Participatory computer simulation to support collective decision-making: Potential and limits of stakeholder involvement

Bécu, Nicolas; Neef, Andreas; Schreinemachers, Pepijn; Sangkapitux, Chapika

doi:10.1016/j.landusepol.2007.11.002

Cited by 133 publications

(92 citation statements)

References 18 publications

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“…Farmers targeted by participatory research in New Zealand reportedly got involved in the project because they expected an increased profitability of their cropping system (Bruges and Smith 2008). A case study on participatory watershed modeling in Thailand found that local stakeholders are more willing to cooperate with scientists if there is a salient problem they need to solve and if they believe that they can influence the research process, e.g., by proposing scenarios to be tested (Becu et al 2008). …”

Section: Vb Local Stakeholders' Perception Of the Research Projectmentioning

confidence: 99%

“…These more conciliatory positions-stripped of the simple ''farmer-first'' ideologies of the past that tended to put participatory research in opposition to conventional research-are also reflected in a proliferation of approaches that combine various forms of stakeholder participation with cutting-edge scientific research. Examples are approaches like participatory plant breeding (PPB) where the newest advances in molecular biology can be combined with farmers' priority setting, evaluation, and adaptation (Weltzien et al 2000;Christinck et al 2005) or participatory land use modeling where innovative multi-agent system (MAS) computer models and their various scenarios are developed, validated, and refined through roleplaying games and other interactive methods (Bousquet et al 2005;Neef et al 2006;Becu et al 2008).…”

Section: Introductionmentioning

confidence: 99%

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Stakeholder participation in agricultural research projects: a conceptual framework for reflection and decision-making

2010

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Recent discourse in the field of participatory agricultural research has focused on how to blend various forms and intensities of stakeholder participation with quality agricultural science, moving beyond the simple ''farmer-first'' ideology of the 1980s and early 1990s. Yet, most existing frameworks of participation in agricultural research still adhere to a linear typology of participatory research with an inherent claim of ''the more participation, the better.'' In this article, we propose a new framework that looks at participatory research elements along different dimensions and attributes and thus takes into account the diversity and dynamics of agricultural research projects. The framework provides a basis for agricultural researchers engaged in participatory processes with local stakeholders to decide for which issues and in which phases certain participatory elements could be used in a specific research context. Rather than aiming at maximizing the adoption of participatory methods, it can thus become a tool for optimizing the use of participatory approaches in agricultural research. We conclude that this framework can be a starting point for a more thoughtful integration of participatory elements in agricultural research projects that does justice to the multidimensional and dynamic nature of stakeholder participation in varying contexts.

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Section: Vb Local Stakeholders' Perception Of the Research Projectmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stakeholder participation in agricultural research projects: a conceptual framework for reflection and decision-making

2010

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“…This literature concerns how to: (1) bring people to the table, for example with the use of participatory modeling (Becu et al 2008, Jones et al 2009); (2) consider a diverse array of knowledge, perspectives, and values (Beratan 2007, Hermans et al 2007, Steyaert et al 2007); and (3) increase stakeholder participation (e.g., Lal et al 2001, Herath and Prato 2006, Castella 2009, Hayati et al 2009). These studies help us understand how to create and increase participation in collective common pool resource management, but they do not illustrate how group structure and participant interactions influence collective decision making within already established conservation organizations.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Mechanisms of Collective Decision Making in Ecological Restoration: An Agent-Based Model of Actors and Organizations

Watkins¹,

Massey²,

Brooks³

et al. 2013

E&S

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ABSTRACT. Ecological restoration, particularly in urban contexts, is a complex collective decision-making process that involves a diversity of stakeholders and experts, each with their own perceptions and preferences about what landscapes should and can look like, how to get them to the desired state, and on what timeline. We investigate how structural and behavioral factors may influence collective decision making in the context of ecological restoration, with the purpose of establishing general relationships between management styles (defined by structural and behavioral factors of the organization) and decision outcomes. Informed by existing literature on collective decision making and by empirical data from the Chicago Wilderness region, we present a stylized agent-based model that maps out and simulates the processes by which individuals within restoration organizations communicate, discuss, and ultimately make a decision. Our study examines how structural and behavioral characteristicsincluding: (a) the number of actors and groups involved in decision making, (b) the frequency and type of interactions among actors, (c) the initial setup of positions and respect, (d) outside information, and (e) entrenchment and cost of dissent-lead to or prohibit group convergence in terms of collective position, variation in position across actors, and final decision strategies. We found that formal meetings and group leaders are important facilitators of convergence, especially when multiple groups are present, new information is introduced in the process, and participants are polarized around an issue. Also, intergroup interactions are particularly important for overall convergence. Position entrenchment slows the convergence process and increases the need for decision strategies involving outside intervention. Cost of dissent can reinforce these effects. Our study formalizes collective decision-making processes within the context of ecological restoration, establishes generalizable relationships between these processes and decision outcomes, and provides a foundation for further empirical and modeling research.

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“…Landscape representations used in these efforts may be on computer screens, printed paper maps, topographic paper mâché models, or simple sketches in the sand. In participatory modeling (e.g., Becu et al 2008 ), stakeholders are involved directly in developing computer simulations, either in the model used in discovery or in some simplifi ed version. This work can be challenging, ensuring that concepts such as simulation and scenario analyses are conveyed to participants well, but can be effective.…”

Section: Integrated Modeling With Stakeholdersmentioning

confidence: 99%

Simulation as an Approach to Social-Ecological Integration, with an Emphasis on Agent-Based Modeling

Boone

Galvin

2014

Understanding Society and Natural Resources

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Participatory computer simulation to support collective decision-making: Potential and limits of stakeholder involvement

Cited by 133 publications

References 18 publications

Stakeholder participation in agricultural research projects: a conceptual framework for reflection and decision-making

Stakeholder participation in agricultural research projects: a conceptual framework for reflection and decision-making

Understanding the Mechanisms of Collective Decision Making in Ecological Restoration: An Agent-Based Model of Actors and Organizations

Simulation as an Approach to Social-Ecological Integration, with an Emphasis on Agent-Based Modeling

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