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Plan prediction: which policy is preferred by which people?

This book develops an innovative system, in the form of an "app", that harnesses the power of the internet to predict which sorts of people will prefer which policy in ANY planning situation. It chronicles the accumulated research wisdom behind the system’s reasoning, along with several le...

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Detalles Bibliográficos
Autor principal: Wyatt, Ray
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-46430-5
http://cds.cern.ch/record/2240461
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author Wyatt, Ray
author_facet Wyatt, Ray
author_sort Wyatt, Ray
collection CERN
description This book develops an innovative system, in the form of an "app", that harnesses the power of the internet to predict which sorts of people will prefer which policy in ANY planning situation. It chronicles the accumulated research wisdom behind the system’s reasoning, along with several less successful approaches to policy making that have been found wanting in the past – including the myth, usually peddled by strategic planners, that it is possible to find a "best" plan which optimally satisfies everybody. The book lays out an entirely new kind of Planning Support System (PSS). It will facilitate decision-making that is far more community-sensitive than previously, and it will drastically improve the performance of anyone who needs to plan within socially-sensitive contexts – which is all of us. A standout feature of the system is its commitment to “scientific rigour”, as shown by its predicted plan scores always being graphically presented within error margins so that true statistical significance is instantly observable. Moreover, the probabilities that its predictions are correct are always shown – a refreshing change from most, if not all other Decision Support Systems (DSS) that simply expect users to accept their outputs on faith alone.
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spelling cern-22404612021-04-21T19:24:05Zdoi:10.1007/978-3-319-46430-5http://cds.cern.ch/record/2240461engWyatt, RayPlan prediction: which policy is preferred by which people?EngineeringThis book develops an innovative system, in the form of an "app", that harnesses the power of the internet to predict which sorts of people will prefer which policy in ANY planning situation. It chronicles the accumulated research wisdom behind the system’s reasoning, along with several less successful approaches to policy making that have been found wanting in the past – including the myth, usually peddled by strategic planners, that it is possible to find a "best" plan which optimally satisfies everybody. The book lays out an entirely new kind of Planning Support System (PSS). It will facilitate decision-making that is far more community-sensitive than previously, and it will drastically improve the performance of anyone who needs to plan within socially-sensitive contexts – which is all of us. A standout feature of the system is its commitment to “scientific rigour”, as shown by its predicted plan scores always being graphically presented within error margins so that true statistical significance is instantly observable. Moreover, the probabilities that its predictions are correct are always shown – a refreshing change from most, if not all other Decision Support Systems (DSS) that simply expect users to accept their outputs on faith alone.Springeroai:cds.cern.ch:22404612017
spellingShingle Engineering
Wyatt, Ray
Plan prediction: which policy is preferred by which people?
title Plan prediction: which policy is preferred by which people?
title_full Plan prediction: which policy is preferred by which people?
title_fullStr Plan prediction: which policy is preferred by which people?
title_full_unstemmed Plan prediction: which policy is preferred by which people?
title_short Plan prediction: which policy is preferred by which people?
title_sort plan prediction: which policy is preferred by which people?
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-46430-5
http://cds.cern.ch/record/2240461
work_keys_str_mv AT wyattray planpredictionwhichpolicyispreferredbywhichpeople