This report provides a brief overview of the most popular modelling techniques used to analyse complex real-world problems, as well as some less popular but highly relevant techniques. The modelling methods are divided into three categories, with each encompassing a number of methods, as follows:
Recent technological advances provide comprehensive digital traces of social actions, interactions, and transactions and are described in this video. These data provide an unprecedented exploratorium to model the socio-technical motivations for creating, maintaining, dissolving, and reconstituting into teams.
The RAPID Outcome Mapping Approach (ROMA), "comprises a suite of tools that any organisation can use at any stage in their policy engagement process to improve how they diagnose the problem, understand the types of impact their work could have on policy-making, set realistic objectives for policy influence, develop a plan to achieve those object
"The report includes strategic guidance and practical approaches regarding how CSOs [civil society organisations] can ensure their policy engagement is more effective, influential and sustained." It is designed for use in developing countries to have a pro-poor impact.
Introduces a range of tools for being more influential in bringing about evidence-based policy and practice change. The tools were developed by the ODI (Overseas Development Institute) Research and Policy in Development Programme (RAPID).
This handbook describes research tools, context assessment tools, communication tools, and policy influence tools. They include episode studies, force field analysis, the marketing mix and getting to yes.
We live in an increasingly interconnected world where there are few simple policy solutions to complex, often “wicked” problems, and an increasing number of stakeholders with multiple, often divergent incentives are involved in decision-making.
"For policy to bring positive change to people, it needs to be informed by the best available evidence and local knowledge. Producing robust evidence is just part of the policy change; we need to look at where that evidence is – or isn’t – being used by governments, and why.