Gonzalez, J. J., & Eden, C. (2023). Devising Mitigation Strategies With Stakeholders Against Systemic Risks in a Pandemic. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 1000–1013). Omaha, USA: University of Nebraska at Omaha.
Abstract: Understanding and managing systemic risk has huge importance for disaster risk reduction in our globally connected world. The COVID-19 pandemic is a prominent case for the global impact of systemic risk. Did so the added urgency of the pandemic systemic risk trigger such paradigm shift? The use of qualitative modelling of systemic risk has progressed the field, particularly when policy makers need support urgently and want to utilize a range of interdisciplinary expertise. We have extended to disaster risk reduction a method for causal mapping for problem solving and strategy development targeting complex project management. Our approach delivers useful, useable, and used mitigation to systemic risk in a pandemic using participatory modelling with practitioners, domain experts and power-brokers.
|
|
Kuntke, F., Baumgartner, L., & Reuter, C. (2023). Rural Communication in Outage Scenarios: Disruption-Tolerant Networking via LoRaWAN Setups. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 975–988). Omaha, USA: University of Nebraska at Omaha.
Abstract: Since communications infrastructure is subject to many impacts, e.g., destructive natural events, it can potentially collapse at any time. Especially in rural areas, the recovery of public network infrastructure can take some time, so a dedicated communication channel would be advantageous. We explore the possibility of transforming commodity LoRaWAN gateways into meshed network nodes for a digital emergency communication channel. In order to obtain the required parameters, we collected farm locations in Germany with OpenStreetMap. Based on the assumptions of LoRa communication range and considering our use case requirements, connecting farm communities seems theoretically feasible in many areas of our data set. To further analyze our idea, we ran simulations of two common DTN routing protocols with different scenarios. A proof-of-concept implementation allows smaller messages to be transmitted using real hardware and demonstrates that a decentralized communications infrastructure based on commodity hardware is possible.
|
|
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.
|
|
Anjum, U., Zadorozhny, V., & Krishnamurthy, P. (2023). Localization of Events Using Neural Networks in Twitter Data. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 909–919). Omaha, USA: University of Nebraska at Omaha.
Abstract: In this paper, we develop a model with neural networks to localize events using microblogging data. Localization is the task of finding the location of an event and can be done by discovering event signatures in microblogging data. We use the deep learning methodology of Bi-directional Long Short-Term Memory (Bi-LSTM) to learn event signatures. We propose a methodology for labeling the Twitter date for use in Bi-LSTM However, there might not be enough data available to train the Bi-LSTM and learn the event signatures. Hence, the data is augmented using generative adversarial networks (GAN). Finally, we combine event signatures at different temporal and spatial granularity to improve the accuracy of event localization. We use microblogging data collected from Twitter to evaluate our model and compare it with other baseline methods.
|
|
Mojir, K. Y., Maceviciute, E., Olson, N., Gatial, E., & Balogh, Z. (2023). Citizen Engagement in wildfire management: needs, challenges, methods and framework. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 761–772). Omaha, USA: University of Nebraska at Omaha.
Abstract: With climate change, the frequency and spread of wildfires have intensified globally, bearing disastrous impacts on wildlife, the economy, and human well-being. Efforts on broad fronts are required, including proactive public participation. However, studies related to citizen engagement in the context of wildfire management remain limited. Therefore, there is a need for further studies in this area. This paper reports on ongoing work conducted in the context of an H2020 project called SILVANUS. The study investigates the methods, practices, needs and challenges related to citizen engagement in wildfire management. The authors have developed a tentative citizen engagement framework, and preliminary results related to citizens' needs and challenges are presented. The study identifies relevant topics, training contents, and methods that can be used for public engagement in wildfire management. The paper contributes towards designing future engagement modalities, technologies and training materials related to wildfire management and potentially even other crises.
|
|