Abstract
AbstractThe United Nations Office for Disaster Risk Reduction and the World Meteorological Organization launched in 2022 the executive plan of the world program “Early Warning Systems for All” to be implemented from 2023 to 2027. This program champions an investment of USD 3.1 billion into the four pillars of warning systems and calls for multi-hazard and people-centered warning systems (PCWS). However, there is a scientific gap concerning interdisciplinary approaches to promoting them. Motivated by the call for action of “Early Warning Systems for All” and warning research gaps on the lack of interdisciplinarity, a workshop series “Interdisciplinary Approaches for Advancing People-Centered Warning Systems” was held in early 2023. This short article shares the preliminary findings and recommendations of this research, which involved a transnational virtual dialogue between one scientific organization in Brazil and one from the United States. The findings and recommendations discussed in three virtual sessions and one collective working paper were centered on three aspects: promoting interdisciplinary integration in research; the need to discuss the characteristics of a PCWS; and promoting problem- and solution-based programs with people to integrate them at all phases of the warning system.
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Safety Research,Geography, Planning and Development,Global and Planetary Change
Reference31 articles.
1. Aguirre-Ayerbe, I., M. Merino, S.L. Aye, R. Dissanayake, F. Shadiya, and C.M. Lopez. 2020. An evaluation of availability and adequacy of multi-hazard early warning systems in Asian countries: A baseline study. International Journal of Disaster Risk Reduction 49: Article 101749.
2. Bammer, G. 2013. Disciplining interdisciplinarity: Integration and implementation sciences for researching complex real-world problems. Canberra, Australia: Australian National University Press.
3. Basher, R. 2006. Global early warning systems for natural hazards: Systematic and people-centered. Philosophical Transactions Series A, Mathematical, Physical, and Engineering Sciences 364(1845): 2167–2182.
4. Baudoin, M.A., S. Henly-Shepard, N. Fernando, A. Sitati, and Z. Zommers. 2016. From top-down to “community-centric” approaches to early warning systems: Exploring pathways to improve disaster risk reduction through community participation. International Journal of Disaster Risk Science 7(2): 163–174.
5. Clegg, G., R. Haigh, and D. Amaratunga. 2022. Towards an improved understanding of participation in natural hazard early warning systems. International Journal of Disaster Resilience in the Built Environment 13(5): 615–631.