Assessing attitudes and cognitive styles of stakeholders in environmental projects involving computer modelling

Boschetti, Fabio; Richert, Claire; Walker, Iain; Price, Jennifer; Dutra, Leo X.C.

doi:10.1016/j.ecolmodel.2012.07.027

Cited by 37 publications

(34 citation statements)

References 63 publications

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“…They are more likely to believe that climate change is anthropogenic (we used measures from [74]). They show no difference in attitudes towards Science [140], Risk [151], Uncertainty [152], the environment [140]. Finally we did not find significant differences in levels of trust in local and federal Government, family, community and News [140], but display less trust in Scientists and Environmental Organisations.…”

Section: Participants' Cognitive Signaturementioning

confidence: 59%

“…In order to further explore these issues, we asked some participants to answer the questionnaire described in [140], which was designed to sketch an individual's cognitive signature, by exploring political attitudes, worldviews and other cognitive constructs. Only the participants willing to be contacted as follow up to the focus groups were asked to respond to the survey.…”

Section: Participants' Cognitive Signaturementioning

confidence: 99%

“…A description of each constructs can be found in [140]. It also included questions about political orientation, climate beliefs, expectations about Australian future, trust in institutions, environment commitment and some basic demographics.…”

Section: Participants' Cognitive Signaturementioning

confidence: 99%

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Citizens’ Views of Australia’s Future to 2050

2014

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Abstract:In four focus group exercises involving both forecasting and backcasting approaches, we gave approximately 100 Australian citizens the opportunity to discuss likely, desirable and feared futures to 2050. The image they paint is both coherent and consistent. Education, governance, personal attitudes and societal trends, rather than specific events, are drivers of a future which is perceived as being largely shaped by human choices. Innovation is believed to be more necessary in novel social arrangements than in further technology. The most feared futures arise from an amplification of trends already at play in the present: economic growth at the expense of the environment and quality of life, lack of equity, poor government, corporate greed, commercialism and erosion of social values. Economic and material growth does not feature in the most desired futures which are local, inclusive, peaceful, equitable and in some cases frugal. The visions and scenarios developed find a place within established foresight frameworks and global political narratives, but seem to lie at the fringe of current media and short-term political discourse. These results should not be interpreted as representative of the overall Australian population, but suggest that extending the analysis to the broader community could provide significant insights and enrich the discussion of important societal choices. OPEN ACCESSSustainability 2015, 7 223

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Section: Participants' Cognitive Signaturementioning

confidence: 59%

Section: Participants' Cognitive Signaturementioning

confidence: 99%

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Citizens’ Views of Australia’s Future to 2050

2014

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“…Different epistemological backgrounds, cognitive styles and personal interests influence stakeholders' interpretation and use of information, including information generated by ecological models [9,10]. This diversity is pertinent to fisheries systems, particularly in the Regional Advisory Councils (RACs) of European waters where two thirds of representatives stem from the fisheries sector and the remaining third represent other interested groups.…”

Section: Introductionmentioning

confidence: 99%

“…This alienation is not due to lack of education or understanding among stakeholders but results from their epistemological backgrounds and cognitive styles (i.e. how information is processed, stored and structured, [9]). For example, the mathematical nature of information limits its accessibility to only those stakeholders having the required scientific background [24].…”

Section: Introductionmentioning

confidence: 99%

Identifying functional stakeholder clusters to maximise communication for the ecosystem approach to fisheries management

Duggan¹,

Farnsworth²,

Kraak

2013

Marine Policy

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Models and people: An alternative view of the emergent properties of computational models

Boschetti

2015

Complexity

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Computer models can help humans gain insight into the functioning of complex systems. Used for training, they can also help gain insight into the cognitive processes humans use to understand these systems. By influencing humans understanding (and consequent actions) computer models can thus generate an impact on both these actors and the very systems they are designed to simulate. When these systems also include humans, a number of self-referential relations thus emerge which can lead to very complex dynamics. This is particularly true when we explicitly acknowledge and model the existence of multiple conflicting representations of reality among different individuals. Given the increasing availability of computational devices, the use of computer models to support individual and shared decision making could potentially have implications far wider than the ones often discussed within the Information and Communication Technologies community in terms of computational power and network communication. We discuss some theoretical implications and describe some initial numerical simulations.

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Assessing attitudes and cognitive styles of stakeholders in environmental projects involving computer modelling

Cited by 37 publications

References 63 publications

Citizens’ Views of Australia’s Future to 2050

Citizens’ Views of Australia’s Future to 2050

Identifying functional stakeholder clusters to maximise communication for the ecosystem approach to fisheries management

Models and people: An alternative view of the emergent properties of computational models

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