I blogged before about the systemic change work I did last year. Recently, I have been reading up a bit on resilience and resilience thinking and was stricken by the similarity of the thinking between that field and what we have come up with as a way to see systemic change in market systems. Continue reading
Over the course of 2016, Shawn and I worked on a piece of research on systemic change in market systems development, funded by the BEAM Exchange. In this work, we question the utility of the concept of systemic change in market systems development (though this is valid in the wider field of economic development) as it is currently used and suggest a rethink. To do so, we went back to search for a fundamental understanding of economic change. This is what we found.
This blog has first been published on my personal blog site.
I have been blogging quite extensively about the Theory of Change (ToC) approach in recent months. My blog posts reflect a process that I have been going through as part of my different work engagements: adapt ToC approaches to be more sensitive to the complexities development programmes face in their day-to-day work.
In parallel, with my colleagues at Mesopartner we keep doing research on understanding complex realities and our human reaction to them based on cognitive science, understanding the process of economic change, making decisions under conditions of uncertainty, and managing highly resilient organisations. In these contexts, ToC has limited applicability and a number of drawbacks. Therefore, we have been working on an alternative approach to the ToC approach which we built from the ground up based on our growing understanding of how complex systems work and how involved actors can lead a process of exploration and change. The approach is called Systemic Insight. Continue reading
Over the last year or so I was hired by a large market systems development programme in Bangladesh to develop a new framework for assessing systemic change for them. We did an initial feasibility study and then a larger pilot study. The report of the pilot study has now been published. Rather than to bore you with the whole report, I would like to share the conceptual thinking behind the framework and the framework itself in this post. In a later post, I will share the methodology. This is not the end of all wisdom and the silver bullet framework everybody has been looking for. For me this is an important step to bring my work and thinking over the last couple of years together into something practically applicable. But this work is not done as I am embarking on a longer research project on systemic change. So there is more learning to come and with it more development of this tool. Please share your thoughts, which would help me to further improve the framework. Continue reading
If you are not following my personal blog, I would encourage you to check out my recent blog post series on the use of a Theory of Change approach in complex development programmes. There are four blog posts in the series:
- Complexity informed theory of change
- Adjusting a theory of change midway
- ToC – all harmony?
- Don’t over-design your ToC
Shawn and I wrote a blog post on the IDS website about our recent article for the IDS Bulletin. Here is how it starts:
The company we work for, Mesopartner, supports development organisations to address the challenge of innovation and change towards economic development, cluster and value chain promotion and the strengthening of local innovation systems.
In our work in economic development, we often find ourselves in situations where we don’t know which interventions will work and what exactly a good outcome will look like.
As a result, those working to plan and deliver development interventions may have divergent views on what must be done and why. These situations are complex (PDF) and uncertain (following Frank Knight’s definition of uncertainty).
Read more at the IDS blog …
The first week of July is traditionally the week of the Mesopartner Summer Academy. This year, the 11th Summer Academy took place in Berlin – the 4th in the German capital. Systemic Insight was again a central pillar of this year’s Academy. We introduced it in a whole day session as a process of discovery in situations where solutions are not obvious.
A process guided by Systemic Insight enables organisations and networks of stakeholders to search for solutions to improve the performance of complex systems or emergent networks. This instrument draws on cognitive science and complexity thinking as well as experiences in the design of participatory social and economic change initiatives such as social labs or cluster platforms. At the same time, Systemic Insight was designed to allow stakeholders to work within complex issues without having to know the theories and understand abstract complexity thinking.
Systemic Insight is an iterative process where stakeholders explore the boundaries and constraints of a system in which the possibilities or solutions are unknown or uncertain. The format of collaboration, be it a multi-stakeholder platform or forum or purely bilateral interaction with the involved actors, is thereby not fixed but depends on the circumstance and can change over time. A high level of self-selection of participants into the process is encouraged. Self-selection means that local actors take ownership of the process by actively opting in, contributing to, investing in, and incorporating change in their own operations based on their interest to solve a problem or their identification with an issue.
In Systemic Insight meso level organisations are seen as central actors of change. Systemic Insight helps them to become more effective in managing change and resilient while assisting firms and networks to adapt to change in the environment. It shifts the focus of actors from responding to change towards actively testing ways to anticipate and actively create change.
The process enables stakeholders to challenge their own assumptions, discover and better understand the system and make sense of the constraints and possible opportunities. It guides them to intervene through portfolios of quick win activities or safe-to-fail experiments. Continuous learning and adjustment ensures an iterative and adaptive approach that is appropriate to tackle complex issues. In order to put learning and adjustment in the centre of the change initiative, monitoring and management functions need to be integrated to allow for decision making that is based on facts and current realities and needs.
As part of the Mesopartner research theme on complexity in development, we will continue to apply and further develop this approach. We seek to work with projects that are stuck and need a fresh approach to infuse the situation with discovery and innovative ideas.