Formalizing expert knowledge to compare alternative management plans: Sociological perspective to the future management of Baltic salmon stocks

Haapasaari, Päivi Elisabet; Karjalainen, Timo

doi:10.1016/j.marpol.2009.10.002

Cited by 39 publications

(25 citation statements)

References 27 publications

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“…The social scientists again used the Bayesian method in their study (Finnish Game andFisheries Research Institute 2009, Haapasaari andKarjalainen 2010). They saw the method as being useful for the evaluation of the long-term management options, because it enabled verbal information to be condensed into easily comparable quantitative values, because the information could potentially be combined with knowledge from other fields, and because it allowed the use of a small data set (Finnish Game andFisheries Research Institute 2009, Haapasaari andKarjalainen 2010). They were now able to carry out the modeling without help from natural scientists, but needed them to define the details for a survey.…”

Section: It Is Easy To Underestimate Another Discipline To Wonder Whmentioning

confidence: 99%

Growing into Interdisciplinarity: How to Converge Biology, Economics, and Social Science in Fisheries Research?

Haapasaari¹,

Kulmala²,

Kuikka³

2012

E&S

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ABSTRACT. It has been acknowledged that natural sciences alone cannot provide an adequate basis for the management of complex environmental problems. The scientific knowledge base has to be expanded in a more holistic direction by incorporating social and economic issues. As well, the multifaceted knowledge has to be summarized in a form that can support science-based decision making. This is, however, difficult. Interdisciplinary skills, practices, and methodologies are needed that enable the integration of knowledge from conceptually different disciplines. Through a focus on our research process, we analyzed how and what kind of interdisciplinarity between natural scientists, environmental economists, and social scientists grew from the need to better understand the complexity and uncertainty inherent to the Baltic salmon fisheries, and how divergent knowledge was integrated in a form that can support science-based decision making. The empirical findings suggest that interdisciplinarity is an extensive learning process that takes place on three levels: between individuals, between disciplines, and between types of knowledge. Such a learning process is facilitated by agreeing to a methodological epochè and by formulating a global question at the outset of a process.

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Section: It Is Easy To Underestimate Another Discipline To Wonder Whmentioning

confidence: 99%

Growing into Interdisciplinarity: How to Converge Biology, Economics, and Social Science in Fisheries Research?

Haapasaari¹,

Kulmala²,

Kuikka³

2012

E&S

Self Cite

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“…Thus, expert knowledge and machine learning techniques can be combined in different ways as an important part in SES modelling: both are capable of focussing on the most important components and can evaluate the model to improve it (Cyr et al, 2010;Haapasaari and Karjalainen, 2010;Voinov and Bousquet, 2010;Zorrilla et al, 2010). Modelling with the participation of experts and stakeholders has several advantages from a social, instrumental and methodological point of view (Voinov and Bousquet, 2010).…”

Section: Hybrid Bns and Systemic Changementioning

confidence: 99%

Modelling uncertainty in social–natural interactions

Ropero

Rumí

Aguilera

2016

Environmental Modelling & Software

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“…BNs can also help to identify knowledge gaps. Haapasaari and Karjalainen (2010) concluded that the probabilistic language of BNs enabled the integration of social, natural and economic perspectives which in turn facilitated the communication within their multi-disciplinary research group.  Explicit inclusion of stakeholder knowledge and perspectives: Stakeholders contribute, in a first step, to the construction of the causal net, which allows articulation of their specific knowledge and views on the environmental system under consideration.…”

Section: Strengths mentioning

confidence: 99%

A Review of Bayesian Networks as a Participatory Modeling Approach in Support of Sustainable Environmental Management

Duespohl¹,

Frank²,

Doell³

2012

JSD

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To support sustainable environmental management, uncertain knowledge about complex human-environment-systems from both inside and outside of academia needs to be integrated. Bayesian Network (BN) modeling is a promising method to achieve this, in particular if done in a participatory manner. Based on a review of 30 cases of participatory BN modeling of environmental problem fields, and of three guidelines, we summarize recommendations for BN modeling with stakeholder involvement. In addition, strengths and limitations of BNs are synthesized. We found that BNs were successfully applied for knowledge integration and identification of sustainable management strategies within participatory processes. Due to many favorable characteristics, BNs have the potential to become a core method of transdisciplinary knowledge integration in environmental management.

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Formalizing expert knowledge to compare alternative management plans: Sociological perspective to the future management of Baltic salmon stocks

Cited by 39 publications

References 27 publications

Growing into Interdisciplinarity: How to Converge Biology, Economics, and Social Science in Fisheries Research?

Growing into Interdisciplinarity: How to Converge Biology, Economics, and Social Science in Fisheries Research?

Modelling uncertainty in social–natural interactions

A Review of Bayesian Networks as a Participatory Modeling Approach in Support of Sustainable Environmental Management

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