2000
DOI: 10.1108/14636680010802447
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Bridging the gap between scenarios and models

Abstract: Practitioners of futures research think that most modelling, and especially economic modelling, is concerned with forecasting. Since it is generally agreed that futures research is not concerned with deterministic views of the future, futures researchers have turned their back on quantitative methods, relying instead on scenario methods. However, given the progress made in modelling techniques, there are no reasons to maintain the divorce between futures research and modelling, especially economic modelling. B… Show more

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Cited by 29 publications
(13 citation statements)
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“…Hughes (2013) proposes the development of a reflexive scenario process (with an iteration of linkages) to more effectively link near-term decisions to long-term objectives through transitions pathways. Other integrative efforts have focussed on linking qualitative storylines (or narrative scenarios) with more quantitative modelling exercises (Nakicenovic et al, 2000;O'Neill et al, 2015;van Vuuren and Kok, 2012;Fortes et al, 2015;McDowall, 2014;Fontela, 2000;Alcamo, 2008;Trutnevyte et al, 2014).…”
Section: Bridging Between Approachesmentioning
confidence: 99%
“…Hughes (2013) proposes the development of a reflexive scenario process (with an iteration of linkages) to more effectively link near-term decisions to long-term objectives through transitions pathways. Other integrative efforts have focussed on linking qualitative storylines (or narrative scenarios) with more quantitative modelling exercises (Nakicenovic et al, 2000;O'Neill et al, 2015;van Vuuren and Kok, 2012;Fortes et al, 2015;McDowall, 2014;Fontela, 2000;Alcamo, 2008;Trutnevyte et al, 2014).…”
Section: Bridging Between Approachesmentioning
confidence: 99%
“…Indeed, the scenarios we have generated should be submitted to further analysis in order to quantify the changes that may be experienced in a range of key variables that can be regarded as endogenous to the sector (crop area, production level, employment generation, existence of positive and negative externalities, etc. ), by means of mathematical modelling [37]. This new information will certainly provide a powerful framework for testing the credibility of potential futures.…”
Section: Discussionmentioning
confidence: 98%
“…There are many elements to credibility including testable calculations, transparency (of models assumptions, cause-effect linkages etc), inclusion of critical issues (Alcamo et al 1996) and for an acceptable balance between openness and rigour (Fontela 2000). The multiple facets that underpin the credibility of an IAM in the eyes of stakeholders must be approached from a variety of perspectives.…”
Section: Discussionmentioning
confidence: 99%