Examines the link between relevance and bias. Specifically examines this link for research on peace-building and post-conflict development, arguing that research must be coupled with action to shift power balances.
ADOPT (Adoption and Diffusion Outcome Prediction Tool) has been designed to increase understanding of factors influencing adoption of non-contentious mainstream agricultural innovations in developed countries.
"Each article in this series presents a proposed tool that can be used by those involved in finding and using research evidence to support evidence informed health policymaking. The series addresses four broad areas: 1. Supporting evidence informed policymaking; 2.
GRADE stands for ‘Grading of Recommendations Assessment, Development and Evaluation’. It was developed for health systems interventions. The GRADE approach separates two issues: 'the quality of the evidence and the strength of recommendations.
Grading instruments can help policy decision makers evaluate research on a given topic. There are many grading instruments available to “…provide a metric to ‘quantify’ the quality of evidence from either an individual study or from a body of evidence”.
This toolbook presents more than 120 techniques aimed at achieving change, many of which are useful in a research integration and implementation context. There are three major sections covering personal, team and larger systems change. Some tools are able to be used for more than one type of change.
Zeynep Tufekci addressing the topic “online social change: easy to organize, hard to win” points out “a network of tweets can unleash a global awareness campaign, but the outcomes are not proportional to the size and energy they inspire”.
The point of collaboration is to combine different skills and attributes. But collaborators do not just come with desirable differences to be harnessed. Some differences get in the way of collaboration and must be managed for the research to proceed.
Shares tips for collaboration between HASS (Humanities, Arts and Social Science) and STEM (Science, Technology, Engineering and Medicine/Mathematics) sectors based on experience undertaking research on water-related issues.