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Aarland, M. (2023). Digital Supply Chain Cyber Risks in the Power Industry: A resilience framework. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (p. 1080). Omaha, USA: University of Nebraska at Omaha.
Abstract: The goal of this industrial PhD is to investigate how to include resilience into a cyber-security strategy to safeguard vital infrastructure. Critical infrastructure is increasingly susceptible since businesses are using technology more often. These infrastructures are also components of a vast, integrated, and increasing digital supply chain that transcends national boundaries, adding to the difficulties. A bigger attack surface where an attacker might use vulnerabilities contained in suppliers' and sub suppliers' chains could come from this extension of the digital supply chain. The study will add to our understanding of how to manage intricate supply chains in critical infrastructure with stringent dependability requirements. The digitalization processes in the supply chain include changes to the organizational structure, necessitating a robust strategy for continual improvement. The research question for this project is as follows: How can a resilience framework contribute to managing the complex digital supply chain for stakeholders in the power industry? The system dynamic (SD) approach will be used to generate a simulation based on the findings from each of the methods. Previous supply chain research has demonstrated that SD modelling is an effective strategy for building resilience in supply networks. To comprehend and examine the behavior of dynamic and complex systems, the notion of SD was established. The theory of system dynamics is based on the idea that actions done in systems will change the system, which will then lead to new actions. To collect primary data the qualitative method chosen as most suitable the semi-structured interview. To understand a social phenomenon, one needs to listen to people who reflect on their own experiences, knowledge, and motivation. Through interviews, it is possible to go into depth on the phenomenon and gather complex and rich data that is not available through literature review only. Contributions from this Ph.D. study are grouped into two categories: academia and organization. Further understanding regarding supply chain vulnerability and the implementation of potential techniques and ideas in novel contexts are academic contributions. The development of the resilience framework, which aims to address the difficult problem of managing stakeholders in the digital supply chain, is a contribution made by the organizations. The goal for CIs is to have resilient DSCs that can withstand and improve from high-pressure situations. Improving DSC resilience requires an understanding of the supply chain network that includes suppliers’ and their sub-suppliers’ incentives, all the way to its downstream customers’ incentives. By understanding the structure of the system, the ability to ascertain the behavior of the system increases, providing opportunities to better manage the system. If we can harness the positive incentives for collaboration and social connection the road to a more resilient CI that is available when the society require it becomes easier.
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Aarland, M., Radianti, J., & Gjøsæter, T. (2023). Using System Dynamics to Simulate Trust in Digital Supply Chains. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 516–529). Omaha, USA: University of Nebraska at Omaha.
Abstract: The power industry is outsourcing and digitalising their services to provide better, faster, and more reliable supply of electric power to the society. As a result, critical infrastructure increases in complexity and tight couplings between multiple suppliers and systems in digital supply chains. It also introduces new risks and challenges that are difficult to manage for critical infrastructure owners. To address the vulnerability in digital supply chains, we have developed a system dynamics model that represent important challenges to manage cybersecurity in digital supply chains, based on input from an expert group in the power industry. The system dynamics model illustrates how trust in suppliers as well as the need for control play important roles in outsourcing. Scenarios were developed and simulated.
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Abdelgawad, A. A. (2023). An Updated System Dynamics Model for Analysing the Cascading Effects of Critical Infrastructure Failures. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 595–608). Omaha, USA: University of Nebraska at Omaha.
Abstract: Aiming at examining the cascading effects of the failure of Critical Infrastructure (CI), this work-in-progress research introduces an improved System Dynamics model. We represent an improvement over the previous models aimed at studying CIs interdependencies and their cascading effects. Our model builds on earlier models and corrects their flaws. In addition to introducing structural enhancements, the improvements include using unpublished data, a fresh look at a previously collected dataset and employing a new data processing to address and resolve some longstanding issues. The dataset was fed to an optimisation model to produce a new dataset used in our model. The structure of our SD model, its dataset and the data processing techniques we employed to create this dataset are all described in the study. Although the model has passed the fundamental validation criteria, more validation testing and scenario exploration are yet to be conducted.
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Abhish Khanal, Deepak Chand, Prakash Chaudhary, Subash Timilsina, Sanjeeb Prasad Panday, Aman Shakya, et al. (2020). Search Disaster Victims using Sound Source Localization. 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. 1022–1030). Blacksburg, VA (USA): Virginia Tech.
Abstract: Sound Source Localization (SSL) are used to estimate the position of sound sources. Various methods have been used for detecting sound and its localization. This paper presents a system for stationary sound source localization by cubical microphone array consisting of eight microphones placed on four vertical adjacent faces which is mounted on three wheel omni-directional drive for the inspection and monitoring of the disaster victims in disaster areas. The proposed method localizes sound source on a 3D space by grid search method using Generalized Cross Correlation Phase Transform (GCC-PHAT) which is robust when operating in real life scenario where there is lack of visibility. The computed azimuth and elevation angle of victimized human voice are fed to embedded omni-directional drive system which navigates the vehicle automatically towards the stationary sound source.
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Abildsnes, E., Paulsen, S., & Gonzalez, J. J. (2023). Improving resilience against a pandemic: A novel technology for strategy development with practitioners and decision-makers. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 964–974). Omaha, USA: University of Nebraska at Omaha.
Abstract: The project Systemic Pandemic Risk Management (SPRM), funded by the Research Council of Norway, has developed methods to assess and manage pandemic systemic risks. The project consortium includes an enterprise leading the project, public partners and research institutions in Norway, Sweden, and Italy. Kristiansand municipality, a partner in the SPRM project, adopted the project methods to assess and manage systemic risks. Based on a scenario about the potential spread patterns of the COVID-19 Omicron variant developed by the Norwegian Institute of Public Health, staff from Kristiansand employed the SPRM project’s approach to facilitate systemic risk assessment and management workshops. Practitioners and decision-makers from the main hospital in the Agder county and several municipalities proposed risks, their causal consequences and identified practical and impactful mitigation strategies. The strategies were implemented at the county level. The approach can improve handling of systemic risk scenarios beyond pandemics.
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Aditya Irfansyah, Adam Widera, Mark Haselkorn, & Bernd Hellingrath. (2020). Current Trends and Future Challenges in Congestion 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. 622–636). Blacksburg, VA (USA): Virginia Tech.
Abstract: Traffic congestion creates multidimensional impacts that require stakeholders' integration and coordination. This paper tries to close the research gaps in congestion management by examining a case study of integrated solutions of congestion measures and analyzing future challenges in congestion management based on two selected factors. The authors develop the result from the literature study and an expert interview that provides a better perspective on the case study. The study generates a new perspective on reviewing the organizational aspect of integrated congestion management measures. Secondly, it starts a discussion on future challenges in congestion management and connects the domain of future mobility with congestion theories as an independent discussion.
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Adrot, A., & Aguerre, M. (2023). The Impact of conflicts on Data Sharing for Disaster Risk Reduction. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 43–53). Omaha, USA: University of Nebraska at Omaha.
Abstract: Cross-border regions are particularly exposed to hazards and require cooperation for Disaster Risk Reduction (DRR). Accordingly, multiple countries have been investing in technology and jointly innovate to share and process data against disasters. However, these countries’ capacity to share data depends on the history and the context of the border itself. Going further, conflicts between countries – may they be past, present or future – can radically question and endanger collaborative efforts to share data for DRR. This collaborative research, involving a cohort of master students and an NGO, explores the influence of conflicts on data sharing and cooperation for DRR. Still in progress, this research examines how conflicts affect data sharing and how DRR actors manage them. It is based on exploratory archive analysis of three distinct cases of cross-border DRR collaboration within the EU borders, as well as experts and actors interviewing. Preliminary findings reveal that conflicts affect DRR at three levels: i) actors, ii) interactions with DRR actors, iii) relations between local DRR actors and institutions. The expected contribution of this research is theoretical, practical and pedagogical.
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Ahmed Al-Sadi, Thelma Moses, & Saed Altawabeyeh. (2023). iAWHINA: Towards Designing an Offline Disaster Mobile Application. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 103–110). Palmerston North, New Zealand: Massey Unversity.
Abstract: The aim of this paper is to present the design stages of a built-for-purpose disaster response mobile application called iAwhina. The authors propose to design iAwhina as an interactive user-friendly offline mobile application that provides flawless user experience to support and aid in emergency response situations. The prototype works in both online and offline modes, using ad hoc network technology. The design process followed during the development of the user interface is based on a set of usability criteria that are presented in this paper. A systematic literature review on the usability criteria for disaster mobile applications and discussions with industry experts helped to finalize the user interface elements that will enhance the usability of the application. The relevant features that will be included in the application were drawn from literature. A discussion on how the design process plays a critical role in designing disaster mobile applications is also presented.
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Ahmed Alnuhayt, Suvodeep Mazumdar, Vitaveska Lanfranchi, & Frank Hopfgartner. (2022). Understanding Reactions to Misinformation – A Covid-19 Perspective. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 687–700). Tarbes, France.
Abstract: The increasing use of social media as an information source brings further challenges – social media platforms can be an excellent medium for disseminating public awareness and critical information, that can be shared across large populations. However, misinformation in social media can have immense implications on public health, risking the effectiveness of health interventions as well as lives. This has been particularly true in the case of COVID-19 pandemic, with a range of misinformation, conspiracy theories and propaganda being spread across social channels. In our study, through a questionnaire survey, we set out to understand how members of the public interact with different sources when looking for information on COVID-19. We explored how participants react when they encounter information they believe to be misinformation. Through a set of three behaviour tasks, synthetic misinformation posts were provided to the participants who chose how they would react to them. In this work in progress study, we present initial findings and insights into our analysis of the data collected. We highlight what are the most common reactions to misinformation and also how these reactions are different based on the type of misinformation.
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Ahmed Laatabi, Benoit Gaudou, Chihab Hanachi, Patricia Stolf, & Sébastien Truptil. (2022). Coupling Agent-based Simulation with Optimization to Enhance Population Sheltering. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 116–132). Tarbes, France.
Abstract: Population sheltering is a recurrent problem in crisis management that requires addressing two aspects: evacuating vulnerable people using emergency vehicles and regulating movements of pedestrians and individual vehicles towards shelters. While these aspects have received considerable attention in modeling and simulation literature, very few approaches consider them simultaneously. In this paper, we argue that Agent-Based Modeling and Simulation (ABMS) and Optimization are two complementary approaches that can address the problem of sheltering globally and efficiently and be the basis of coherent frameworks for decision- and policy-making. Optimization can build efficient sheltering plans, and ABMS can explore what-if scenarios and use geospatial data to display results within a realistic environment. To illustrate the benefits of a framework based on this coupling approach, we simulate actual flash flood scenarios using real-world data from the city of Trèbes in South France. Local authorities may use the developed tools to plan and decide on sheltering strategies, notably, when and how to evacuate depending on available time and resources.
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Aidan Hamilton, & Cécile L’Hermitte. (2023). Supply Chain Resilience in the New Zealand FMCG Sector: A Study of the 2021 Canterbury Flooding. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 204–214). Palmerston North, New Zealand: Massey Unversity.
Abstract: Disasters can severely disrupt the flow of Fast-Moving Consumer Goods (FMCGs) in New Zealand (NZ), preventing the replenishment of essential products and causing shortages on retailers’ shelves. This paper presents work-in-process research that aims to better understand how the NZ FMCG retailers build resilience into their replenishment operations to mitigate disruptions in the wake of a disaster. The two key components of supply chain resilience (redundancy and flexibility) are investigated in the context of the 2021 Canterbury flooding. A survey was used to collect data on retailers’ routine replenishment operations, the impacts of the flooding, and practices mitigating disruptions. The preliminary findings suggest that redundant inventory is used to compensate for insufficient flexibility in the NZ freight system (due to not only the lack of adequate secondary roads and alternative modes of transport, but also the centralised distribution system limiting the sources of supply). This study contributes a better understanding of the FMCG distribution and replenishment operations in NZ and highlights the need for public and private investments (e.g. redundant transport infrastructure and distribution facilities). Additional research investigating the most influential investments to improve the ability of the FMCG sector to manage post-disaster freight disruptions would benefit the literature.
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Aïdin Sumic, Emna Amdouni, Thierry Vidal, & Hedi Karray. (2022). Towards Flexibility Sharing in Multi-agent Dynamic Planning: The Case of the Health Crisis. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 274–284). Tarbes, France.
Abstract: Planning problems in a crisis context are a highly uncertain environment where health facilities must cooperate in providing health services to their patients. We focus on the health crisis in France due to the COVID19 pandemic. In fact, the lack of appropriate scheduling tools, resources, and communication leads hospitals to be submerged by infected patients and forced to transfer them to other hospitals. In this work we aim to provide a global solution to such planning problems to improve the current French health system. We introduce a cooperative approach called OPPIC (Operational Planning Platform for Inter-healthcare Coordination). OPPIC is based on a decentralized system, where health facilities plan is dynamic, flexible, robust to uncertainty, and respond to goals and optimization criteria. This paper proposed a first planning model to OPPIC and provided a first way of negotiation between health facilities based on their plan’s local and global flexibility.
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Aikaterini Christodoulou, John Lioumbas, Kostantinos Zambetoglou, & Nikoletta Xanthopoulou. (2021). Combined innovative technologies for ensuring water safety in utilities: The city of Thessaloniki case study. 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. 929–934). Blacksburg, VA (USA): Virginia Tech.
Abstract: Innovative technologies such as monitoring the quality of surface water aquifers with satellite images, applying UAV (Unmanned Aerial Vehicle) and drone technology for a variety of operations, water quality measurements with improved techniques along with IoT (Internet of Things) and ICT (Information and Communication Technologies), can provide sufficient data for enhancing water safety in urban water utilities. Specifically, these data could be an effective tool for improving risk assessment process and management of water supply systems. Nevertheless, till now, there is a relative lack of published works that validate the efficiency of combing these technologies on water safety processes by incorporating most of them with a systematic way and during real working conditions in water utilities. This work aims to present the preliminary design concept of a platform that embraces innovating water safety technologies planned to be applied to Thessaloniki's Water Supply and Sewerage Co. S.A Standard Operating Procedures (SOP).
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Alessandro Farasin, Luca Colomba, Giulio Palomba, & Giovanni Nini. (2020). Supervised Burned Areas Delineation by Means of Sentinel-2 Imagery and Convolutional Neural Networks. 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. 1060–1071). Blacksburg, VA (USA): Virginia Tech.
Abstract: Wildfire events are increasingly threatening our lands, cities, and lives. To contrast this phenomenon and to limit its damages, governments around the globe are trying to find proper counter-measures, identifying prevention and monitoring as two key factors to reduce wildfires impact worldwide. In this work, we propose two deep convolutional neural networks to automatically detect and delineate burned areas from satellite acquisitions, assessing their performances at scale using validated maps of burned areas of historical wildfires. We demonstrate that the proposed networks substantially improve the burned area delineation accuracy over conventional methods.
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Alexander Gabriel, Babette Tecklenburg, & Frank Sill Torres. (2022). Threat and Risk Scenarios for Offshore Wind Farms and an Approach to their Assessment. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 162–173). Tarbes, France.
Abstract: Offshore wind farms in the German North and Baltic Seas have a key role to play in the context of the shift towards renewable energy and in securing electricity supplies in the future. At the same time, however, shipping routes in the North and Baltic Seas are among the busiest in the world, wind farms are increasingly being operated unmanned and conflicts increasingly involve a hybrid element. From these constellations and competing interests, various risk and threat scenarios emerge. By means of a survey among experts from offshore wind industry, this paper first captures the subjective assessment of the risk situation in order to subsequently develop an approach for their evaluation. The paper uses Bayesian networks in order to enable a risk assessment also under inclusion of uncertain parameters.
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Alexander Gabriel, Babette Tecklenburg, Yann Guillouet, & Frank Sill Torres. (2021). Threat analysis of offshore wind farms by Bayesian networks – a new modeling approach. 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. 174–185). Blacksburg, VA (USA): Virginia Tech.
Abstract: As a result of the ongoing commitment to climate protection in more and more countries and the corresponding expansion of renewable energies, the importance of renewables for the security of electricity supply is also increasing. Wind energy generated in offshore wind farms already accounts for a significant share of the energy mix and will continue to grow in the future. Therefore, approaches and models for security assessment and protection against threats are also needed for these infrastructures. Due to the special characteristics and geographical location of offshore wind farms, they are confronted with particular challenges. In this context, this contribution outlines how an approach for threat analysis of offshore wind farms is to be developed within the framework of the new research project “ARROWS” of the German Aerospace Center. The authors first explain the structure of offshore wind farms and then present a possible modeling approach using Qualitative function models and Bayesian networks.
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Alexander Gabriel, Florian Klein, & Frank Fiedrich. (2020). Modelling of Passenger Handling Processes in Railway Stations – A Mixed-Methods Approach. 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. 580–592). Blacksburg, VA (USA): Virginia Tech.
Abstract: The constantly increasing number of passengers using public transportation leads to an expansion of the ser-vices offered by public transportation companies. The existing transportation infrastructures, especially rail-way stations, can only partly cope with this rapid growth. There is already overcrowding on platforms and access routes, especially during disruptions caused by natural disasters or major public events. This crowding may result in personal injury or shutdown of operations for safety reasons. The research project CroMa aims at improving robustness, safety, security and performance of railway stations at peak loads. The paper contributes thereto by developing an approach to assess railway infrastructure in terms of the risk of overcrowding. The core of this research is to combine qualitative workshop results with quantitative database analysis. Furthermore, the paper gives an outlook on the ongoing process model development as a basis for a semi-quantitative evaluation tool for railway stations applicable by end users.
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Alexander Staves, Harry Balderstone, Benjamin Green, Antonios Gouglidis, & David Hutchison. (2020). A Framework to Support ICS Cyber Incident Response and Recovery. 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. 638–651). Blacksburg, VA (USA): Virginia Tech.
Abstract: During the past decade there has been a steady increase in cyber attacks targeting Critical National Infrastructure. In order to better protect against an ever-expanding threat landscape, governments, standards bodies, and a plethora of industry experts have produced relevant guidance for operators in response to incidents. However, in a context where safety, reliability, and availability are key, combined with the industrial nature of operational systems, advice on the right practice remains a challenge. This is further compounded by the volume of available guidance, raising questions on where operators should start, which guidance set should be followed, and how confidence in the adopted approach can be established. In this paper, an analysis of existing guidance with a focus on cyber incident response and recovery is provided. From this, a work in progress framework is posited, to better support operators in the development of response and recovery operations.
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Alkusaibati, W., & Pilemalm, S. (2023). Digitalized Co-production and Volunteerism in Emergency Response: a Literature Review. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 738–750). Omaha, USA: University of Nebraska at Omaha.
Abstract: ICT-enabled or digitalized co-production of public services has become increasingly relevant to emergency response and crisis management. This study provides a literature review on this phenomenon, exploring both large-scale crises and frequent emergencies. We found that research in the domain is scarce and focuses mainly on the phenomenon in terms of digital volunteerism. In large-scale crises, they mostly refer to spontaneous forms of volunteering, and in smaller emergencies, to more organized volunteers that collaborate with a response organization over time. Similarities to digitalized co-production in the public sector generally include financial, administrative, ICT, and demographic factors. Differences include, e.g., aspects of coordination, support, and processing by formal actors. We argue that there are benefits of adding a theoretical co-production perspective to digital volunteerism in emergency response and that our literature review can guide future research on models and (the double) use of volunteers in both kinds of emergencies.
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Alva Linhagen, Anton Björnqvist, & Peter Berggren. (2022). A Meta-evaluation of Swedish Evaluations of COVID-19 Pandemic Management. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 349–361). Tarbes, France: University of Agder (Norway).
Abstract: The COVID-19 pandemic has had a global impact om society. Different countries and organizations have chosen different approaches to manage this crisis. This paper aims to describes how public Swedish actors (county administrative boards, municipalities, and regional councils) evaluated their management of the COVID-19 pandemic. Also, the paper aims to suggest improvements for crisis management strategies. Applying a meta-evaluation approach to open reports from the public organizations means collecting evaluation reports, determining if they fit the inclusion criteria, and if so, include them in the analysis. Included reports were categorized and given points indicating different types of merits. In addition, a thematic analysis of conclusions was conducted. 110 evaluation reports from 98 different organizations are included in the analysis. The importance of evaluating, having a structure for data collection, analysis, and reporting is reflected in the quality of the reports. Four identified themes offer an understanding of areas in need for development among Swedish regional councils, municipalities, and county administrative boards.
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Amanda Hughes, Fiona McNeill, & Christopher W. Zobel. (2020). 17th ISCRAM Conference Proceedings. Blacksburg, VA (USA): Virginia Tech.
Abstract: The 17th annual conference on Information Systems for Crisis Response and Management (ISCRAM 2020) was scheduled to be held in Blacksburg, Virginia from May 24th-27th, 2020. Unfortunately, due to the widespread impacts of the COVID-19 pandemic, the conference organizers and the ISCRAM Board decided to postpone the conference until May 2021. Even though we could not hold the conference as originally planned, all papers accepted for presentation at ISCRAM 2020 are published in the conference proceedings presented here, and the authors of these papers will have the opportunity to present their papers at the 2021 conference. The 2021 conference will once again be hosted at Virginia Tech in Blacksburg, Virginia, and it will take place during the week of May 23rd, 2021.
The theme of ISCRAM 2020 is �Bringing Disaster Resilience into Focus.� These proceedings seek to highlight resilience in Crisis and Emergency Management and to stimulate discussions that enable the design of crisis and emergency management systems that contribute to more resilient organizations and communities. We are pleased to present the accepted papers for ISCRAM 2020, which consist of excellent contributions on a wide range of topics.
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Amanda Hughes, Keri Stephens, Steve Peterson, Hemant Purohit, Anastazja G. Harris, Yasas Senarath, et al. (2022). Human-AI Teaming for COVID-19 Response: A Practice & Research Collaboration Case Study. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 1048–1057). Tarbes, France.
Abstract: Practice and research collaborations in the disaster domain have the potential to improve emergency management practices while also advancing disaster science theory. However, they also pose challenges as practitioners and researchers each have their own culture, history, values, incentives, and processes that do not always facilitate collaboration. In this paper, we reflect on a 6-month practice and research collaboration, where researchers and practitioners worked together to craft a social media monitoring system for emergency managers in response to the COVID-19 pandemic. The challenges we encountered in this project fall into two broad categories, job-related and timescale challenges. Using prior research on team science as a guide, we discuss several challenges we encountered in these two categories and show how our team sought to overcome them. We conclude with a set of best practices for improving practice and research collaborations.
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Ana Maria Aldea Reyes, Marta Burgos Gonzalez, & Susana Izquierdo Funcia. (2022). Ethics in Catastrophes, Extraordinary Decisions. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 814–819). Tarbes, France.
Abstract: European research projects take ethical aspects into central consideration. In this extended abstract we have developed the methodology of the Search and Rescue (SnR) project and research made in relation to the ethical aspects of animal welfare.
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Ana María Cintora, Eva Teresa Robledo, Cristina Gomez, Raquel Lafuente, Ricardo García, & Cristina Horrillo. (2022). Analysis of the Chemical Incidents from Seveso Directive according to Direct Fatalities and Injuries. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 1058–1067). Tarbes, France.
Abstract: This paper provides a descriptive analysis of the eMARS database, which contains compulsory information on major chemical incidents under the SEVESO Directive. This analysis serves to assess the installations with the highest number of direct fatalities and injuries. At present, the data collected to assess the status of chemical accident risk globally are rather limited. There are some sources of data on chemical accidents in government and industry that might be used to estimate the frequency and severity of some types of events, but they are far from providing a complete perspective that covers all chemical accidents, thus limiting the possibilities of obtaining a more homogeneous picture of the risk of chemical accidents worldwide. Waste storage, treatment and disposal is one of the industrial areas with the highest number of fatalities and injuries, so we must emphasize the importance of this type of industry within the risk maps.
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Ana-Gabriela Núñez, Sebastián Cedillo, Andrés Alvarado Martínez, & Ma Carmen Penadés. (2020). Towards the Building of a Resilient City able to Face Flood Risk Scenarios. 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. 593–601). Blacksburg, VA (USA): Virginia Tech.
Abstract: Despite the efforts that have been made to inform the community about the possible environmental risks, there is still a general lack of information. Currently, we are working on a flood risk scenario focused on a proposal towards a resilient culture together with the support of Information Technologies (IT) as a way to manage information. The goal is twofold: (i) on the one hand, to manage data in a small scenario to analyze and process the data collected from sensors in different sites in a micro-basin. Data get from data processing such as flow and velocity will then be the input data for hydraulic models to predict floods downstream; (ii) on the other hand, to publicize the predictions and the data already processed means people can benefit from information on flood risks, and the different participants may change their perception and consider cooperating in improving resilience.
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