Arnis Parsovs. (2020). Solving the Estonian ID Card Crisis: the Legal Issues. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 459–471). Blacksburg, VA (USA): Virginia Tech.
Abstract: In 2017, Estonia experienced a cyber crisis caused by a vulnerability found in the smart card chips produced by Infineon Technologies AG. Since the affected chip was used in the electronic identity card (ID card) issued by the State to more than half of the Estonian population, the vulnerability posed a risk to the resilience of Estonian e-state and thus quickly escalated into a manageable crisis. This work studies to what extent, in such a national emergency, the involved parties were able to precisely follow the applicable laws and regulations in the field. We enlist the cases where the requirements were not fully followed, either due to the lack of technical preparedness, suboptimal decisions made under heavy time pressure, or the critical nature of the situation.
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Gah-Kai Leung. (2021). Reducing Flood Risks for Young People in the UK Housing Market. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 481–487). Blacksburg, VA (USA): Virginia Tech.
Abstract: Flooding is one of the most serious natural hazards faced in the UK. The Environment Agency estimates that in England alone, about 5.2 million properties are at risk of flooding, or roughly one in six (2009: 3). Flooding imposes significant financial, psychological and social burdens on households and these may be especially acute for young people in the property market, such as renters and first-time buyers. This paper examines how housing-related policy can help alleviate the burdens of flooding on young people in the housing market. First, it canvasses the kinds of damage inflicted when flooding affects properties. Second, it discusses the financial burdens imposed by such damage. Third, it enumerates the financial burdens and benefits of measures to protect against flooding. Fourth, it considers the non-monetary burdens of flooding, in the form of psychological and social burdens. Finally, the paper offers some policy recommendations in light of the preceding discussion.
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Louis Ngamassi, Thiagarajan Ramakrishnan, & Shahedur Rahman. (2020). Investigating the Use of Social Media by Underserved Communities for Disaster Management. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 490–496). Blacksburg, VA (USA): Virginia Tech.
Abstract: Social media is emerging as a communication tool for successfully managing disasters. However, studies have shown that not all individuals are equally predisposed towards effectively using social media for disaster management. There still exists a big digital divide when it comes to using social media for disaster management. Drawing on situational theory of problem solving, we develop a conceptual model that examines the motivating factors for the underserved communities to use social media for disaster management. We further develop and cross-validate a questionnaire instrument to acilitate empirical research. We thus offer an empirical context for motivating individuals from underserved communities to use social media effectively during disasters.
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Jorge Vargas-Florez, Luiggi Bellido-Barturen, Lileya Latorre-Solórzano, Víctor Ochoa-Guzmán, Luis E. López-Vargas, Alejandro Herrera-Vila, et al. (2021). Food Supply Using E-Commerce on Pandemic Times: New Habits. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 472–480). Blacksburg, VA (USA): Virginia Tech.
Abstract: Due to Covid-19, many of the traditional food chains did not able to fulfill their customers due to the sanitary measures: quarantines, border lockdowns, capacity facilities reduction, etc. This situation generated increased use of alternative means such as delivery service, online stores, and traveling fairs. The latter is part of the short food supply chains, SFSC, which at the beginning of the pandemic was used to respond to the shortage of products and crowded markets. This work tackles new food supply habits by consumers in Lima, the capital of Perú, and the e-commerce role. Before the pandemic, SFSC exists mainly in rural zones, now it has a 16% preference, and e-commerce increased its utilization by 13,84 times, mainly by A/ B /C socio-economical young population. The most valuable characteristics recognized are the use of protocols to prevent the spread of viruses, quality products, and delivery speed.
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Lixiong Chen, Monika Buscher, & Yang Hu. (2020). Crowding Out the Crowd:The Transformation of Network Disaster Communication Patterns on Weibo. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 472–489). Blacksburg, VA (USA): Virginia Tech.
Abstract: There is a surge in people turning to social media in disasters in China. In the 2010 Yushu earthquake, 5,979 Weibos were posted. Almost 10 years on, in the 2019 Yibin earthquake it was 17,495. This study presents a Social Network Analysis of the dynamics of this growth, taking the six major Chinese earthquakes of this decade as a case study. By constructing relationship matrices, the research reveals a transformation of networked crisis communication patterns on Weibo. We show how communication relationships between verified organisational users, government agencies, verified individual users (such as celebrities) and unverified ordinary users have changed, and we observe that government agencies are 'crowding out the crowd' of other users. We consider key aspects and the ethical complexities of this phenomenon.
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Bennett Gayle, D. M., Yuan, X.(J.), Dadson, Y. A., & Edwards, N. K. (2023). Contact Tracing Mobile Applications in New York: A Qualitative Study on the Use and Privacy Perceptions. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 620–635). Omaha, USA: University of Nebraska at Omaha.
Abstract: Contact tracing mobile applications were used in several countries as the exclusive means of reducing the spread of the COVID-19 virus. In the United States (US), such mobile applications were not nationwide; several states adopted and developed mobile applications for use by the local citizenry. Previous research indicated that the use and adoption of such applications might be correlated to individual demographics. Using the Antecedent Privacy Concerns and Outcomes (APCO), this study assesses individuals' use, adoption, and privacy considerations when using the contact tracing mobile application in New York State. Focus group participants were interviewed to determine if age or race/ethnicity were confounding factors related to their use of these mobile applications. This qualitative study will contribute to the body of knowledge by operationalizing and expanding on the APCO model to further understand the service, privacy, and perception of mobile apps used during COVID-19.
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Carole Adam, & Cédric Lauradoux. (2022). A Serious Game for Debating about the Use of Artificial Intelligence during the COVID-19 Pandemic. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 554–563). Tarbes, France.
Abstract: Crises always impose a difficult compromise between safety and liberty, and the COVID-19 pandemic is no different. Governments have enforced various sanitary restrictions to reduce virus spread. With the help of Artificial Intelligence (AI), the scale of surveillance has risen to unprecedented levels. However, these technologies entail many risks, from potential errors or biases, to their extended enforcement beyond the duration of the initial crisis. Citizens should be aware that these technologies are not infallible, and measure the consequences of errors, so as to make informed decisions about what they want to accept, and for how long. To this aim, we have designed a serious game in the form of a municipal debate between citizens of a virtual town. Some first test sessions helped us improve the game design, and provided proof of the interest of this game to trigger debates and raise awareness.
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