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.
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.
CECAN Seminar - 14th June 2017 - Clare Twigger-Ross and Owen White - Collingwood Environmental Planning
BEIS, 1 Victoria Street, London 12.45pm - 2pm
Numerous evaluations of natural environment policy and practice are commissioned by the UK and EU government in order to inform, develop and improve. Typically these evaluations are dealing with complex “wicked issues” where that which is being evaluated is likely to have impacts that can’t be easily measured within the time frame of the evaluation; difficulty in unpacking causality and to be operating in less than perfect policy cycles.