Transforming Post-disaster Recovery: Participatory Mechanisms for Community Feedback and Responding to Government’s Real-time Data Needs with a Focus on Persons with Disability

Janki Andharia, Anupam Puri, Arya Namboothiripad
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Abstract

This article discusses possibilities of transforming the methods of conceiving policy research with a commitment to action, making the process more participatory, accountable and helping the most affected to be part of the decision-making process. It was carried out in the Indian state of Kerala post the devastating 2018 floods caused by unexpected and abnormal precipitation that resulted in severe flooding in 11 out of 14 districts in the state. For the first time, a community feedback mechanism was introduced in the country by the government, using their community structures, resulting in India’s first and largest post-disaster primary database with 19,646 responses. A significant aspect of the study is the inclusion of a large sample (n = 521) of persons with disability. As a methodological innovation, new and dedicated pathways were created for receiving community feedback including grievances from the most marginalised and vulnerable households and individuals. Instituting these within the government itself, to guide the recovery process, was a clear innovation. It suggests that it is possible for a government to listen to the vulnerable within communities and respond while building on their feedback as well as addressing their grievances, which need immediate redressal during disaster recovery.
转型灾后恢复:社区反馈和响应政府实时数据需求的参与机制,重点关注残疾人
本文讨论了将构思政策研究的方法转变为承诺采取行动的可能性,使这一过程更具参与性、更负责任,并帮助受影响最大的人参与决策过程。2018年,印度喀拉拉邦发生了由意外和异常降水引起的毁灭性洪灾,导致该邦14个地区中的11个地区发生严重洪灾。政府首次在该国引入了社区反馈机制,利用他们的社区结构,建立了印度第一个也是最大的灾后初级数据库,其中有19646个响应。该研究的一个重要方面是纳入了大量残疾人样本(n = 521)。作为一项方法创新,我们创建了新的专用途径来接收社区反馈,包括来自最边缘化和最脆弱的家庭和个人的不满。在政府内部建立这些机制来指导复苏过程,显然是一项创新。这表明,政府有可能听取社区内弱势群体的意见,并在他们的反馈的基础上做出回应,同时解决他们的不满,这些不满需要在灾难恢复期间立即得到解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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