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Governing Arctic Seas: Regional Lessons from the Bering Strait and Barents Sea pp 269–291Cite as

Information Ecology to Map the Arctic Information Ecosystem

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Part of the book series: Informed Decisionmaking for Sustainability ((IDS))

Abstract

Effective governance requires the best available sources of data and information. The Arctic region, society, and research community is complex and operates at multiple scales. As a result, information about the Arctic exists and flows within a complex Arctic Information Ecosystem (AIE). The conceptual framework of Information Ecology can be used to document, understand, and possibly predict the nature and functioning of the AIE. Using a stepped approach, the Mapping the Arctic Data Ecosystem (MADE) project is using Linked Open Data representational models and tools to evaluate the utility of Information Ecology to support real world applications such as contributing to strategy development for the Sustained Arctic Observing Network (SAON) program and enhancing disaster resilience in the Arctic. The non-linear, Information Ecology framework more accurately reflects early views of the AIE and stands as an alternative to currently used, more linear rational-classical strategy development and systems analysis.

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Notes

  1. 1.

    Defined simply here as a set of interrelated and interdependent components that form a unified, but often complex whole. Components may include actors, relationships, parts, or other related entities.

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Acknowledgements

The authors greatly acknowledge the contribution two anonymous reviewers who made constructive and very useful comments on the first draft of this chapter. The engagement of the polar data community in the activities of the Arctic Data Committee and Pan-Arctic Options project is greatly appreciate. We recognize the valuable support of the National Science Foundation through awards 1650228 and 1719540. Brendan Billingsley and Billingsley Custom Software developed the Linked Open Data prototype.

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Authors and Affiliations

  1. National Snow and Ice Data Center (NSIDC),, University of Colorado, Boulder, CO, USA

    Peter L. Pulsifer

  2. Fletcher School of Law and Diplomacy, Tufts University, Medford, MA, USA

    Yekaterina Kontar & Paul Arthur Berkman

  3. Geomatics and Cartographic Research Centre, Carleton University, Ottawa, Canada

    D. R. Fraser Taylor

Authors
  1. Peter L. Pulsifer
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  2. Yekaterina Kontar
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  3. Paul Arthur Berkman
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  4. D. R. Fraser Taylor
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Corresponding author

Correspondence to Peter L. Pulsifer .

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Editors and Affiliations

  1. Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, USA

    Oran R. Young

  2. Science Diplomacy Center, Fletcher School of Law and Diplomacy Tufts University, Medford, MA, USA

    Paul Arthur Berkman

  3. Department of International Law, MGIMO University, Moscow, Russia

    Alexander N. Vylegzhanin

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Pulsifer, P.L., Kontar, Y., Berkman, P.A., Taylor, D.R.F. (2020). Information Ecology to Map the Arctic Information Ecosystem. In: Young, O., Berkman, P., Vylegzhanin, A. (eds) Governing Arctic Seas: Regional Lessons from the Bering Strait and Barents Sea. Informed Decisionmaking for Sustainability. Springer, Cham. https://doi.org/10.1007/978-3-030-25674-6_12

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  • DOI: https://doi.org/10.1007/978-3-030-25674-6_12

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