2022 ArcticNet Annual Scientific Meeting (ASM2022)

Archambault, Philippe; Dawson, Jackie; Barnard, Christine; Baird, Erica; Demers, Christine; Lévesque, Claude; Lizotte, Martine; MacPherson, Julia; Reedman, Alexa; Ropars, Pascale

doi:10.1139/as-2023-0012

Cited by 2 publications

(1 citation statement)

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“…Co-development of posters and presentations can be a helpful scientific communication tool to summarise the story of the research in a way that is accessible and understandable to translate across scientific, cultural and political boundaries. Together, team members including the Community Liaison presented at the ArcticNet Annual Scientific Meeting (Archambault et al 2023). This not only provided the opportunity to present our research approach together, but provided experience of networking with other researchers, community members from across Inuit Nunangat and representatives of funding bodies.…”

Section: Generating Impact From Model Applicationmentioning

confidence: 98%

Ensuring continuity and impact in Arctic monitoring: a solution-orientated model for community-based environmental research

Mercer,

Whalen,

Pokiak

et al. 2023

Environ. Res.: Ecology

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Community-Based Monitoring (CBM) is increasingly cited as a means of collecting valuable baseline data that can contribute to our understanding of environmental change whilst supporting Indigenous governance and self-determination in research. However, current environmental CBM models have specific limitations that impact program effectiveness and the progression of research stages beyond data collection. Here, we highlight key aspects that limit the progression of Arctic CBM programs which include funding constraints, organisational structures, and operational processes. Exemplars from collaborative environmental research conducted in the acutely climate change impacted Hamlet of Tuktoyaktuk, Inuvialuit Settlement Region, Canada, are used to identify co-developed solutions to address these challenges. These learnings from experience-based collaborations feed into a new solution-orientated model of environmental Community-Based Research (CBR) that emphasises continuity between and community ownership in all research stages to enable a more complete research workflow. Clear recommendations are provided to develop a more coherent approach to achieving this model, which can be adapted to guide the development of successful environmental CBR programs in different research and place-based contexts.

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Section: Generating Impact From Model Applicationmentioning

confidence: 98%