Alternative Data Sources for Impact-Based Forecasts and Warnings and Impact Modelling Risk Communication (2018)
Type of ContentConference Contributions - Other
- QuakeCORE: Posters 
Introduction Impact modelling and early warning systems play a key role in community resilience. Identifying the specific impacts of a hazard allows communities to adjust their behaviours and better prepare. Availability of, and access to, impact, vulnerability, and exposure data before, during, and after an event are key challenges to building impact-based forecasting and warning (IBFW) systems. To generate these data, collaboration and partnerships with various stakeholders are necessary; their role in the IBFW framework is demonstrated in Fig. 1. Volunteered geographic information (VGI) has become increasingly important in disaster risk reduction (DRR), primarily in the during and response phases . However, it has potential as a collaborative process for improving risk communication . Information and knowledge possessed by citizens can uncover “areas of importance or concern” that have yet to be identified in an official capacity [3, p. 40]. Furthermore, sharing information with and between citizens and officials fosters trust and social capital within communities, leading to increased resilience , .
RightsCC-BY 4.0 International
Showing items related by title, author, creator and subject.
Harrison, Sara; Potter, Sally; Prasanna, Raj; Hudson-Doyle, Emma; Johnston, David (2020)Understanding disaster risk is the first priority of the Sendai Framework for Disaster Risk Reduction for informed policy development and implementation. To achieve this countries and regions must promote the collection, ...
Algiriyage, Nilani; Prasanna, Raj; Stock, Kristin; Hudson-Doyle, Emma; Johnston, David (2020)Emergency response has to start within seconds of the onset of a disaster. However, getting a quick understanding of the situation as it unfolds is a challenging task for responding organisations due to time-consuming and ...
Identifying Research Gap and Opportunities in the use of Multimodal Deep Learning for Emergency Management Algiriyage, Nilani; Prasanna, Raj; Stock, Kristin; Hudson-Doyle, Emma; Johnston, David (2019)With the proliferation of smart mobile devices, people are now increasingly using social media applications during disasters to share updates, check on loved ones, or inform officials. Additionally, there are many other ...