Localizing Complex Scientific Communication: A SWOT Analysis and Multi-Sectoral Approach of Communicating Climate Change
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Date
2016
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Association for Computing Machinery
Abstract
This paper argues that a SWOT analysis (Dyson, 2004; Helms & Nixon, 2010; Holtzhausen & Zerfass, 2015; Houben, Lenie, & Vanhoof, 1999; Noble & Bestley, 2011) and a multi-sectorial approach (Okware, Opio, Musingizi, & Waibale, 2001; The World Bank, 2000; Uganda AIDS Commission & UNAIDS, 2000) to strategic communication can provide communication designers with a conceptual framework for localizing climate prediction and risk management information. The overarching idea is to use a multi-way communication model, such as suggested by McQuail (1987), to downscale climate data in a way that better addresses the communication expectations of the public in different locales. Such approaches can reduce barriers that often inhibit the international transfer of technical and scientific data for public consumption in different global contexts. To examine these issues, this paper uses a SWOT analysis for considering strategic communication planning in international settings. In so doing, the paper examines the work of the Intergovernmental Authority on Development (IGARD) Climate Predictions and Applications Centre (ICPAC) in its efforts to respond to climate extremes and ensure disaster risk management in the Greater Horn of Africa.
Description
This paper examines the work of the Intergovernmental Authority on Development (IGARD) Climate Predictions and Applications Centre (ICPAC) in its efforts to respond to climate extremes and ensure disaster risk management in the Greater Horn of Africa.
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Citation
Kiwanuka-Tondo, J., & Pettiway, K. M. (2017). Localizing complex scientific communication: a SWOT analysis and multi-sectoral approach of communicating climate change. Communication Design Quarterly Review, 4(4), 74-85.