Abstract
Participatory methods for researching human–environmental interactions seek detailed inputs on all manner of issues, but the outputs are often only understandable to the technically literate. On the other hand, participatory methods that involve the co-design of structured outputs (maps, models, games, stories, etc.) can be used to represent and integrate the knowledge and views of participants authentically and can be interpretable to both ‘scientist’ and ‘non-scientist’ alike, thereby creating ‘sideways’ rather than top-down or bottom-up perspectives. This paper is both a methodological paper and a treatise that looks at some of the theory underpinning such approaches, drawing on the theory of citizen or ‘bottom-up’ stakeholder engagement in science but also co-created engagement, emphasising the learning and trust-building benefits of this ‘sideways’ engagement. It describes how some established and novel methods (participatory agent-based modelling; co-constructing computer games; and participatory social network mapping), can be used to engage stakeholders in iterative, constructivist communication, allowing researchers and stakeholders to co-create a structured ‘reality’ separate from the reality it represents. We discuss how such approaches support and contribute to scientific outputs that better represent participants’ reality. Our findings show that, when applied to ecosystem services, agricultural adaptation and disaster risk management, such representations provide communication opportunities and spaces for reflection and constructivist learning. The structured outputs allow stakeholders—both participant and researcher—to ‘mirror’ their human-environmental system to collaboratively think about gaps and problems in understanding.