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1. Disaster Privacy/Privacy Disaster

   https://doi.org/10.1002/asi.24353  

   Sanfilippo, M.; Shvartzshnaider, Y.; Reyes, I.; Nissenbaum, H.; Egelman, S. (January 2020, Journal of the Association for Information Science and Technology)

   null (Ed.)

   Privacy expectations during disasters differ significantly from nonemergency situations. This paper explores the actual privacy practices of popular disaster apps, highlighting location information flows. Our empirical study compares content analysis of privacy policies and government agency policies, structured by the contextual integrity framework, with static and dynamic app analysis documenting the personal data sent by 15 apps. We identify substantive gaps between regulation and guidance, privacy policies, and information flows, resulting from ambiguities and exploitation of exemptions. Results also indicate gaps between governance and practice, including the following: (a) Many apps ignore self-defined policies; (b) while some policies state they “might” access location data under certain conditions, those conditions are not met as 12 apps included in our study capture location immediately upon initial launch under default settings; and (c) not all third-party data recipients are identified in policy, including instances that violate expectations of trusted third parties. 

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2. Separated after a Disaster: Trust and Privacy Issues in Sharing Children's Personal Information

   Charney, R.; Rebmann, T.; Esposito, F.; Schmid, K.; Chung, S. (December 2018, Disaster medicine and public health preparedness)
3. Disaster reconnaissance framework for sustainable post-disaster materials management

   https://doi.org/10.1016/j.wasman.2023.07.010  

   Yeşiller, Nazli; Hanson, James L.; Wartman, Joseph; Turner, Benjamin; Gardiner, Andrea; Manheim, Derek C.; Choi, Juyeong (September 2023, Waste Management)

   A first foundational assessment is provided for disaster debris reconnaissance that includes identifying tools and techniques for reconnaissance activities, identifying challenges in field reconnaissance, and identifying and developing preliminary guidelines and standards based on advancements from a workshop held in 2022. In this workshop, reconnaissance activities were analyzed in twofold: in relation to post-disaster debris and waste materials and in relation to waste management infrastructure. A four-phase timeline was included to capture the full lifecycle of management activities ranging from collection to temporary storage to final management route: pre-disaster or pre-reconnaissance, post-disaster response (days/weeks), short-term recovery (weeks/months), and long-term recovery (months/years). For successful reconnaissance, objectives of field activities and data collection needs; data types and metrics; and measurement and determination methods need to be identified. A reconnaissance framework, represented using a 3x2x2x4 matrix, is proposed to incorporate data attributes (tools, challenges, guides), reconnaissance attributes (debris, infrastructure; factors, actions), and time attributes (pre-event, response, short-term, long-term). This framework supports field reconnaissance missions and protocols that are longitudinally based and focused on post-disaster waste material and infrastructure metrics that advance sustainable materials management practices. To properly frame and develop effective reconnaissance activities, actions for all data attributes (tools, challenges, guides) are proposed to integrate sustainability and resilience considerations. While existing metrics, tools, methods, standards, and protocols can be adapted for sustainable post-disaster materials management reconnaissance, development of new approaches are needed for addressing unique aspects of disaster debris management. 

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4. DisFact: Fact-Checking Disaster Claims

   https://doi.org/10.1007/978-981-96-0576-7_31  

   Adesokan, Ademola; Hu, Haiwei; Madria, Sanjay (November 2024, Springer Nature Singapore)
5. DisFact: Fact-Checking Disaster Claims

   Adesokan, Ademola; Hu, Haiwei Hu; Madria, Sanjay (December 2024, Springer)