Browsing by Author "Barreteau, Olivier"

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Adapting Science to Adaptive Managers: Spidergrams, Belief Models, and Multi-agent Systems Modeling
(2002) Lynam, Timothy; Bousquet, François; Le Page, Christophe; d'Aquino, Patrick; Barreteau, Olivier; Chinembiri, Frank; Mombeshora, Bright
"Two case studies are presented in which models were used as focal tools in problems associated with common-pool resource management in developing countries. In the first case study, based in Zimbabwe, Bayesian or Belief Networks were used in a project designed to enhance the adaptive management capacity of a community in a semiarid rangeland system. In the second case study, based in Senegal, multi-agent systems models were used in the context of role plays to communicate research findings to a community, as well as to explore policies for improved management of rangelands and arable lands over which herders and farmers were in conflict. "The paper provides examples of the use of computer-based modeling with stakeholders who had limited experience with computer systems and numerical analyses. The paper closes with a brief discussion of the major lessons learned from the two independent case studies. Perhaps the most important lesson was the development of a common understanding of a problem through the development of the models with key stakeholders. A second key lesson was the need for research to be adaptive if it were to benefit adaptive managers. Both case study situations required significant changes in project orientation as stakeholder needs were defined. Both case studies recognized the key role that research, and particularly the development of models, played in bring different actors together to formulate improved management strategies or policies. Participatory engagement with stakeholders is a time-consuming and relatively costly process in which, in the case studies, most of the costs were born by the research projects themselves. We raise the concern that these activities may not be widely replicable if such costs are not reduced or born by the stakeholders themselves."
A Framework for Clarifying Participation in Participatory Research to Prevent its Rejection for the Wrong Reasons
(2010) Barreteau, Olivier; Bots, Pieter W. G.; Daniell, Katherine A.
"Participatory research relies on stakeholder inputs to obtain its acclaimed benefits of improved social relevance, validity, and actionability of research outcomes. We focus here on participatory research in the context of natural resource management. Participants’ acceptance of participatory research processes is key to their implementation. Our first assumption is that this positive view and acceptance of participation in research processes is a public good for the whole participatory research community. We also assume that the diversity of participatory forms of research is rarely considered by potential participants when they make their decisions about whether or not to participate in a proposed process. We specifically address how to avoid stakeholders’ reluctance to be involved in participatory research projects based on disillusion with past experiences. We argue that the disappointment experienced by stakeholders and other participants (i.e., researchers and policy makers) can be avoided by being upfront and precise about how 'participation' will be implemented, and what kind of involvement is expected from participants. Such a collective effort from the research community can also clarify the variety of possible implementations for potential participants. Building on earlier efforts to characterize and categorize the diversity of participatory research approaches, we develop a conceptual analytic procedural framework to make participants’ roles explicit in the implementation of different participatory research processes. This framework consists of three facets: (1) the flows of information among participants and the control over these flows for each step in a process, i.e., who will be expected to produce information, who will use this information, and who will receive the results; (2) the timing of the involvement of participants in the different steps of the research process, and the framing power that is associated with each process step; and (3) the organization of communication among participants for each information flow, i.e., in what configuration (bilaterally or as a group, mediated or face to face) the interactions among researchers, stakeholders, and policy makers will take place. This framework can accommodate a wide variety of research methods, and highlights exactly how participants are involved in research processes. We are prescriptive in dealing with the need to be procedurally explicit when engaging in participatory research. We anticipate that using this framework will lead to more thoughtful acceptances or refusals to participate in proposed research processes. Our framework is based on various experiences with participatory research. It is intended to be used from the very beginning of a participatory research process as a conceptual guide for researchers. We suggest a protocol to transform it into more practical guidelines for communicating about upcoming participatory research processes. The leader of such processes should propose at each key stage an explicit, yet adaptive, plan for the following stages. This plan should also specify in what ways participants will be involved, and how the plan itself can be questioned and revised."