You are warmly invited to participate in a CECAN Webinar with Justin Jagosh (PhD) from the University of Liverpool.
"Realist Methodology for Complexity-Mindful Evaluations in the Food, Energy, Water and Climate Sectors".
14th March 2017 - 16.00 pm
Many approaches to addressing complexity in evaluation design are burgeoning. In part this is in response to the inadequacy of 'complexity-thin' approaches to supporting solutions to entrenched and evolving problems. A second factor is witnessing new complex problems emerging with radical changes in society and sectors. In this context, the realist paradigm serves as a guide to expand complexity-mindedness, which presumably translates into more useful and relevant knowledge products, and a community of realist evaluation specialists dedicated to developing a lens on 'context-mechanism' interactions. This webinar will introduce realist methodological principles, and explain how realism can increase our complexity-mindedness and capacity to gain causal insight.
BEIS, 3 Whitehall Place, London, SW1A 2AW 1-2pm
About The Speaker
Brian Castellani is Professor of Sociology and Lead of the Complexity in Health and Infrastructure Group at Kent State University, as well as Adjunct Professor of Psychiatry, Northeast Ohio Medical University and co-editor of the Complexity in Social Science series, Routledge.
When – Tuesday 21st February 2017 Location – University of Surrey, Guildford, UK
Intended audience? – Anyone who confronts ‘wicked issues’ in their work so that includes policy makers, practitioners, consultants and academic researchers who engage with messy and complex reality.
What level of prior knowledge of subject required? – None in technical terms but an understanding of the implications of the term ‘wicked issues’ would help – look it up on Wikipedia. See also the Wikipedia entry on Problem Structuring Methods because Exploratory QCA can be used as a basis for that kind of approach.
At the end of this course you should be able to...
Understand the value of systematic comparison as a way of exploring multiple and complex causation.
Be able to start using binary QCA as a mode of exploration of appropriate information / data.
Know the character of the various forms of QCA and be able to assess their value to you in confronting problems in causation and evaluation.
Bio of Tutor / Prof David Byrne