
Designing transdisciplinary projects for collaborative policy-making: TheIntegration and Implementation Sciencesframework as a tool for reflection
Author(s) -
Melissa Robson-Williams,
Bruce Small,
Roger Robson-Williams
Publication year - 2020
Publication title -
gaia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.563
H-Index - 28
eISSN - 2625-5413
pISSN - 0940-5550
DOI - 10.14512/gaia.29.3.7
Subject(s) - honour , context (archaeology) , project team , narrative , sociology , knowledge management , political science , computer science , geography , linguistics , philosophy , archaeology , law
Collaborative policy-making has increased in New Zealand, and with it has brought new demands for supporting research. As a tool for reflection of projects where both research and societal outcomes of policy and practice change are pursued and multiple knowledges are recognised, we use the Integration and Implementation Sciences framework. We present insights for the design and implementation of transdisciplinary research from the Selwyn Waihora Project , which aimed to produce socially robust information to support land and water policy-making in New Zealand’s South Island.The Selwyn Waihora Project was a research project supporting a collaborative policy-making process to set environmental limits in the Selwyn Waihora catchment in New Zealand’s South Island. In this Design Report we reflect on this project based on data collected from a range of project participants approximately two years after project completion. The data collection was guided by the Integration and Implementation Sciences framework (i2S) . On the basis of participant responses, and the authors’ first-hand experiences working on the project, we present insights for transdisciplinary research. Through the questions asked by the i2S framework insights emerged on: what it means to honour community values; the importance of context but that projects can pay too much attention to it; boundary objects to foster integration across multiple knowledge systems; the value of intra-team narratives for translation; the importance of considering the losers of the research; and sharing the burden of uncertainty.