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How can research partnerships better support local development? Stakeholder perceptions on an approach to understanding research partnership outcomes in the Canadian Arctic

Published online by Cambridge University Press:  04 September 2017

Nicolas D. Brunet
Affiliation:
School of Environmental Design and Rural Development, University of Guelph, 50 Stone Rd East, Guelph, Ontario, Canada, N1G 2W1 ([email protected])
Gordon M. Hickey
Affiliation:
Department of Natural Resource Sciences, McGill University, 21111 Lakeshore Road, Ste. Anne de Bellevue, QC, Canada, H9X 3V9
Murray M. Humphries
Affiliation:
Centre for Indigenous Peoples’ Nutrition and Environment, McGill University, 21111 Lakeshore Road, Ste. Anne de Bellevue, QC, Canada, H9X 3V9

Abstract

Understanding the benefits and outcomes of Canada's public investment in Arctic science and associated community–researcher partnerships represents a significant challenge for government. This paper presents a capital assets-based approach to conceptualising northern research partnership development processes and assessing the potential outcomes. By more explicitly considering the pre- and post-partnership asset levels (that is, social, human, physical, financial and natural assets) for different collaborators, the potential benefits and challenges associated with community–researcher partnerships can be collaboratively assessed. In order to help refine this approach, we conducted a survey of those involved in developing and maintaining community–researcher partnerships across Arctic Canada. Results indicate that the proposed approach could be useful for research funding agencies seeking to better understand partnership outcomes and promote more effective community–researcher interactions. Challenges include adequately capturing the qualitative nature of different capital assets, pointing to future research and policy needs. Better understanding the role of research in northern development has the potential to improve northern research, policy and practice.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2017 

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