Just finished ‘Aid on the Edge of Chaos’ by Ben Ramalingam,
which applies ideas about complex adaptive systems to aid and development.
Though ‘finished’ wouldn’t be quite the right word, as I reckon I’ll need about
four more readings to get close to understanding the content. As the title
suggests, this will be more a provisional set of conclusions.
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Conventional development thinking: 'whoops' credit www.drsalonen.com |
I’ve already written about how Ramalingam critiques the current
mode of thinking in development but it’s worth repeating the basic
point: we need to stop applying simplistic analyses to complex problems. Ideas
derived from Newtonian physics aren’t able to fully describe the totality of
our social, environmental, ecological, political and economic reality. Who
knew? Actually, the observation that the world is complex is so obvious that I
can’t believe we’ve managed to fool ourselves into thinking that you can reduce
REALITY to a few squares on a log-frame all this time.
Upshot: as Abraham Lincoln says, "we must disenthrall
ourselves" (one of many, many brilliant quotes in the book).
One part of this disenthralling is to stop looking for
panaceas in development. Owen Barder recounts them nicely for us: more capital,
more savings, more aid, more technology, better policies, better institutions, better
politics. In fact, the desire for panaceas is itself part of the problem. And
no, thinking in terms of complex adaptive systems is not the panacea either. This
might seem obvious: accepting that there isn’t one solution to the problem of achieving development sounds easy,
but actually our brains have a sneaky tendency to slip back into that way of
thinking. This came home to me listening to a podcast in preparation for this
post (it’s sad but I actually do prepare); Humanosphere editor Tom Paulson, when interviewing Owen
Barder, asked him whether complexity thinking means that we need to look at tax
havens to achieve development. Barder: that’s exactly the type of panacea
thinking we are trying to get away from. Yeah.
So what are complex adaptive
systems/systems of organised complexity? Let me throw some words at you that
together constitute a vague approximation to an answer. Complex adaptive systems have
large numbers of mutually interacting parts, are open to the environment, are
self-organising in their internal structure, have ‘emergent’ macroscopic
properties over and above the properties of their constitutive parts (think
human consciousness as more than putting together feet and white blood cells
and nerves and lungs). Complex systems are interconnected and interdependent
and dynamic, constantly evolving and adapting. From all that I’m sure it’s
apparent that I don’t totally understand either. Looking at the box might be
helpful at this point. In fact Ramalingam takes pains to emphasise that
complexity thinking is itself a work in progress even for people who research
it, so don’t feel bad.
Comparison of conventional aid thinking and complexity-influenced ideas about development |
Okay so that’s all well and
interesting that clever people have found out why everyone’s been wrong for the
last seventy years but what does it mean for development? Ramalingam provides
some broad-brush messages on this: complexity thinking can’t tell you what to
do on Monday morning, but it can help us understand the world around us better,
promote more open debate about the challenges facing us, and help us think up
new approaches to problems. It can help us “see through new eyes”. In this
sense, development is more of an emergent property of a society/economy rather
than a outcome of a process to be engineered. Aid in an ideal world then
becomes “an open innovation network,” an “internal catalyst...[to] identify,
expand and sustain the space for change,” a “fluid, dynamic, emergent” process. We stop looking for ‘the
answer’ because, as the NYU Development Research Institute strapline goes,
“there are no answers for global poverty. There are only answer-finding
systems.” If nothing else, you can’t say complexity thinking isn’t good at
snappy one-liners.
The thrill from this enormous
potential is kind of feeding into my disillusionment with NGO work at the
moment; the organisations I have experienced thus far are not embedded in the relevant 'system', not looking to foster small adaptive changes whilst accepting the underlying
complexity of the problem they are trying to address. The organisations I have
worked for have their ‘product’ with its own intellectual framework which is superimposed
onto a given situation. They have their own thinking, activities and feedback
loops which are only tangentially aligned with the problem at hand with all its
complexity, non-linear characteristics and emergent properties. And most
dangerous of all, they are self-sustaining, insulated from their own
inadequacies by the current aid system.
Ramalingam shows us complex
systems thinking in action: it’s all over the place apparently, from emergent
leadership in Obama’s election campaign, to holistic range management in
Zimbabwe, to conflict resolution in Aceh after the Boxing Day tsunami, to the
development of M-Pesa mobile money in Kenya. The book is filled with examples.
After the above whirlwind, I’m
still left with a few questions though:
- How do you identify a system? What is the scale of a system?
- How do you know when something is not a problem of organized complexity?
- What would development institutions/donors/NGOs look like if you took them apart and rebuilt them to be equipped to face problems of complexity?
- What are the steps to changing aid in the right direction? Is it just that we read Ramalingam's book, realise we’ve been doing it wrong and change our approach? How do you change the system? (Ramalingam recognises the difficulties of this with the remark that “thousands of careers depend on sustaining certain ways of looking at the world”. That'd be politics again.)
Time to read it again I guess.