Abstract

Context: Global environmental change and disasters pose several challenges to governments, society and science. These challenges occurred in social contexts were information and communication technologies can be used to share data and information, engaging citizen scientists in multidirectional and decentralized knowledge creation initiatives. Often referenced as participatory (or people-centered) early warning systems, this has been of a great potential to improve decisions taken by both emergency institutions and exposed and/or affected communities. Several methodologies have been proposed, mainly in natural science, redefining traditional ways of transferring knowledge about scientific process to the public. Gap: However, practice and research still lack studies that investigate how citizens can be involved in citizen science to support early warning systems. From a social science perspective, this is important as these works do not fill the gap between citizen science and disaster prevention. While, on a technological and perspective, efforts have been concentrated on developing systems, methodologies, and approaches rather than understanding citizens’ requirements or ways of better engaging citizens. Obj: This paper provides a social science framework to determine the elements of how citizen science and participatory early warning systems can be bridged. Method: For doing so, we will conduct a systematic mapping for examining the literature on citizen science and disaster management, in particular, those focused on social science and participatory approaches for early warning systems. Results of this review showed that only 3,35% (14 of 417) articles were related to citizen science and P-EWS, which indeed indicate that much effort is needed to disseminate what is citizen science and how it can be mainstreamed in DRM field. Furthermore, the proposed framework can contribute by enhancing stakeholders’ reflexivity about EWS.

Highlights

  • In 2016, the United Nations International Strategy for Disaster Reduction (Unisdr) conducted an international conference to discuss the role of Science and Technology (S&T) on the implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR)

  • From an initial set of 408 studies published in well-known journals in the area of disaster risk management (DRM), only 14 (3,43%) articles were related to citizen science and P-early warning system (EWS), which indicate that much effort is needed to disseminate what is citizen science and how it can be mainstreamed in DRM field

  • Results of this literature review provided evidence of the predominance of floods as the main hazard (29% of selected studies), and the low popularity of citizen science in well-known journals in the field of DRM

Read more

Summary

Introduction

In 2016, the United Nations International Strategy for Disaster Reduction (Unisdr) conducted an international conference to discuss the role of Science and Technology (S&T) on the implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR). As a set of capacities, data, information and knowledge that allow the early action of individuals and communities exposed to hazards to prepare and evacuate in an appropriate manner and in adequate time to reduce the likelihood of loss of life, personal injury, losses and damages (United Nations International Strategy for Disaster Reduction [UNISDR], 2009). This work will lie on the “first mile” approach, focusing on people-centered EWS (United Nations International Strategy for Disaster Reduction [UNISDR], 2005, 2006b), community early warning systems - CEWS (International Federation of the Red Cross and Red Crescent Societies [IFRC], 2012), community-centric EWS (Baudoin et al, 2016), community-based EWS (Macherera and Chimbari, 2016a), participatory EWS (Baudoin et al, 2016; Marchezini et al, 2017)

Results
Discussion
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.