1759: 1727:(3): 18–27. 1724: 1720: 1714: 1697: 1693: 1687: 1652: 1648: 1638: 1621: 1617: 1611: 1592: 1586: 1578: 1574: 1570: 1560: 1541: 1531: 1506: 1502: 1496: 1469: 1465: 1455: 1430: 1426: 1420: 1398:(9): 11–16. 1395: 1391: 1385: 1358: 1341: 1304: 1300: 1257:(1): 11–23. 1254: 1250: 1216: 1212: 1189:the original 1173: 1166: 1151: 1136: 1121: 1094: 1090: 1084: 1068: 1015: 998: 980: 973: 960: 956: 950: 944: 931: 920: 916: 903: 888: 871: 855: 842: 836: 832: 828: 824: 820: 798: 786: 774: 770: 766: 762: 758: 755:desirability 754: 750: 746: 742: 738: 732: 723: 710: 703: 691: 683:Applications 677: 672: 668: 666: 658: 645: 628: 619: 599: 595: 579:Project RAND 564: 545: 536: 534: 525: 508: 504: 491: 487: 446: 442: 440: 300:Future-proof 282: 105: 96: 86: 79: 72: 65: 53: 41:Please help 36:verification 33: 3415:Forecasting 3372:Rare events 3311:Risk Matrix 2921:Uncertainty 2904:Risk source 2876:Profit risk 2871:Market risk 2851:Credit risk 2709:Health risk 2600:forecasting 2372:IEEE Access 2021:(1): 4450. 927:e-democracy 837:Hyperdelphi 801:e-democracy 763:probability 759:feasibility 749:items, and 739:forecasting 669:facilitator 636:halo effect 593:procedure. 591:Imen-Delphi 583:Olaf Helmer 567:forecasting 554:. 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Futures studies

Concepts
Accelerating change
Cashless society
Global catastrophic risk
Earth
Mathematics
Race
Climate
Space exploration
Universe
Historical materialism
Kondratiev wave
Kardashev scale
Moore's law
Peak oil
Population cycle
Resource depletion

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