Transnational Dialogues on Interdisciplinary Approaches for Advancing People-Centered Warning Systems  

作　　者：Victor Marchezini 

机构地区：[1]Cemaden–National Early Warning and Monitoring Centre of Natural Disasters,São Josédos Campos,12.247-016,Brazil [2]Natural Hazards Center,Institute of Behavioral Science,University of Colorado Boulder,Boulder,CO,80309,USA

出　　处：《International Journal of Disaster Risk Science》2023年第5期868-872,共5页国际灾害风险科学学报（英文版）

基　　金：the Sao Paulo Research Foundation-Fapesp (Grant No.2018/06093-4) for his scholarship to serve as a visiting postdoctoral researcher at the Natural Hazards Center (NHC) at University of Colorado Boulder,between June 2022 and June 2023

摘　　要：The 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 peoplecentered 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.

关 键 词：Capacity building COOPERATION Interdisciplinary methods Warning implementation Warning research 

分 类 号：X4[环境科学与工程—灾害防治]