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

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.

United Way and University partnerships in community-wide human services planning and plan implementation: The case of Lincoln/Lancaster County, Nebraska.

Given the similar interests of United Way organizations and universities in planning, implementation, and evaluation of human services, the two social institutions could be extensively and effectively partnering with one another. However, there is little documentation that such cooperative efforts are taking place. This article describes one such collaboration in Lincoln, Nebraska. The purpose of the article is to show the potential of such collaboration to improve community-wide coordination and outcomes by following the principles of a community-engagement model, to generate more effective use of evaluative tools that can assist in developing evidence-based practices in community planning, and to connect areas of study within the university to United Way efforts.