Integrating conventional science and aboriginal perspectives on diabetes using fuzzy cognitive maps

Giles, Brian G.; Findlay, C. Scott; Haas, George; LaFrance, Brenda; Laughing, Wesley; Pembleton, Sakakohe

doi:10.1016/j.socscimed.2006.09.007

Cited by 83 publications

(56 citation statements)

References 68 publications

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“…Thus weighted, “fuzzy” cognitive maps (FCM) offer a useful representation of knowledge about causalities that might otherwise seem unstructured and irreconcilable with Western knowledge [102]. Fuzzy cognitive mapping is commonly applied as a group decision support tool to better understand complex factors contributing to a particular outcome or decision [103,104]. We have used FCM to summarise local knowledge and beliefs around a community health issue, contrasting the local belief system around diabetes to that of Western science.…”

Section: Methods Development and Lessonsmentioning

confidence: 99%

Building the community voice into planning: 25 years of methods development in social audit

Andersson

2011

BMC Health Serv Res

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Health planners and managers make decisions based on their appreciation of causality. Social audits question the assumptions behind this and try to improve quality of available evidence. The method has its origin in the follow-up of Bhopal survivors in the 1980s, where “cluster cohorts” tracked health events over time. In social audit, a representative panel of sentinel sites are the framework to follow the impact of health programmes or reforms. The epidemiological backbone of social audit tackles causality in a calculated way, balancing computational aspects with appreciation of the limits of the science.Social audits share findings with planners at policy level, health services providers, and users in the household, where final decisions about use of public services rest. Sharing survey results with sample communities and service workers generates a second order of results through structured discussions. Aggregation of these evidence-based community-led solutions across a representative sample provides a rich substrate for decisions. This socialising of evidence for participatory action (SEPA) involves a different skill set but quality control and rigour are still important.Early social audits addressed settings without accepted sample frames, the fundamentals of reproducible questionnaires, and the logistics of data turnaround. Feedback of results to stakeholders was at CIET insistence – and at CIET expense. Later social audits included strong SEPA components. Recent and current social audits are institutionalising high level research methods in planning, incorporating randomisation and experimental designs in a rigorous approach to causality.The 25 years have provided a number of lessons. Social audit reduces the arbitrariness of planning decisions, and reduces the wastage of simply allocating resources the way they were in past years. But too much evidence easily exceeds the uptake capacity of decision takers. Political will of governments often did not match those of donors with interest conditioned by political cycles. Some reforms have a longer turnaround than the political cycle; short turnaround interventions can develop momentum. Experience and specialisation made social audit seem more simple than it is. The core of social audit, its mystique, is not easily taught or transferred. Yet teams in Mexico, Nicaragua, Canada, southern Africa, and Pakistan all have more than a decade of experience in social audit, their in-service training supported by a customised Masters programme.

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Section: Methods Development and Lessonsmentioning

confidence: 99%

Building the community voice into planning: 25 years of methods development in social audit

Andersson

2011

BMC Health Serv Res

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“…Each connection is assigned a weight e ij which quanties the strength of the causal relationship between concepts C i and C j (Kosko, 1986). A positive weight indicates an excitatory relationship, i.e., as C i increases C j increases, while a negative weight indicates an inhibitory relationship, i.e., as C i increases C j decreases (see also Giles et al, 2007). In its graphical form, a Fuzzy Cognitive Map provides domain knowledge as a collection of 'boxes' and 'arrows' that is relatively easy to visualise and manipulate.…”

Section: Definition and Backgroundmentioning

confidence: 99%

The potential of Fuzzy Cognitive Maps for semi-quantitative scenario development, with an example from Brazil

Kok

2009

Global Environmental Change

307

273

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“…When Axelrod in 1976 first introduced FCM, he used lay people in his research and when applied by Kosko in 1986, experts were used in the research. In recent research, FCM has both been applied in collecting and presenting expert's knowledge (Skov and Svenning 2003;Tan and Özesmi 2006), and for collecting and comparing knowledge from experts and from laypeople (Giles et al 2007). FCM has been applied in working with different stakeholder groups (Özesmi and Özesmi 2003;Skogoey and Skov 2007) and in cases where the focus has been nature conservation and landscape management (Isak 2008;Khan and Quaddos 2004).…”

Section: Fcm Overviewmentioning

confidence: 99%

Using fuzzy cognitive mapping techniques to model situation awareness for army infantry platoon leaders

Jones

Connors

Mossey

et al. 2011

Comput Math Organ Theory

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This paper describes work on the development of an actionable model of situation awareness for Army infantry platoon leaders using fuzzy cognitive mapping techniques. Developing this model based on the formal representation of the platoon leader provided by the Goal-Directed Task Analysis (GDTA) methodology advances current cognitive models because it provides valuable insight on how to effectively support human cognition within the decision-making process. We describe the modeling design approach and discuss validating the model using the VBS2 simulation environment.

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Integrating conventional science and aboriginal perspectives on diabetes using fuzzy cognitive maps

Cited by 83 publications

References 68 publications

Building the community voice into planning: 25 years of methods development in social audit

Building the community voice into planning: 25 years of methods development in social audit

The potential of Fuzzy Cognitive Maps for semi-quantitative scenario development, with an example from Brazil

Using fuzzy cognitive mapping techniques to model situation awareness for army infantry platoon leaders

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