[HTML][HTML] Data-driven modeling reveals the Western dominance of global public interest in earthquakes

J Kam, J Park, W Shao, J Song, J Kim… - Humanities and Social …, 2021 - nature.com
Catastrophic earthquakes stimulate information-seeking behaviors beyond the affected
geographical boundaries; however, our understanding of the dynamics of global public …

Lending ears to unheard voices: An empirical analysis of user‐generated content on social media

A Gour, S Aggarwal, S Kumar - Production and Operations …, 2022 - journals.sagepub.com
Governments and healthcare organizations increasingly pay attention to social media for
handling a disease outbreak. The institutions and organizations need information support to …

[HTML][HTML] Media information, flood images, and perceptions in times of flood

H Mohd Zahari, NAM Zainol, A Ismail - Sustainability, 2022 - mdpi.com
Disasters in Malaysia are managed using a framework developed through Directive 20 by
the National Security Council. This framework is widely used in managing floods on the East …

Expert oriented hybrid approach for modeling coordination motivators in humanitarian supply chain: Managerial implications to actors' coordination enhancement

B Masoomi, H Aghajani, A Jafarnejad… - International Journal of …, 2023 - Elsevier
Humanitarian supply chain coordination (HSCC) has been identified as a critical factor in
disaster relief success. Stakeholders must find different ways to communicate information …

[HTML][HTML] Progress and landscape of disaster science: Insights from computational analyses

M Yazdani, M Loosemore, M Mojtahedi… - International Journal of …, 2024 - Elsevier
This study identifies trends in disaster science research as well as knowledge gaps at a
broad scale in order to help underpin and inform future research in the area. A numerical …

Artificial intelligence algorithms in flood prediction: a general overview

M Pandey - Geo-information for Disaster Monitoring and …, 2024 - Springer
This paper presents a comprehensive general overview of the extensive literature available
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …

[HTML][HTML] Theorising the microfoundations of analytics empowerment capability for humanitarian service systems

S Akter, S Motamarri, S Sajib, RJ Bandara… - Annals of Operations …, 2024 - Springer
The world is facing an unprecedented humanitarian crisis due to the COVID-19 pandemic.
Humanitarian service systems are being empowered to tackle this crisis through the use of …

In the interest (s) of many: Governing data in crises

N Clark, K Albris - Politics and Governance, 2020 - ssoar.info
The use of digital technologies, social media platforms, and (big) data analytics is reshaping
crisis management in the 21st century. In turn, the sharing, collecting, and monitoring of …

Solving business problems: the business-driven data-supported process

M Rodgers, S Mukherjee, B Melamed, A Baveja… - Annals of Operations …, 2024 - Springer
Businesses nowadays often feel impelled to rush and implement Big Data and Artificial
Intelligence initiatives in their organizations without clarity on their business problems, nor …

Spatial mapping of the flood-affected regions of Northern Kerala: a case study of 2018 Kerala floods

K Chithra, BV Binoy, P Bimal - Journal of the Indian Society of Remote …, 2022 - Springer
Flood mapping studies gained popularity in recent years with the availability of high-
resolution SAR imagery. Satellite images in the visible spectrum cannot be used for disaster …