Cross-fertilizing local and scientific observation systems will benefit those living in the Arctic
|Access INTAROS' Community-based Monitoring Library|
Those living in the Arctic are priority stakeholders in terms of the outputs from INTAROS, but also key contributors of local observations to complement the scientific ones. The project works closely with two identified communities one based in Longyearbyen, Svalbard and the other in Disko Bay in Greenland in order to determine issues of primary interest to these communities. Topics of potential interest include climate change, natural hazards (e.g. avalanches, landslides, seismic events, extreme weather) and economic development (e.g. changes in ecosystems, new transportation routes and associated risks).
Through the initiative PISUNA, INTAROS has facilitated the interaction between citizens and science. The PISUNA project brings together fishermen, hunters and other members of the community who are interested in environmental issues, and involves them as observers, contributing their local knowledge towards solving environmental challenges. This, and similar initiatives, help to make research more relevant to the local community and also inform researchers with knowledge only available from those with an intimate connection to the region.
Throughout its duration, INTAROS will develop policy briefs containing pertinent, high quality and near real-time information and guidance to aid local, national and international decision-making. This will showcase ‘real-world’ examples of the benefits of cross-fertilizing indigenous and local observation systems with scientific observation systems. These policy briefs with proposed recommendations will be presented and discussed at a workshop with representatives of local communities, civil society organizations and government and academic researchers in each community. Moreover, the policy briefs will be presented to senior Arctic officials of the Arctic Council to promote innovative approaches that connect bottom-up and top-down observation systems for improved decision-making.