207
Views
0
CrossRef citations to date
0
Altmetric
Articles

A systemist depiction of Canadian disaster risk reduction research and approaches

, &

References

  • Ahrens, J., & Rudolph, P. M. (2006). The importance of governance in risk reduction and disaster management. Journal of Contingencies and Crisis Management, 14(4), 207–220.
  • Haque, C. E., & Etkin, D. (2012). Dealing with disaster risk and vulnerability: People, community and resilience perspectives. In C. E. Haque & D. Etkin (Eds.), Disaster risk and vulnerability: Mitigation through mobilizing communities and partnerships (pp. 3–23). Montreal: McGill-Queens University Press.
  • Helsloot, I., Boin, A., Jacobs, B., & Comfort, L. K. (Eds.). (2012). Mega-crises: Understanding the prospects, nature, characteristics and the effects of cataclysmic events. Springfield: Charles C Thomas Publisher.
  • James, P. (2019). Systemist international relations. International Studies Quarterly, 63(4), 781–804. doi:10.1093/ISQ/SQZ086
  • Krämer, S., & Ljungberg, C. (2016). Thinking and diagrams – An introduction. In S. Krämer & C. Ljungberg (Eds.), Thinking with diagrams : The semiotic basis of human cognition (pp. 1–20). Berlin/Boston: De Gruyter Mouton.
  • Public Safety Canada. (2018). Canada’s platform for disaster risk reduction. https://www.publicsafety.gc.ca/cnt/mrgnc-mngmnt/dsstr-prvntn-mtgtn/pltfrm-dsstr-rsk-rdctn/index-en.aspx.
  • Richard Eiser, J., Bostrom, A., Burton, I., Johnston, D. M., McClure, J., Paton, D., … White, M. P. (2012). Risk interpretation and action: A conceptual framework for responses to natural hazards. International Journal of Disaster Risk Reduction, 1(1), 5–16. Elsevier. doi:10.1016/j.ijdrr.2012.05.002.
  • Warner, R. (2013). Resilience or relief: Canada’s response to global disasters. Canadian Foreign Policy Journal, 19(2), 223–235. doi:10.1080/11926422.2013.773541
  • Warner, R. (2019). Governance for resilience: Canada and global disaster risk reduction. Canadian Foreign Policy Journal, 26(3), 1–15.
  • Wickham, H. (2014). How is data science different to mainstream statistics? Communication and visualization are key features of analysis. Impact of Social Sciences. LSE Impact Blog. https://blogs.lse.ac.uk/impactofsocialsciences/2014/09/23/data-science-statistics-communication/.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.