Abstract
Concern Worldwide and the University of Ulster Geophysics Research Group are engaged in a project to co-produce a suite of software and mapping tools to assess aftershock hazard in near real-time during the emergency response phase of earthquake disaster, and inform humanitarian emergency planning and response activities. This paper uses a social learning approach to evaluate this co-production process. Following Wenger (1999) we differentiate between the earthquake science and humanitarian communities of practice (CoP) along three dimensions: enterprise (the purpose of CoPs and the problems participants are working to address), repertoire (knowledge, skills, language), and identity (values and boundaries). We examine the effectiveness of learning between CoP, focusing on boundary work and objects, and various organisational structures and aspects of the wider political economy of learning that enable and hinder the co-production process. We conclude by identifying a number of ways to more effectively integrate earthquake science into humanitarian decision-making, policy development and programme design.
| Original language | English |
|---|---|
| Publication status | Published (in print/issue) - 12 Apr 2015 |
| Event | European Geosciences Union General Assembly: EGU - Vienna, Austria Duration: 12 Apr 2015 → 17 Apr 2015 https://www.egu2015.eu/ |
Conference
| Conference | European Geosciences Union General Assembly |
|---|---|
| Abbreviated title | EGU |
| Country/Territory | Austria |
| City | Vienna |
| Period | 12/04/15 → 17/04/15 |
| Internet address |
Keywords
- NGO
- Aftershock
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Dive into the research topics of 'Evaluating the co-production of a near real time Earthquake Aftershock forecasting tool for humanitarian risk assessment and emergency planning'. Together they form a unique fingerprint.Student theses
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Knowledge sharing for disaster risk reduction: the potential for collaborative learning between earthquake science and humanitarian NGO communities of practice
Quinn, K. (Author), Breen, C. (Supervisor) & Mc Dowell, S. (Supervisor), May 2017Student thesis: Doctoral Thesis
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