QUICKScan as a quick and participatory methodology for problem identification and scoping in policy processes

Peter Verweij*, Sander Janssen, Leon Braat, Michiel van Eupen, Marta Pérez Soba, Manuel Winograd, Wim de Winter, Anouk Cormont

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

15 Citations (Scopus)

Abstract

Policy making is required in cases in which a public good needs to be either maintained or created, and private or civil initiatives cannot deal alone with this. Policy making thus starts with a phase of problem identification and determining whether there is a problem that needs to be dealt with. Rapidly evolving contexts exert influence on policy makers who have to take decisions much faster and more accurately than in the past, also facing greater complexity. There is a need for a method that lowers the lead time of the exploratory phase of the policy cycle. At the same time the method should create a joint understanding of the most important interactions. This paper proposes QUICKScan, a method, process and spatially explicit tool, to jointly scope policy problems in a participatory setting, investigate the most important interactions and feedbacks and assesses the state of knowledge and data of relevance to the problem. QUICKScan uses strongly moderated participatory workshops bringing together a wide range of stakeholders relevant to the policy issue. These moderated workshops jointly build an expert system in a spatially explicit tool using functionality of bayesian belief networks, python programming, simple map algebra and knowledge matrices, with a strong focus on visualization of results. QUICKScan has been applied in 70 different applications in a range of different policy contexts, stakeholders and physical locations. Through these applications participants were able to internalize the knowledge that was usually handed to them in briefs and reports, to develop a joint understanding of the main interactions and their link to impacts and to develop a problem statement and solution space in a reduced lead time. Ultimately, QUICKScan demonstrates another role of science, not solely as a knowledge production, but also facilitating the knowledge consumption.

Original languageEnglish
Pages (from-to)47-61
JournalEnvironmental Science & Policy
Volume66
DOIs
Publication statusPublished - 2016

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methodology
policy making
stakeholder
interaction
knowledge-based system
expert system
knowledge production
functionality
visualization
programming
policy
matrix
science
method
time

Keywords

  • Decision making
  • Environmental policy
  • Impact assessment
  • Participatory
  • Spatial planning
  • Trade-off

Cite this

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title = "QUICKScan as a quick and participatory methodology for problem identification and scoping in policy processes",
abstract = "Policy making is required in cases in which a public good needs to be either maintained or created, and private or civil initiatives cannot deal alone with this. Policy making thus starts with a phase of problem identification and determining whether there is a problem that needs to be dealt with. Rapidly evolving contexts exert influence on policy makers who have to take decisions much faster and more accurately than in the past, also facing greater complexity. There is a need for a method that lowers the lead time of the exploratory phase of the policy cycle. At the same time the method should create a joint understanding of the most important interactions. This paper proposes QUICKScan, a method, process and spatially explicit tool, to jointly scope policy problems in a participatory setting, investigate the most important interactions and feedbacks and assesses the state of knowledge and data of relevance to the problem. QUICKScan uses strongly moderated participatory workshops bringing together a wide range of stakeholders relevant to the policy issue. These moderated workshops jointly build an expert system in a spatially explicit tool using functionality of bayesian belief networks, python programming, simple map algebra and knowledge matrices, with a strong focus on visualization of results. QUICKScan has been applied in 70 different applications in a range of different policy contexts, stakeholders and physical locations. Through these applications participants were able to internalize the knowledge that was usually handed to them in briefs and reports, to develop a joint understanding of the main interactions and their link to impacts and to develop a problem statement and solution space in a reduced lead time. Ultimately, QUICKScan demonstrates another role of science, not solely as a knowledge production, but also facilitating the knowledge consumption.",
keywords = "Decision making, Environmental policy, Impact assessment, Participatory, Spatial planning, Trade-off",
author = "Peter Verweij and Sander Janssen and Leon Braat and {van Eupen}, Michiel and {P{\'e}rez Soba}, Marta and Manuel Winograd and {de Winter}, Wim and Anouk Cormont",
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QUICKScan as a quick and participatory methodology for problem identification and scoping in policy processes. / Verweij, Peter; Janssen, Sander; Braat, Leon; van Eupen, Michiel; Pérez Soba, Marta; Winograd, Manuel; de Winter, Wim; Cormont, Anouk.

In: Environmental Science & Policy, Vol. 66, 2016, p. 47-61.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Verweij, Peter

AU - Janssen, Sander

AU - Braat, Leon

AU - van Eupen, Michiel

AU - Pérez Soba, Marta

AU - Winograd, Manuel

AU - de Winter, Wim

AU - Cormont, Anouk

PY - 2016

Y1 - 2016

N2 - Policy making is required in cases in which a public good needs to be either maintained or created, and private or civil initiatives cannot deal alone with this. Policy making thus starts with a phase of problem identification and determining whether there is a problem that needs to be dealt with. Rapidly evolving contexts exert influence on policy makers who have to take decisions much faster and more accurately than in the past, also facing greater complexity. There is a need for a method that lowers the lead time of the exploratory phase of the policy cycle. At the same time the method should create a joint understanding of the most important interactions. This paper proposes QUICKScan, a method, process and spatially explicit tool, to jointly scope policy problems in a participatory setting, investigate the most important interactions and feedbacks and assesses the state of knowledge and data of relevance to the problem. QUICKScan uses strongly moderated participatory workshops bringing together a wide range of stakeholders relevant to the policy issue. These moderated workshops jointly build an expert system in a spatially explicit tool using functionality of bayesian belief networks, python programming, simple map algebra and knowledge matrices, with a strong focus on visualization of results. QUICKScan has been applied in 70 different applications in a range of different policy contexts, stakeholders and physical locations. Through these applications participants were able to internalize the knowledge that was usually handed to them in briefs and reports, to develop a joint understanding of the main interactions and their link to impacts and to develop a problem statement and solution space in a reduced lead time. Ultimately, QUICKScan demonstrates another role of science, not solely as a knowledge production, but also facilitating the knowledge consumption.

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KW - Environmental policy

KW - Impact assessment

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KW - Spatial planning

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JO - Environmental Science & Policy

JF - Environmental Science & Policy

SN - 1462-9011

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