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CBONS

Community Based Observer Networks for Situational Awareness

Established

2015

Summary

This project established a community-based observing network and system (CBONS) to acquire fine scale, local data on a range of variables critical to USCG operations. It was developed to enhance the Coast Guard’s ability to successfully respond to Arctic-related Incidents of National Significance (Arctic IoNS). Variables were associated with environmental change, subsistence activities/habitats and vessel transits. CBONS data was then used to enhance the preparedness of communities on the ground, leading to increased effectiveness of USCG in the Arctic and reduced long-term costs. The project also generated community maps consisting of areas critical to culture and subsistence, allowing the Coast Guard to operate in ways that protect livelihoods and traditional lifeways. Finally, CBONS data are potentially useful to enhance the precision of data from other Arctic Observing Networks (AON) by placing them in situational contexts.

CBONS Vignette Graphic Background

Abstract

This project will establish a community-based observing network and system (CBONS) to acquire fine scale, local data on a range of variables critical to USCG operations (Savo et al. 2016, Alessa et al. 2015). Variables will include those associated with environmental change, subsistence activities/habitats and vessel transits. A systematic and quality assured CBONS will enhance the Coast Guard’s ability to successfully respond to Arctic-related Incidents of National Significance (Arctic IoNS). CBONS data may be used to enhance the preparedness of communities on the ground which can greatly increase the effectiveness of USCG in the Arctic while potentially reducing costs in the long term. The data will also generate community maps consisting of areas critical to culture and subsistence which will allow the Coast Guard to operate in ways that protect livelihoods and traditional lifeways. The data will eventually be transmitted via the Arctic Information Fusion Capability (AIFC) in order to promote safer SAR/HA/DR operations. Finally, the data may be used to enhance the precision of data from other Arctic Observing Networks (AON) by placing them in their social contexts.

Gallery

Researchers

Portrait of 		Lilian
			 		Na’ia Alessa
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CBONS

Dr. Lilian Na’ia Alessa

Principal Investigator



alessa@uidaho.edu

Portrait of 		Andrew 
			 		Kliskey
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CBONS

Dr. Andrew Kliskey

Support Team



akliskey@uidaho.edu

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