Massey Documents by Type

This dissertation explored the role of the mosque, a community-based religious institution, in disaster management by documenting and analysing its role in rural settings in the aftermath of the 2005 earthquake in Pakistan. The role of community-based religious institutions has been largely undocumented, underestimated and overshadowed in the development and disaster studies literature. This research was informed by post-development theory. The study addressed two research questions. The first examined the role of the mosque in relation to key actors from the state, civil society and private sector during response, relief, recovery, reconstruction and rehabilitation in the aftermath of the 2005 earthquake. The second explored the potential roles of the mosque in similar situations in the future. Using qualitative research methods and a case study design (in three villages of Mansehra district, Khyber Pakhtunkhwa province), this dissertation analyses primary data collected throughout five months of fieldwork (in 2009 and 2010). Socially and culturally, the mosque served as an entry door, facilitating access to communities for private, government, local, national and international organisations during the earthquake response, relief, recovery, reconstruction and rehabilitation phases. The mosque building was destroyed but the institution of the mosque remained intact. It continued to function, as men in the surviving community gathered to pray on the rubble or in the open, and served as the collection point of the community. Women did not benefit from the mosque, as a physical place, because of the social, cultural and religious limitations in communities. However, the mosque‘s institutional support was critical for the engagement of women in other culturally and socially appropriate development and disaster risk reduction activities. Religious interpretations of the earthquake lead communities to turn to God, increasing meditation and prayer, fostering psychosocial and spiritual healing and creating resilience. Conversely, however, religious interpretations of the earthquake also promoted fatalistic tendencies, which negatively affected communities‘ attentiveness to some of the disaster risk reduction measures advised by the government. Economically, the affected communities exchanged livelihood-related information and coordinated their income generating activities using the institution of the mosque. In the political context, the study questions simplistic pejorative labels attached to the mosque such as it being a centre for preaching radical views in society and argues that such labels belittle and fail to recognise the distinct position of the mosque as a central community institution. This research suggests that state, civil society and private sector actors and organisations involved in disaster management need to understand the complex relationships involving people and their religious institutions, and their impact on the social environment. This study calls for engagement: acknowledging and valuing the role of community-based religious institutions including churches, mosques, synagogues and temples in building a synergy between secular and religious efforts for disaster risk reduction. This dissertation contributes to the scarce body of knowledge about the multi-faceted and potential role of a community-based religious institution, the mosque, which could be used to strengthen disaster management to save human lives and reduce the extent of losses from natural hazards in the future.

Mechanisms for sharing information in a disaster situation have drastically changed due to new technological innovations throughout the world. The use of social media applications and collaborative technologies for information sharing have become increasingly popular. With these advancements, the amount of data collected increases daily in different modalities, such as text, audio, video, and images. However, to date, practical Disaster Response (DR) activities are mostly depended on textual information, such as situation reports and email content, and the benefit of other media is often not realised. Deep Learning (DL) algorithms have recently demonstrated promising results in extracting knowledge from multiple modalities of data, but the use of DL approaches for DR tasks has thus far mostly been pursued in an academic context. This paper conducts a systematic review of 83 articles to identify the successes, current and future challenges, and opportunities in using DL for DR tasks. Our analysis is centred around the components of learning, a set of aspects that govern the application of Machine learning (ML) for a given problem domain. A flowchart and guidance for future research are developed as an outcome of the analysis to ensure the benefits of DL for DR activities are utilized.

Massey Documents by Type

Browse

Filters

Settings

Sort By

Results per page

Search Results