Accessibility navigation


Integrating science into humanitarian and development planning and practice to enhance community resilience

Duncan, M., Crowley, K., Cornforth, R., Edwards, S., Ewbank, R., Karbassi, P., McLaren, C., Penya, J. L., Obrecht, A., Seargent, S. and Visman, E., (2014) Integrating science into humanitarian and development planning and practice to enhance community resilience. Report. UK Collaborative on Development Sciences, London, UK. pp49.

[img] Text - Published Version
· Restricted to Repository staff only
· The Copyright of this document has not been checked yet. This may affect its availability.

2215Kb

Official URL: http://www.ukcds.org.uk/resources/integrating-scie...

Abstract/Summary

There has been an increased emphasis upon the application of science for humanitarian and development planning, decision-making and practice; particularly in the context of understanding, assessing and anticipating risk (e.g. HERR, 2011). However, there remains very little guidance for practitioners on how to integrate sciences they may have had little contact with in the past (e.g. climate). This has led to confusion as to which ‘science’ might be of use and how it would be best utilised. Furthermore, since this integration has stemmed from a need to be more predictive, agencies are struggling with the problems associated with uncertainty and probability. Whilst a range of expertise is required to build resilience, these guidelines focus solely upon the relevant data, information, knowledge, methods, principles and perspective which scientists can provide, that typically lie outside of current humanitarian and development approaches. Using checklists, real-life case studies and scenarios the full guidelines take practitioners through a five step approach to finding, understanding and applying science. This document provides a short summary of the five steps and some key lessons for integrating science.

Item Type:Report (Report)
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > NCAS
Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:37556
Publisher:UK Collaborative on Development Sciences

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation