CECAN Webinar with Justin Jagosh, PhD, University of Liverpool
This webinar is the second part of a series on Realist Methodology for the Centre for Evaluation of Complexity across the Nexus.
Undertaking inquiry using the realist approach involves analyzing complexity in terms of context-mechanism-outcome configurations.
Confusion often arises in determining when data should fit under 'context' or else 'mechanism' in the process of configuring.
This webinar will offer a simple set of definitions for context, mechanism and outcome and will introduce a number of examples of 'raw data' that we will transform into CMO configurations during the webinar to exemplify how to do it.
The goal is to stimulate ideas around how to define concepts, theorize programmes and configure data in realist analysis, with the ultimate ambition of increasing capacity for using realist evaluation to innovate and transform programmes.
When: – Friday 7th July 2017 (1 day)
Location: – University of Surrey, Guildford, UK
Purpose: The complex socio-technical arenas (nexus issues) that government seeks to improve (e.g., health, food, water, safety, infrastructure) are not driven by a single factor or consequence. Instead, they are driven by multiple factors at multiple levels, which lead to different trends or outcomes for different areas/groups of people.
The challenge is how to model such diversity and complexity? The complexity sciences, data mining and big-data offer some useful solutions. The challenge, however, is stitching these methodological solutions together into a user-friendly platform and APP, which policy makers, social scientists, evaluation commissioners and civil servants can use – hence our creation of COMPLEX-IT and the SACS TOOLKIT.
11th July 2017, BEIS, 1 Victoria St, London 12.45-2pm
Harry Walton, Economist the Environment Agency, and Helen Wilkinson, Director, Risk Solutions
The ‘theory of change’ evaluation strategy (described in the Magenta book) was developed to help tackle evaluation of complex multi-level, multi-intervention initiatives.
Elements of theory of change mapping are now widely used to both plan and evaluate new initiatives. However, the approach has been criticized for being too ‘linear’ to effectively reflect the complexity inherent in many programmes or situations.
Dependency modelling provides one way of meeting this challenge.