Literature DB >> 30466154

Interdisciplinary Research as an Iterative Process to Build Disaster Systems Knowledge.

Jishnu Subedi1, J Brian Houston2, Kathleen Sherman-Morris3.   

Abstract

Disasters occur at the intersections of social, natural, and built environments, and robust understanding of these interactions can only occur through insight generated from different disciplines. Yet, there are cultural, epistemological, and methodological differences across the many disciplines concerned with hazards and disasters that can make conducting interdisciplinary research difficult. Approaches are needed to overcome these challenges. This article argues that interdisciplinary disaster research can be successful when it entails an iterative process in which researchers from different disciplines work collaboratively and exert reciprocal influence to generate disaster systems knowledge. Disaster systems knowledge is interdisciplinary and is defined as a comprehensive understanding of the intersections of built, natural, and human environmental factors and their interplay in hazards and disasters. The iterative process can reduce disciplinary biases and privileges by encouraging collaboration among researchers to help ensure disciplinary knowledge complements other disciplinary knowledge, to ultimately generate interdisciplinary disaster systems knowledge. The article concludes by illustrating the process by analyzing a research case study of an interdisciplinary approach to volcanic risk reduction.
© 2018 Society for Risk Analysis.

Entities:  

Keywords:  Disaster systems knowledge; hazards and disaster research; interdisciplinary research; iterative process

Year:  2018        PMID: 30466154     DOI: 10.1111/risa.13244

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  1 in total

Review 1.  Remote Sensing Approaches for Meteorological Disaster Monitoring: Recent Achievements and New Challenges.

Authors:  Peng Ye
Journal:  Int J Environ Res Public Health       Date:  2022-03-20       Impact factor: 3.390

  1 in total

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