Normative Complexity: Breaking Up is Hard To Do
Posted: March 26, 2013 Filed under: complexity, innovation, psychology, systems thinking | Tags: complexity, design, jeans, mental health, mindfulness, minimum specifications, normative behaviour, psychology, psychotherapy, Russell Ackoff, social innovation Leave a comment »
Normative behaviour is what we expect from others operating in the world around us. It is what defines the world “normal”. It’s based on a complex array of history, social conventions, mores, values, context and timing, but it is the reason we know weird or odd from something else. Weird, is by definition, something that is not normal.
What I Learned From Denim
Many years ago I saw a TV special looking at the world of fashion and was struck by the process of designing denim jeans for men. The audience was told that jeans are often designed based on the prototype of the ‘average’ man and then worked out from there. What struck me was that they also said the ‘average’ man has a size that matches about 1 in every 7500 men. So the average — the normal — is not average at all. Indeed, he is particularly rare. Male models who represent this size do very well in their profession.
While there is a norm of social behaviour, there are actually very few people who are wholly ‘normal’ in their actions, nor are there obvious cases where normal is indeed, then norm in social systems. Why? Because social systems are complex by their very nature. They bring together diverse, overlapping, dynamic elements together operating at different scales simultaneously. This is complexity.
Just as individuals we bring our familial history, education, gender, sex, age, faith (if it exists), height, race (which might be highly mixed), experience, physical abilities, fashion choice, body type, vocal acuity, energy level and on to every single interaction we have. Every one of those factors — of this limited group — bring with it a set of unique attributes that individually and socially have differing weight and ‘normality’ depending on the circumstance. To imagine that there is a place where all of these line up with everyone else is utterly absurd if not statistically impossible.
Yet, we cling to the idea that normal exists and might even be something to aspire to. We push a conformity on to our expectations of each other and our research that is unreasonable and often harmful.
It’s not unexepcted. From our earliest days in the society we belong there is pressure to conform. Norms are what hold societies together. They are what creates culture. But where the confusion comes in is with the treatment of norms as truly common things that is universally positive (if attainable).
It is the often mis-attributed following quote to many that still stands out as true:
There is nothing so uncommon as common sense
In complexity science, norms are not disregarded, but are only minimally useful in helping understand patterns of activity. There are path dependencies, which guide certain activities and point to the importance of knowing where things start to help trace the manner in which they project outward. There are things called minimum specifications, often referred to as ‘simple rules’, that can help us create certain conditions within boundaries to shape behaviour. Yet, no matter how we shape these, the normative condition is not and will not be normal in any sense like your favourite pair of jeans.
What Relationship Break-Ups Can Teach Us About Complexity
Psychology and Psychotherapy, when operating at its best, helps people to understanding their true selves independent of, although interdependent with, the world around them. It falls short when it pushes people to conform to social norms apart from their true self. This is a shame.
Ask anyone who has endured a particularly heartfelt breakup of a relationship about normal and you’ll see the pain caused when we ascribe normative behaviour to complex systems. Sensemaking in a breakup is hard to do because of the massive cultural and social baggage we attach to them. Marriages, engagements, boy/girlfriend partnerships, affairs, flings, and flirts all bring socially normative expectations (and taboos) with them. And yet, if you think to any of those relations you’ve had I suspect that you’ll find that at its core there was relatively little ‘normal’ actually going on. Each relationship has its own cadence, pattern and normalness to it.
The best relationships have their own way of creating patterns that are unique to themselves, which is why we can’t replace or hope to replace one with another. They are irreplaceable for the very reason they are special. Not necessarily better or worse — but perhaps more congruent, happy, loving and so on — but different. The things that turn one person on are not the same as some one else and this is what makes relationships hard, but also exciting. This is what a complex adaptive system is like in real life.
Unless there was some obvious punctuated event like an affair or assault or major crime, most relationships don’t end because of a single thing. There might not even be a clear sense of what the “thing” that caused the breakup was. Sometimes people drift apart, sometimes the spark disappears, other times individuals forget who they are, while in some cases people discover themselves to be altogether new. Even still, sometimes this all happens at the same time, over time, in ways that neither couple can see until they are too far apart to connect. A complex system.
Treat this like a linear system and you may find potentially catastrophic consequences and hence the drama that TV and film introduce in their break-up scenes. For a funnier, but no less important take on this, see the video below from Dave Snowden.
This happens with lovers, spouses and friends all the time. A look to popular psychology or media will suggest that there are ways to handle this and no doubt efforts will be made to show how ‘healthy’ people transition and what they do to do so. These ‘healthy’ people will represent the ‘norm’. They’ll take time out for themselves, they’ll ‘get back up on the horse’, they’ll do the Eat, Pray, Love journey.. All of these might work, but they are based on an assumption that whomever is recommending these strategies knows the complexity of the individual’s case to whom they are referring.
Some therapists do, many do not. If you’re in for two or three sessions it will undoubtedly fall to the latter.
This is parallel to what we do in our efforts to inspire systems change. We look to the norms of our society, our discipline, our sector, our community and so on and we hire people for the equivalent of one to three to five sessions to tell us what to expect and do. What we get is Dr. Phil, which sounds great, allows us to boil enormous complications into a one hour soundbite or self-help book, and feel good because we are doing something that matches society’s expectation and we end up with what Russell Ackoff suggests as doing the wrong things righter.
Minding Our Norms
We expect to go into these encounters being the 1 in 7500 male model for jeans, when we are our own model for our our denim.
Work in complexity means breaking up with normative expectations and becoming mindful of what our own unique ones are as well as what the minimum specifications are that link us to that common thread of humanity — society, discipline, family, community, whatever. This is not easy. Mindfulness is very hard, but remarkably simple.
The more mindful we are of the rules and norms we live by or try to live up to, the better we can understand where they fit and where they collide against our own specific condition and setting and better craft strategies and design opportunities for real, genuine social innovation and not a caricature.
We need to be the model for our own jeans. When we do that, the fit will be both bespoke and very fashionable.
Photo by Muffet Used under Creative Commons Licence
Handbook of Systems and Complexity in Health
Posted: January 16, 2013 Filed under: complexity, innovation, public health, systems science, systems thinking | Tags: book, Carmel Martin, complexity, health, Joachim Sturmberg, public health, systems thinking, wicked problems 3 Comments »
Handbook of Systems and Complexity in Health
A brilliant and comprehensive new book has been launched that brings together the best scholars working in the area of systems thinking and complexity and applying it to health.
The book description can be found here along with a link to the abstract for a chapter I co-authored with Andrea Yip looking at the overlap between design thinking and systems science and complexity. This chapter takes a design lens on previous work developing the CoNEKTR model for engagement in complexity and health.
It’s a big book, but well worth a look if you’re wrestling with complexity and systems thinking in health and social innovation.
Evaluating Social Innovation For Social Impact
Posted: November 15, 2012 Filed under: complexity, design thinking, education & learning, emergence, evaluation, knowledge translation, systems thinking | Tags: design, design thinking, developmental design, developmental evaluation, evaluation, evidence, Helsinki Design Lab, knowledge exchange, knowledge translation, research design, research methods, social impact, social innovation 1 Comment »
How do the innovation letters line up?
Earlier this week I has the pleasure of attending talks from Bryan Boyer from the Helsinki Design Lab and learning about the remarkable work they are doing in applying design to government and community life in Finland. While the focus of the audience for the talks was on their application of design thinking, I found myself drawn to the issue of evaluation and the discussion around that when it came up.
One of the points raised was that design teams are often working with constraints that emphasize the designed product, rather than its extended outcome, making evaluation a challenge to adequately resource. Evaluation is not a term that frequents discussion on design, but as the moderator of one talk suggested, maybe it should.
I can’t agree more.
Design and Evaluation: A Natural Partnership
It has puzzled me to no end that we have these emergent fields of practice aimed at social good – social finance and social impact investing, social innovation, social benefit (PDF)– that have little built into their culture to assess what kind of influence they are having beyond the basics. Yet, social innovation is rarely about simple basics, it’s influence is likely far larger, for better or worse.
What is the impact being invested in? What is the new thing being created of value? and what is the benefit and for whom? What else happened because we intervened?
Evaluation is often the last thing to go into a program budget (along with knowledge translation and exchange activities) and the first thing to get cut (along with the aforementioned KTE work) when things go wrong or budgets get tightened. Regrettably, our desire to act supersedes our desire to understand the implication of those actions. It is based on a fundamental idea that we know what we are doing and can predict its outcomes.
Yet, with social innovation, we are often doing things for the first time, or combining known elements into an unknown corpus, or repurposing existing knowledge/skills/tools into new settings and situations. This is the innovation part. Novelty is pervasive and with that comes opportunities for learning as well as the potential for us to good as well as harm.
An Ethical Imperative?
There are reasons beyond product quality and accountability that one should take evaluation and strategic design for social innovation seriously.
Design thinking involves embracing failure (e.g, fail often to succeed sooner is the mantra espoused by product design firm IDEO) as a means of testing ideas and prototyping possible outcomes to generate an ideal fit. This is ideal for ideas and products that can be isolated from their environment safely to measure the variables associated with outcomes, if considered. This works well with benign issues, but can get more problematic when such interventions are aimed at the social sphere.
Unlike technological failures in the lab, innovations involving people do have costs. Clinical intervention trials go through a series of phases — preclinical through five stages to post-testing — to test their impact, gradually and cautiously scaling up with detailed data collection and analysis accompanying each step and its still not perfect. Medical reporter Julia Belluz and I recently discussed this issue with students at the University of Toronto as part of a workshop on evidence and noted that as complexity increases with the subject matter, the ability to rely on controlled studies decreases.
Complexity is typically the space where much of social innovation inhabits.
As the social realm — our communities, organizations and even global enterprises — is our lab, our interventions impact people ‘out of the gate’ and because this occurs in an inherently a complex environment, I argue that the imperative to evaluate and share what is known about what we produce is critical if we are to innovate safely as well as effectively. Alas, we are far from that in social innovation.
Barriers and Opportunities for Evaluation-powered Social Innovation
There are a series of issues that permeate through the social innovation sector in its current form that require addressing if we are to better understand our impact.
- Becoming more than “the ideas people”: I heard this phrased used at Bryan Boyer’s talk hosted by the Social Innovation Generation group at MaRS. The moderator for the talk commented on how she had wished she’d taken more interest in statistics in university because they would have helped in assessing some of the impact fo the work done in social innovation. There is a strong push for ideas in social innovation, but perhaps we should also include those that know how to make sense and evaluate those ideas in our stable of talent and required skillsets for design teams.
- Guiding Theories & Methods: Having good ideas is one thing, implementing them is another. But tying them both together is the role of theory and models. Theories are hypotheses about the way things happen based on evidence, experience, and imagination. Strategic designers and social innovators rarely refer to theory in their presentations or work. I have little doubt that there are some theories being used by these designers, but they are implicit, not explicit, thus remaining unevaluable and untestable or challenged by others. Some, like Frances Westley, have made theories guiding her work explicit, but this is a rarity. Social theory, behaviour change models and theories of discovery beyond just use of Rogers’ Diffusion of Innovation theory must be introduced to our work if we are to make better judgements about social innovation programs and assess their impact. Indeed, we need the kind of scholarship that applies theory and builds it as part of the culture of social innovation.
- Problem scope and methodological challenges with it. Scoping social innovation is immensely wide and complicated task requiring methods and tools that go beyond simple regression models or observational techniques. Evaluators working social innovation require a high-level understanding of diverse methods and I would argue cannot be comfortable in only one tradition of methods unless they are part of a diverse team of evaluation professionals, something that is costly and resource intensive. Those working in social innovation need to live the very credo of constant innovation in methods, tools and mindsets if they are to be effective at managing the changing conditions in social innovation and strategic design. This is not a field for the methodologically disinterested.
- Low attendance to rigor and documentation. When social innovators and strategic designers do assess impact, too often there is a low attention to methodological rigor. Ethnographies are presented with little attention to sampling and selection or data combination, statistics are used sparingly, and connections to theory or historical precedent are absent. Of course, there are exceptions, but this is hardly the rule. Building a culture of innovation within the field relies on the ability to take quality information from one context and apply it to another critically and if that information is absent, incomplete or of poor quality the possibility for effective communication between projects and settings diminishes.
- Knowledge translation in social innovation. There are few fora to share what we know in the kind of depth that is necessary to advance deep understanding of social innovation, regularly. There are a lot of one-off events, but few regular conferences or societies where social innovation is discussed and shared systematically. Design conferences tend towards the ‘sage on the stage’ model that favours high profile speakers and agencies, while academic conferences favour research that is less applied or action-oriented. Couple that with the problem of client-consultant work that is common in social innovation areas and we get knowledge that is protected, privileged or often there is little incentive to add a KT component to the budget.
- Poor cataloguing of research. To the last point, we have no formalized methods of determining the state-of-the-art in social innovation as research and practice is not catalogued. Groups like the Helsinki Design Lab and Social Innovation Generation with their vigorous attention to dissemination are the exception, not the rule. Complicating matters is the interdisciplinary nature of social innovation. Where does one search for social innovation knowledge? What are the keywords? Innovation is not a good one (too general), yet neither is the more specialized disciplinary terms like economics, psychology, geography, engineering, finance, enterprise, or health. Without a shared nomenclature and networks to develop such a project the knowledge that is made public is often left to the realm of unknown unknowns.
Moving forward, the challenge for social innovation is to find ways to make what it does more accessible to those beyond its current field of practice. Evaluation is one way to do this, but in pursuing such a course, the field needs to create space for evaluation to take place. Interestingly, FSG and the Center for Evaluation Innovation in the U.S. recently delivered a webinar on evaluating social innovation with the principle focus being on developmental evaluation, something I’ve written about at length.
Developmental evaluation is one approach, but as noted in the webinar : an organization needs to be a learning organization for this approach to work.
The question that I am left with is: is social innovation serious about social impact? If it is, how will it know it achieved it without evaluation?
And to echo my previous post: if we believe learning is essential to strategic design we must ask: How serious are we about learning?
Tough questions, but the answers might illuminate the way forward to understanding social impact in social innovation.
* Photo credit from Deviant Art innovation_by_genlau.jpg used under Creative Commons Licence.
The Mindful Socially Innovative Organization
Posted: October 16, 2012 Filed under: complexity, emergence, evaluation, innovation, social systems, systems thinking | Tags: awareness, consciousness, contemplative inquiry, mindfulness, organizational development, organizational psychology 2 Comments »
Mindful Eye on the Organization
In complex systems there is a lot to pay attention to. Mindfulness and contemplative inquiry built into the organization can be a way to deal with complexity and help detect the weak signals that will make it thrive and be resilient in the face of challenges.
Most human-centred social ventures spend much of their time in the domain of complexity. What makes these complex is not the human part, but the social. As we interact with our myriad beliefs, attitudes, bases of knowledge, and perceptions we lay the foundation for complexity and the emergent properties than come from it. It’s why we are interesting as a species and why social organizing is such a challenge, particularly when we encourage free-flowing ideas and self-determination. Because of this complexity, we get exposed to a lot of information that gets poorly filtered or synthesized or missed altogether. Yet, it is in this flotsam and jetsam of information that keys to future problems and potential ‘solutions’ to present issues might lie. This is the power of weak signals. But how to we pay attention to these? And what does it matter?
The Strength of Weak Signals
A human social organization, which could mean a firm, a network, or a community — any collection of people that is organized by itself or other means — most likely generates complexity, sometimes often and sometimes occasionally. If we consider the Cynefin Framework, the domain of complexity is where emergent, novel practice is the dominant means of acting. In order to practice effectively within this space, one probes the environment, engages in sensemaking based on that information, and then responds appropriately. Viewed from another perspective, this could easily be used to describe mindfulness practice.
Mindfulness is both a psychological state and activity and a psychospiritual practice. I am using this in the psychological sense, even if one could apply the psychospiritual lens at the same time if they wished. Bishop and colleagues (2004) proposed a two-component definition of mindfulness:
The first component involves the self-regulation of attention so that it is maintained on immediate experience, thereby allowing for increased recognition of mental events in the present moment. The second component involves adopting a particular orientation toward one’s experiences in the present moment, an orientation that is characterized by curiosity, openness, and acceptance (p.232)
Weak signals are activities that when observed across conditions reveal patterns that provide beneficial (useful) coherence that has meaningful potential impact on events of significance, yet yield little useful information when observed in discrete events. In other words, these are little things that get spotted in different settings, contexts and times that when linked together produce a pattern that could have meaningful consequences in different futures. By themselves, such signals are relatively benign, but together they reveal something potentially larger.
One reason weak signals get missed is the premature labelling of information as ‘good’ and the constrained definition of what is ‘useful’ based on the current context. Mindfulness practice allows you to transcend the values and judgements imposed on data or information presented in front of you to see it more objectively.
Mindfulness involves quieting the mind and focusing on the present moment, not the past or the possible implications for the future, just the here and now. It is not ahistorical, however. Our past experience, knowledge and wisdom all come to bear on the mindful experience, yet they do not guide that experience.
Experience provides a frame of reference to consider new information, not judge it or apply value to it. It is what allows you to see patterns and derive meaning and sense from what is out there.
Building Mindful Organizations
A review of the research and scholarship on mindfulness finds a nearly exclusive focus on the individual. While there is much literature on the means of using mindfulness and contemplative inquiry as means of being active in the world, this is done largely through mechanisms of individuals coming together as groups, rather than the organizations they form as the focus of analysis.
There is an exception. Social psychologists Weick and Sutcliffe (2007, summarized here and here – PDF) wrote about resiliency in the face of uncertainty using a mindfulness lens to understand how organizations make better sense of what they do and experience in their operations. In their manuscript, Organizing for High Reliability: Processes of Collective Mindfulness (PDF), they lay down a theory for the mindful organization and how it increases the reliability of sensemaking processes when applied to complex informational environments.
They describe the conditions that precipitate mindfulness in organizations this way (p.38):
A state of mindfulness appears to be created by at least five processes that we have induced from accounts of effective practice in HROs (High Reliability Organizations) and from accident investigations:
1. Preoccupation with failure
2. Reluctance to simplify interpretations
3. Sensitivity to operations
4. Commitment to resilience
5. Underspecification of structures
It is notable that the aim here is not to reduce complexity (or impose simplicity), nor is it to focus on ‘positivity’, rather it is focused on events that help contribute to moving in particular direction. In that regard, this is not neutral, but it is not active either. It enables organizations to see patterns, focus on structures and information that encourages resilience to change, and contemplates what that information means (sensemaking) in context. Doing so provides useful information for decision making and taking action, but doesn’t frame information in those terms a priori.
Seeing Beyond Events
At issue is the development of consciousness of what is going on within your organization moment-to-moment, rather than punctuated by events. Events are the emergent properties of underlying patterns of activity. When we spend time attending to events without understanding the conditions that led to those events, we are doing the equivalent of changing the dressing on a wound in the absence of preventing or understanding its cause.
A mindful organization, like the image of the Buddha above, can emphasize the eye, but not at the expense of the rest of the picture. It is attuned to both simultaneously, noting events (e.g., like the square highlighted eye above), but that it is only through the underlying pattern beneath it that the highlighted context makes sense (the rest of the pictured squares). Yet, the only way the organization can learn that the yellow square is different or to ascertain its meaningful significance is through a sense of the whole, not just the part and that is social.
The Curious Organization
Mindfulness and its wider-focused counterpart Contemplative Inquiry both have a root in attending to the present moment, but also in curiosity about the things that is brought to the mind’s attention. It’s not just about seeing, but inquiring. What makes it distinct is that it does not impose judgement on what is perceived not seeking to change it while in that state of mindful awareness. This judgement and imposition of value on to what is going on is where organizations can get trapped.
In complex systems, the meaning of information may change rapidly and is likely uncertainty. The wisdom of experience, shared among others contemplating the same information without judgement, allows for a sensemaking process to unfold that does not impose limitations, yet also keeps a focus on what is going on moment-to-moment. Gathering this data, moment-to-moment, is what developmental evaluation with its emphasis on real-time data collection seeks to do and can serve as a valuable tool for organizing data to allow for a mindful contemplative inquiry into it that will illuminate weak signals.
Creating an organizational culture where open sharing, questioning, experimentation, and attention to the adjacent possibles that come from the data and experiences from operations is the foundation for a mindful organization. This means slowing down, valuing non-doing instead of the constant push to action, cultivating contemplative inquiry and reflection, while also being clear about the directions that matter. Thus, strategy in this case is not divorced from mindfulness, rather it gently frames a directionality of effort. In doing so, it creates possibilities for innovation, attention to quality, and a mechanism for building resiliency within organizations and those working with them and within them.
In creating these mindful systems we move closer to making sense of complexity and better prepare ourselves for social innovation.
Image Saddha by gnosis1211 from Deviant Art used under Creative Commons Licence
The Ideology of Scaling Social Innovations
Posted: August 24, 2012 Filed under: complexity, design thinking, innovation, social systems, systems science, systems thinking | Tags: Charles and Ray Eames, complexity, design, developmental design, efficiency, evaluation, ideology, Jamer Hunt, Janice Gross Stein, Power of 10, scalar variance, six sigma, social innovation 1 Comment »
Does it scale? That question is central to the discussion of social innovation, yet the answer to it might lead us to questions about why it is so important to us in the first place and answers that could surprise us.
“Does it scale?” or “how to we take [idea, product, service] to scale?” are commonly heard questions in social innovation circles; so much so that they are left unquestioned. The thinking behind these questions is that if something works well at one level (or scale) then taking it another scale larger and achieving a wider reach must be better. Who wouldn’t want to see the benefits of something that serves the needs of one population, community or user extended outward and upward?
This is a laudable utilitarian goal, but it is a deceptively problematic one when we look a little closer at what scaling something actually means in practice.
Conceptualizing Scale
Jamer Hunt, the Director of the MFA program in Transdisciplinary Design at the New School in New York, speaking at last year’s DMI Fall Conference (which is available to view for DMI members), looked at the issue of design scaling through the lens of complexity and pointed to some of the problems with ‘scaling design’ in varied contexts. One of the examples he suggested is that of an ant compared with a human being taking a shower. For humans, the shower’s droplets of water are fine bodies of liquid that perform a particular task of facilitating cleaning, but for an ant those same droplets are enormous orbs of potential death. Water doesn’t scale the same for a human and an ant even though it is the same substance at both levels and the shower is identical in its structure.
In physics this is called scalar variance. What works ideally for humans is terrible for ants even though we are speaking of the same substance, same planet, same context. Water (most notably, a shower of it) doesn’t scale well in this case.
Yet, there is this insatiable desire among those working in social innovation to “scale things up” and “bring our innovations to scale” (even if we have little concept of how that would look or — as I will discuss — what that really means). The adherence to scaling as an ideology in social innovation (and applied social science in general) is bordering on “four legs good, two legs better” territory.
The Cult of Efficiency
International affairs scholar Janice Gross Stein attributes some of this fascination with scaling to a cult of efficiency, a political ideology that assumes that we can always rationalize human services optimally. What she found is that efficiency is used falsely as a stand-in for accountability, particularly in fields like education. Far from being against striving for optimal use of scarce resources, Stein nonetheless concludes that efficiency in human systems doesn’t always scale (my phrase, not hers) and that bigger and faster is often not better. Anyone who has taken a lecture with hundreds of others knows the difference of scale in learning between that and a seminar of five to ten people.
Taking Jamer Hunt’s argument: Bigger is just bigger…and whether its better or not is dependent on whether you’re an ant, a human and need to come into contact with water.
Designing for Systems and Scale: The Powers of 10
Designers and systems thinkers probably know the movie “The Powers of 10” by legendary designers Charles and Ray Eames. It’s a fascinating short film that looks at the universe moving out from a human being into the cosmos and inward towards what would now be quarks and everything in between. It is perhaps the best example of scaling ever produced. Beyond its educational and entertainment value, the Powers of 10 provide an illustrative example of where striving for scaling social innovations could be foolish and where it could have potential.
When traveling through the universe it is easy to see scales that are self-similar, thus they share properties that make them optimally relatable. These forms are often fractal in nature (thus, they share the same properties at different scales like that of a snowflake). Imperfectly, certain scales in the Powers of 10 are close to self-similarity where one scale looks and shows behaviour similar to those adjacent to it. These are spaces where it may be possible to transport an innovation from one to the other to good effect. Others scales look radically different from one another, suggesting a mis-fit in the scalar variance.
This is an idea, not an empirical point as we have little research on scalar variance in social innovation. Scaling innovation makes greater sense when the social systems have similar structures and ‘shapes’ and less when they do not. It is why in organizational science, certain models of management and decision making transport well from setting to setting and others do not. It’s why we’ve seen quality improvement processes like Six Sigma achieve great success in certain industries and firms and spectacularly fail in others.
Rather than adhere to an ideology that imposes scaling as a goal, social innovators need to generate the kinds of intelligence about the systems they are operating in (or seeking to operate or expand into) before making plans for scaling a promising intervention or product. As funders and policymakers this means setting performance targets that are appropriate or, perhaps better yet, working developmentally with innovators to co-create the outcomes of interest and the measures and metrics used to determine scalability and appropriateness early in the design and implementation cycle.
Without best evidence (which is almost always lacking in social innovation by its very nature), setting performance targets related to scale a priori is foolish. For innovators themselves, equally foolish is not gathering the kind of information about the systems they are operating in to know if they are the human or the ant and whether a shower is on the way.
Jonah Lehrer and the Crisis of Knowledge Synthesis
Posted: August 22, 2012 Filed under: complexity, innovation, knowledge translation, psychology | Tags: complex adaptive systems, complexity, Jonah Lehrer, journalism, knowledge translation, Malcolm Gladwell, science, science writing, Steven Johnson, tipping point Comments Off
Jonah Lehrer is/was as big as it gets in science writing and two weeks ago proved the adage that the higher one climbs the farther the fall after admitting to some false content in his stories. This is bad news for him, but may be much worse for all of us interested in making science and innovation knowledge accessible for reasons that have as much to do with the audience as it does the message and messenger.
Jonah Lehrer was one of our most prolific and widely read science writers until he admitted fudging some quotes about Bob Dylan in his new book, Imagine, which looks at the process of discovery, creativity and innovation. The discovery by fellow journalist (and fervent Bob Dylan fan) Michael Moynihan set off a wave of reflections and investigations of Lehrer’s work revealing passages in the book (and other pieces) that had been reused from his other writings without proper self-attribution and sparking questions about the integrity of the author’s entire body of work. The “fall of Jonah Lehrer” was big news at a time when the London Olympics were dominating most of the media’s attention.
This case is a testament to the wide appeal that Lehrer’s work had beyond the usual ‘science geeks’ while illustrating the power of the internet to enable the kind of curation and investigation to support on and offline fact checking. But what it spoke to most for me is the role
The Writer and his Craft
Much digital type has been spent on the Lehrer incident. Search Google and you’ll find dozens of commentaries looking at how things transpired and how Lehrer ironically succumbed to the cognitive biases he wrote about.
Roxane Gay, writing in Salon, took a gendered approach to the issue and questioned whether our fascination is less with the science and more about the ‘young male genius’. Lehrer’s youth was something she saw as critical to amplifying the fascination with his work. She writes:
When young people display remarkable intelligence or creativity, we are instantly enamored. We want or need geniuses to show us the power and potential of the human mind and we’re so eager to find new people to bestow this title upon that the term and the concept have become quite diluted.
I agree with her on the point about our desire to over-inflate the accomplishments of youth (as if we are *amazed* that any of them could possibly do anything brilliant, which is as offensive to them and it is to older people), although a careful look at Lehrer’s articles and much of the press around his work suggests that he was much less a focus of the attention than his ideas.
John McQuaid‘s take on the affair in Forbes speaks to a larger issue:
Call it “Gladwellization.” It’s not just lucrative, but powerful: your ideas (or rather, the ideas you’ve turned into compelling anecdotes for a popular audience) can influence everything from editorial choices across the publishing world to corporate management and branding strategies.
But with this comes mounting demands to produce, and to recycle. You have to be prolific, churning out longer pieces that give your insights some ballast, and brilliant, bite-sized items. And yet you can’t be too new either: people want to hear what you’re already famous for. In this cauldron of congratulation and pressure for more and more, it’s not hard to see how standards might erode, how the “ideas” might become more important than doing the necessary due diligence to make sure they sync with reality.
‘Snappy Science’ and Synthesis
Innovation is about ‘new’ and there are good reasons why its a challenge to get the message out that this ‘new’ can be adapted, small, and unsexy and still make a large difference in the long run instead of big, bold and transformative right away. We are in an age of selling “snappy science” and it says more about the media and audiences than the authors and scientists producing the original work.
This snappy, bite-sized science might sell books and make for great TED talks, but it is a misrepresentation of what we actually know and do as scientists. Rarely does a single finding lead to a solution, rather it is an amalgam of discoveries small and large brought together that gets us to closer to answers. Synthesis is the driver of change and synthesis is what journalists do particularly well. Malcolm Gladwell, Steven Johnson and Jonah Lehrer are among the best synthesizers out there and I would imagine (no pun intended) that they contribute to more to public and professional understanding of social innovation than all of the original-sourced scientific knowledge on the subject combined.
When I hear Malcolm Gladwell cited as an original source in serious discussions with colleagues on scientific matters, I realize we have a problem…and an opportunity. Gladwell’s writings popularized the concept of tipping points, but his work is based on a wealth of scientific data on complex systems. They are not his original ideas, but they are his syntheses and (sometimes) his interpretations. This is important work and I am not taking anything from anyone who makes science data digestible and accessible, but it is not the original science.
That Jonah Lehrer is as well known as he is tells me that there is an appetite for science and I’ll freely admit to using his work (and that of the other authors I’ve mentioned) to inform what I do in a general sense. It is good work, however I also acknowledge that I have the scientific training to know how to go beyond the initial articles to critically appraise the information, place it in context, and I have the resources to go to the original sources in academic journals. Most people (professionals and lay people) do not. This access is going to decrease as resources shrink.
It is for this reason that synthetic work is so important. My Twitter feed often is filled with references to such synthetic work, rather than original works of research because I aim to fill role that is somewhere between journalism and the science of design, systems and psychology. I am not a pure science blogger, nor am I speaking to the lay public, but rather other professionals seeking to enrich their knowledge base. That is a role I’ve created for myself, largely because there is a high demand and low supply.
We have a need for synthesis and a demand for it, but little acknowledgement of the value of this role in professional scientific circles. Yet, when we leave journalists to do the work for us, we allow a different system to take charge. John McQuaid ended his article with this caution:
Book publishers don’t do fact-checks, so there’s no fail-safe, just the conscience of the writer. Reach that point, and all is lost.
Filling the gap, meeting a need and shooting the messenger
Journalists like Johnson, Gladwell and Lehrer fill a gap, which is why I am saddened by the loss of one of them and angry at what has transpired. While there is no doubt that Lehrer made mistakes, they were of a rather minor nature in the grand scheme of things. Synthetic work is designed to provide a big picture overview, not guide microscopic decisions. I would like people to read Lehrer and learn about the creative process and the role of neuroscience in making our lives better, to appreciate systems thinking and decision making because of Malcolm Gladwell, and see innovation, emergence and discovery in new ways because of writers like Steven Johnson.
Yet, when we seek more and more from these authors, we might get less and less. This is what happened to Jonah Lehrer. As more people found themselves drawn to his work, the pressure grew for doing more, faster and getting that ‘snappy science’ out the door. GOOD magazine in the ‘tyranny of the big idea‘ goes further:
The problem is that it’s unreasonable to expect that every new piece of media should upend conventional wisdom or deliver a profound new insight. To think that Jonah Lehrer could expose an amazing new facet of human psychology every week, in 1,000-odd words no less, is ludicrous. There are only so many compelling, counterintuitive, true ideas out there.
But the demand for them doesn’t abate. That’s why you see so many science writers talking about the same handful of studies (the Stanford prison experiment, the rubber hand illusion, Dunbar’s number, the marshmallow test) over and over. That’s why you see pop economists who should know better creating flimsy and irresponsible contrarian arguments about climate change for shock value. That’s why you get influential bloggers confessing they’re only 30 percent convinced of their own arguments but “you gotta write something.” That’s why the#slatepitches meme hits home.
Search Censemaking and you’ll find many of these topics not just because they are punchy, but because they are useful.
I hope we haven’t lost Jonah Lehrer as a voice just as I hope more people stop putting writers like him on a pedestal, where they don’t belong (nor do the scientists who produce the research). Synthesis is about bringing ideas together to produce innovative insights that often lead to bigger conversations about how to socially innovate. Synthesis is bigger than science, but dependent on it. It means paying attention to parts and wholes together and is the epitome of systems thinking in knowledge work.
It also means taking responsibility as knowledge producers and consumers and be wary of shooting the messengers while asking more from the messages they deliver.
Unless we are prepared to give people time to search, appraise and synthesize research on their own — and train them to make informed choices — the role of synthesizers – professional, journalistic, or otherwise – will become more important than ever.
Photo from Wikimedia Commons and is used under licence.
Marketing Metaphors of Meaning in Complexity
Posted: July 17, 2012 Filed under: behaviour change, complexity, marketing, systems thinking | Tags: Bruce Mau, complexity, Dave Snowden, design, design thinking, empathy, marketing, metaphor, narrative, public health, public policy, Rory Sutherland, storytelling, systems change, systems thinking, TED, tobacco control Comments Off
Metaphors and storytelling are ways to navigate through complex, inter-related ideas in a way that brings coherence and delight to them in narrative form. Stories are not just for children, but a serious tool for bringing complexity to life, making it accessible and usable to a world that can benefit from learning more about it.
Have you ever found yourself curled up in bed with a book that you can’t put down or found yourself up much later than you’d planned because of a TV program or movie you got caught up in? Ever have the same experience with a piece of academic writing? How about a technical report? I’ll bet the answer is yes to the former examples more than the latter (if there is a yes at all to the second two). Books — mostly, but not always, fiction books — magazine and newspaper, articles, poems and even blog posts thrive on a narrative that takes you a journey even if you don’t know the destination. That narrative, if its engaging, has consistency, a tone, a flow and a ‘texture’ that makes it enriching. It is perhaps the reason why so much scholarly writing is so dull: the texture is rather dry and lacks appeal.
Not all scientific articles require such appeal. Indeed, the standardized methods of reporting experiments can be very useful in interpreting results and deriving meaning from complicated interactions. Yet, this application of the standard model of writing from science to other areas is perhaps taking scholarly work to places it didn’t need to go. Or perhaps it is preventing us from going places we need to go.
In terms of complexity, one of those places it needs to go is into widespread discourse on public policy, health promotion, and social program planning. Storytelling and metaphors are one vehicle.
Making metaphors and embodied cognition
A recent Scientific American blog post by explored the role of metaphors in some depth, bringing attention to some of the early work of psycholinguist pioneers George Lakoff and Noam Chomsky in looking at the role of embodied cognition, a concept where a metaphor actually gets integrated into the body (literally or figuratively). In the column Samuel McNerny looks at the history of the idea and the use of metaphor, drawing on interviews, literature and recent research.
As Lakoff points out, metaphors are more than mere language and literary devices, they are conceptual in nature and represented physically in the brain. As a result, such metaphorical brain circuitry can affect behavior. For example, in a study done by Yale psychologist John Bargh, participants holding warm as opposed to cold cups of coffee were more likely to judge a confederate as trustworthy after only a brief interaction. Similarly, at the University of Toronto, “subjects were asked to remember a time when they were either socially accepted or socially snubbed. Those with warm memories of acceptance judged the room to be 5 degrees warmer on the average than those who remembered being coldly snubbed. Another effect of Affection Is Warmth.” This means that we both physically and literary “warm up” to people.
Metaphors like “warming up” are therefore representations of real phenomena that become figurative in certain scenarios. McNerny adds:
The last few years have seen many complementary studies, all of which are grounded in primary experiences:
• Thinking about the future caused participants to lean slightly forward whilethinking about the past caused participants to lean slightly backwards. Future is Ahead
• Squeezing a soft ball influenced subjects to perceive gender neutral faces as female while squeezing a hard ball influenced subjects to perceive gender neutral faces as male. Female is Soft
• Those who held heavier clipboards judged currencies to be more valuable and their opinions and leaders to be more important. Important is Heavy.
• Subjects asked to think about a moral transgression like adultery or cheating on a test were more likely to request an antiseptic cloth after the experiment than those who had thought about good deeds. Morality is Purity
The challenge for complexity in social life is coming up with the right metaphor and finding one that is embodied within the systems we seek to influence.
Telling systems stories
One of the best examples of the use of storytelling and metaphors to explain complexity comes from Dave Snowden of Cognitive Edge with his humourous, insightful look at order and the art of organizing a children’s party.
What Snowden does is anchor something new (complexity) in a familiar frame of reference (a children’s party). While this is not something that directly translates to how we operate social organizations such as “warming up” does to explain relations between people, it offers something close.
Anchoring the novel in the familiar. Childhood is the one universal we adults all share. Travel the globe and watch children interact and you’ll see patterns repeated everywhere. Emotion is another universal: joy, fear, anger, contentment, curiosity, and such are all platforms that can be used to create and share stories about our world. For those of us working in communities, we need to understand what universals exist in those realms. This means paying deep attention to the systems we are a part of.
In short: systems thinkers may need to be participant observers to the systems they wish to influence and learn about the big and small things that drive them.
As systems are large, complicated and complex, it is unreasonable and perhaps impossible to know everything necessary to successfully navigate through it and maneuver the leverage points necessary to create responsible, sustained systems change. To do so, we need to enlist others and that means getting complexity into the minds of many operating in the system and not just a few ‘systems thinkers’.
We need to get better at telling stories and marketing metaphors of meaning.
Learning storytelling from marketers
Marketing is largely about identity and stories about identity. Marketers want to influence what you do (choose, use, purchase, etc..) and how you experience what you do when you do it. To do this, they know the importance of design and the stories to accompany that design. Design, when done well, is partly about creating empathy with those who are to benefit from the products of design and the best products out there are ones that apply empathy and guide behaviour at the same time. Steve Jobs and his design team led by Jonathan Ive were (are) famous for doing this at Apple.
In an earlier post I mentioned the work of Rory Sutherland and his discussion of tobacco use as an illustration of the ways in which failing to empathize with a product user’s life can change the impact of policies and programs aimed to improve it. The case (made in the video below) is that there are some real, tangible benefits to smoking that get ignored when we aim to snuff it out (bad pun intended). For public health to enhance its effectiveness, we need to pay attention to these benefits and find ways for people to derive them in healthier contexts.
But listen to what Sutherland says not only here, but in another of his TED talks he points to ways in which small changes can have enormous consequences if done in a systems-forward manner (my term, not his).
What Sutherland does is not just provide good ideas, but tells good stories. Like Dave Snowden, he captures our interest and makes us want to think about concepts like behavioural economics and marketing just as Snowden inspires thinking about the differences between order and chaos.
Not all of us can be great storytellers or funnymen (and women), but we need to take this seriously if we wish to use complexity and systems thinking to advance change in our world purposefully, because massive change is happening whether we want it or not. The key is whether we will be telling stories in the future of how we helped shepherd change that helped us be more resilient and thrive or let these forces shape us in ways that caused unnecessary problems. It is, as Bruce Mau said, not about the world of design, but the design of the world.
Complexity and the Senseless Marketing of the Future
Posted: July 16, 2012 Filed under: complexity, systems science, systems thinking | Tags: climate change, complex adaptive systems, complexity, environment, FastCoExist, foresight, futurists, innovation, marketing, marketing complexity, mindfulness, networks, Pareto distribution, resilience, simplicity, social networks, systems thinking Comments Off
Futurists take what we know now and project into the future ideas about things will be like years from today using the models that have worked consistently up to now. Those models applied to human systems are changing quickly making marketing the future based on them senseless and potentially dangerous.
Earlier this past week a post on FastCoExist caught my attention and brought to mind why I have such an uneasy relationship with futurists and futures as a field. The post, 8 Ways the World Will Change in 2052, is look at the next 40 years written by Jorgen Randers, a professor of climate strategy at the BI Norwegian Business School and written with all the confident swagger that typifies futurists making statements about what is to come. After all, it’s hard to draw an audience (and the benefits that comes with that) when you don’t have a confident answer on your subject matter — even if that answer is wrong. In this latest post in the series on marketing complexity I look at futurists and their predictions and what it could mean for making sense of the threats and opportunities we will face in the years to come.
The Mathematical Problem of Futures and Complexity
The FastCoExist article paints a picture of a world that looks a lot like the one we have today, just with some shifts in economic and social structures. It suggests that much will remain the same even though a few key things will change, but our general relations will remain constant. It is that consistency that raises my concerns about futurist thinking (not all, to be sure) and its use of the data today to make predictions tomorrow. There is an assumption of linearity that weaves its way through the narratives spun by futurists that do not fit with how complex systems behave, nor does it account for the network effects created by interconnected systems.
Where I live now (Toronto), we have seen an almost uninterrupted heat wave for more than three weeks and that is forecast to continue for the week to come. This is the hottest year in recorded history (video), and as this short news clip shows the implications are many. At our current level of focus the implications may seem slight: changing growing conditions for gardens, better cottage swimming weather, brown lawns etc.. But at another scale and perspective, the interconnections between these things will start to reveal themselves if the pattern continues.
It is here where I see futurists getting it wrong as their predicts rest on largely linear trajectories of change and scientific knowledge that uses linear models to create predictions. The mistake is taking linear phenomenon and grafting that knowledge on to complex cases, while another mistake is taking science that works for static things and applying it to dynamic objects.
Complexity often produces change curves that follow a Pareto distribution, which is a way of accounting for things like ‘tipping points’, and is rarely linear in its effects for long periods of time. As the news report mentions, Toronto has an average temperature of 3.5 degrees higher than normal in a single year. It could be an aberration, but when we see record-breaking temperatures for years on end that looks like a pattern forming.
Climate change is not just about things getting warmer, cooler, wetter or dryer. From a human standpoint, how we adapt to these changes is what counts and in a networked world is that adaptations happen simultaneously and in a dynamic, interconnected manner. That means that many things change at the same time and that the relationship between dynamic objects means that the overall quantity and rate of change in the system is likely to be logarithmic (exponential) not additive.
Reframing change models: the language of complex systems.
If we are to create models that are more useful to us, we need to develop them with complexity in mind, think in systems and act as designers. To do this requires a change in the thinking models we use and the ways we communicate these models to the wider world. Yet, it isn’t as alien as it seems; we do it all the time with ourselves in explaining our social lives.
- A child goes from being peaceful and quiet to a tantrum in a matter of seconds.
- A calm, composed individual bursts into tears at a seemingly random event.
- A polite, warm conversation quickly turns cold at the slightest mention of a particular phenomenon
In many of these cases the ’cause’ might not be obvious. An example I use with my students is this:
Imagine a couple in their bedroom and one partner sees a wayward sock that has been left on floor and gets intensely angry at the other partner upon discovery of the sock. Why? Is is that the sock on the floor is so problematic that it reduces an otherwise peaceful environment into a space of conflict? Is the sock really that bad? Or is the sock a catalyst for something else? Does it represent something (or many things) that are embodied in the sock being left carelessly on the floor? Does the sock serve as a vessel for accumulated grievances and stressors only loosely related to its position on the floor?
This example of the sock illustrates how a Pareto distribution of social tensions in a relationship could be expressed. It points to how the most ‘obvious’ linear answer might not always be the case even if initial appearance suggest a relationship.
Explaining the reasons for problems opens a door to solving them. But we can do more.
The power of weak signals
The way to interject into a complex system is not to pay attention to everything all of the time, but to small things that show patterns. Eric Berlow has a remarkable 3 minute TED talk that illustrates how signals can be extracted from networks to reveal simplicity in complexity. A 2008 paper in the journal Physical Review shows the ways in which weak signals can be detected by reducing the overall volume of information or nodes in a network.
But what to pay attention to? This is where mindful evaluation and attention comes in. Mindfulness is not just a way to connect to one’s inner life, but also the outer world around us. A mindful approach to monitoring and evaluation means watching what happens around us and positioning tools, metrics and data gathering processes to give us the necessary feedback on our systems around us. To take the example of the couple’s conflict over the sock, paying attention within the relationship to minor conflicts, areas of tention, and moments of release earlier could have diffused energy enough to mean the sock was just a sock.
In social systems, this means paying attention to areas of intersection where natural tensions occur due to difference. These differences could be perspective, attitude, knowledge, beliefs or capabilities. These points of intersection are often where novelty emerges and innovation takes place, but they are also where deeper problems can begin. Constant, evolving and dynamic methods of data collection that recognizes change in non-linear and linear forms is more likely to enable the sorts of weak signal detection that can help us see the future more clearly.
That can help us make sense of future possibilities, rather than make empty predictions that guide what we do now at the expense of paying attention to what might come (and what is really happening).
Marketing the Narrative of Complexity
Posted: July 6, 2012 Filed under: complexity, systems thinking | Tags: complex adaptive systems, complexity, data visualization, design fiction, Dr. McCoy, fiction, health, healthcare, marketing, narrative, science, science fiction, Star Trek, storytelling, technology, tricorder, weather, wellbeing Comments Off
Complexity, by its very nature, is not a simple concept to communicate, yet it is increasingly becoming one that will define our times and may be the key to ensuring human survival and wellbeing in the years to come. If society is to respond to complex challenges the meaning of complexity needs to be communicated to the world in a manner that is understandable to a wide audience. This is the first in a series of posts that are looking at the concept of complexity and the challenges and opportunities with marketing it to the world.
Across North America this week the temperatures are vastly exceeding normal levels into ranges more akin to places like India or East Africa. The climate is changing and regardless of what the causes are the complexities that this introduces require changes in our thinking and actions or human health and wellbeing will be at risk. To follow Einstein’s famous quote:
“We can’t solve problems by using the same kind of thinking we used when we created them”
Many U.S. States are suffering hurricane-like after-effects from a Derecho that hit last week, knocking out power at a time when temperatures are into the high 90′s and low 100′s. Derechos are rapid moving hot air systems that are difficult to predict and can only be anticipated under certain conditions. The heat wave combined with the lack of air conditioning and supplies left 13 dead, maybe more. The heat wave is continuing and is expected to last throughout the weekend.
But this post is not really about the weather, but the challenges with complexity that it represents and how we need to be better understanding what complexity is and how to work with it if we are to survive and thrive in the years to come.
Blog interrupted
It’s ironic that this post was delayed by blackout. I live in Toronto, Canada and we have a remarkably stable power supply, yet last night and through this morning I was without power due to suspected overheated circuits attributed to high air conditioning use, shutting down my Internet and everything else with it. In many parts of the world, this kind of blackout is commonplace and a fact of daily living, but not here…yet. This fortuitous bit of timing illustrates the fragility of many of our systems given the reliance on power to fuel much of what we do (e.g., cooking, food storage, Internet, traffic signals, lighting, etc..).
Virtually all of the infrastructure of modern life (here and increasingly globally) is tied to electricity. If you’re interested in imagining what would happen if it all shuts off, I’d highly recommend reading The World Without Us by Alan Weisman. Weisman uses a complexity scientist and futurists’ tool called a thought experiment to craft a book about what New York City would look like if humans suddenly disappeared. The book illustrates how nature might take over, how the underground subways would flood and collapse because of the millions of litres of water needed to be pumped out of it each day, and how certain human-built structures would decay over time (some far faster than we might hope).
Thought experiments take data from things that have happened already, theories, and conjecture and project scenarios into the future based on the amalgam of these. It provides some grounded means of anticipating possible futures to guide present action.
From present delays to future/tense
The Guardian asked a number of scientists working on climate about whether this current spate of extreme weather events is attributable to global warming. The scientists offered a range of answers that (not surprisingly) lacked a definitive statement around cause-and-effect, yet the comments hint at a deep concern. These anomalous conditions are starting to move further towards the end of the normal curve, meaning that they are becoming less statistically plausible to be caused by chance. What this means for the weather, for climate, for our economies is not known; all we have is thought experiments and scenarios. But the future is coming and we may want to be prepared by helping create one we want, not just one we get.
Unfortunately, we cannot wait for the data to confirm that global warming is happening or determine that we are contributing to it and to what degree. This is not just a weather issue; the same situation is playing itself out with issues worldwide ranging from healthcare funding to immigration policies and migration patterns. Interconnected, interdependent and diverse agents and information forms are interacting to create, emergent patterns of activity.
It is for this reason that weather patterns — despite being one of the most monitored and studied phenomenon — can’t be accurately predicted outside of a few hours in advance, if at all. There is too much information coming together between air flows, humidity, land forms, physical structure and human intervention (e.g., airplane contrails) interacting simultaneously in a dynamic manner to create a reliable model of the data. David Orrell’s book Apollo’s Arrow is a terrific read if you want to understand complexity in relation to weather (and more) or see his talk at TEDX on YouTube.
Two’s company, three’s complexity (and other analogies)
The above heading is taken from a title of another book on complexity and tries to simply point to how adding just a little bit of information (another person to a conversation perhaps) can radically alter the experience from being simple or complicated to complex. Just thinking about planning a night out with two people vs. three and you’ll know a little of what this means.
Analogies and metaphors are ways in which complexity scholars commonly seek to convey how the differences in conditions represent varying states of order. Brenda Zimmerman and others write about putting a rocket to the moon as being complicated and raising a child as being complex. One of my favourites is Dave Snowden‘s video on How to Organize a Children’s Party. One of the reasons we resort to analogies is that we need a narrative that fits with their experience. All of us were children and some of us have had them as parents so we can relate to Zimmerman and Snowden’s ideas because we’ve experienced it firsthand.
We haven’t experienced anything like what is anticipated from global warming. In the Americas, parts of Europe and Asia we are enormously fortunate to have entire generations that don’t know what it’s like to be hungry, have no healthcare, be without electricity, or have no access to safe water and proper sanitations. Stories about children’s parties might not bring these scenarios home. It is why Weisman’s book is so clever: it makes a plausible scenario fiction.
Science fact as science fiction
The role of fiction might be the key to opening the marketing vault to complexity. Scott Smith and others have been exploring how the use of science fiction helped pave the way for some of today’s modern technologies and innovations. By weaving together fantasy narratives and imaginations on the future, technologists have managed to re-create these tools for current life. Witness the Tricorder Project that seeks to develop the same multifunction health and information tool used by Dr. McCoy on Star Trek.
We are making headway with complex information as witnessed by the popularity of infographics and data visualizations. But there is much more to be done.
Complex problems require complex solutions. Artists, designers, scientists, marketers, journalists and anyone who can communicate well can play a role. Making complexity something that people not only know about, but want to know about is the task at hand. In doing so, we may find people reaching for and advocating for complex solutions rather than stop-gap, band-aid ones like buying a car with better fuel economy as the main strategy to combat carbon emissions.
It’s been done before. Marshall McLuhan wrote about esoteric, yet remarkably insightful and complex topics and became a household name in part to his appearance in Woody Allen‘s Annie Hall. Our media landscape is far more complex now (no pun intended) to think that a single appearance of any complexity superstar (if one existed) would change public perception of the topic in the same way that McLuhan’s did for his theories on media. Yet, Al Gore’s An Inconvenient Truth might have done more to get people talking about the environment than anything. And while Gore is not known for his witty storytelling, his slide show did a good job.
To begin our journey of marketing complexity we need to come up with our stories so that we can tell ones that are pleasant, rather than the ones that are less so. And if you want one that fits this latter category, I strongly recommend reading Gwynn Dyer’s chilling Climate Wars. Instead, let’s get closer to living what Peter Diamandis and Steven Kotler write about in Abundance.
The future is ours to write.
For more books and resources on complexity, check out the library page on Censemaking.
Empathy: The Ultimate Design + Systems Challenge
Posted: July 1, 2012 Filed under: art & design, complexity, design thinking, psychology, social systems, systems thinking | Tags: complexity, contemplative inquiry, design, design thinking, empathy, mapping, mindfulness, perspective taking, psychology. social psychology, social determinants of health, social justice, systems thinking, visual thinking, visualization 4 Comments »
Empathy is a central feature of good human-centred design, yet is often practiced narrowly. Visualization with systems thinking and mindfulness are three additional features that can transform empathy from a simple tool to a vehicle for transformation by connecting us less to absolute problems and more to relative ones.
In today’s Globe and Mail newspaper online, the oft controversial columnist Margaret Wente offered an op-ed piece called I have ‘white people’s problems,’ and you probably do too. The column refers to an article in The Atlantic by Anne-Marie Slaughter looking at how women today still struggle to be successful at work, family and personal life simultaneously. Both Wente and Slaughter take pains to point out that they lead privilidged lives, yet that privilige does not shield them from experiencing social problems in a way that is both unique to their situation and widely shared by women across the social spectrum.
A read of the comments for both articles shows how much of a hot-button issue this is for people (Wente’s article had more than 700 comments within hours of being uploaded) and includes much discussion of the racist/non-racist/classist over and undertones to the content and topic. It might be tempting to rush in and judge these two articles for dwelling on the pains of a privileged few in light of problems of poverty, food insecurity, safety, sexual and gender-based violence, and absence of healthcare experienced by the greater number of people on this earth.
Yet, if we look at the issues as they are with less judgement we can see the reaction to these articles less as a battle of ideas, but an unconscious attack on empathy. There is this perverse pleasure for some in pointing out the arrogance, ignorance, or neglectfulness in others, but such criticism (sometimes falsely veiled as critique or critical thinking) often fails to deeply connect to empathy beyond the pale. How then do we promote empathy in such conditions?
Perspective Taking: It’s (Relative) Promise and Perils
As Micheal Marmot and others have shown consistently with evidence is that relative inequities, inequalities and health disparities are as significant or more so than absolute ones. Whatever challenges you face they are exacerbated by how you see yourself in relative position to those who deem closest to you. Saying: “it could be worse” works when you see your peers as worse off than you or your equal, but it doesn’t work as well when you’re surrounded by people you perceive to be in better shape. Thus, we have an issue that is both absolute and relative based on real and perceptive differences working simultaneously. In the case of Wente and Slaughter’s articles, most of us (the 95-99% not represented in these perspectives) see them to be in better shape and that has consequences for us and them.
Peter Coleman and faculty at the International Project on Conflict and Complexity have looked at how relative position and empathy fit together in the context of peace-building and mediation and have found that there are spaces where taking into account the lives of others can increase conflict, not dampen it. Of the many examples cited in their work (including Coleman’s recent book) is a decade-long initiative to build bridges between anti-abortion and pro-life advocates in the Boston area and how efforts to build empathy between these two foes often served to antagonize and create bigger gaps in position rather than closing them. These problems, often seen as intractable, represent about 5% of all the ones we face, but their effect is enormous.
Recent studies in social psychology have confirmed that bridge building requires more than just seeing the other side, it requires being heard (PDF – Bruneau & Saxe (2012), Journal of Experimental Social Psychology). A study by Kraus and colleagues (PDF) found that social distance can have an impact on the way that people empathize and the conclusions that they draw when trying to place themselves in the position of others.
Your Grief is Not the Same as My Grief
The above heading comes from a statement uttered in a group counselling context and has forever stuck in my head. It recognizes that we all experience things in a unique way, yet it was uttered in a spirit that suggests we can still come to share that experience in a manner that can build solidarity and connection.
This points to the ultimate design challenge: creating greater connection through empathy without widening social distance.
One might think this would be easier given that empathy is one of the principle tools of design, yet my experience suggests that designers might be more apt to identify this as important and have strategies to get to it, there is still much to be done. But as we all design for ourselves and some of us for others, imagining another’s perspective requires understanding both that another perspective exists and where in relation that perspective sits to your own. It is here that we need more than an empathic lens or a design lens, but a systems lens as well.
Visualization: Placing Empathy
Systems thinking provides cognitive tools for understanding entire domains and the relationships within it. Systems mapping takes these ideas and makes them visual by providing an architecture for that understanding. Visualization provides the means to connect these two worlds by providing a design sensibility with a systems perspective. The figure below illustrates this position.
Mapping the positions held or visualizing them allows an idea to be represented in a manner that invites dialogue and open comparison. Rather than keeping one’s perspective locked within their own mind, a visual representation allows both the individual and those who they seek (or we seek) to build empathy with the tools to better frame the position each holds relative to one another. Doing so goes beyond imagining what it would be like to walk in anothers’ shoes and actually sees it and allows us to test assumptions.
From here, a contemplative approach to inquiry based on mindfulness can allow people to sit — literally or figuratively — with this data and envision the positions in new ways. Contemplating the meaning of what a particular perspective holds can enable a perspective taking that goes beyond seeing this head on and perhaps sees it from above, below, behind or inside and gets us away from our forward orientation bias.
By redefining the space in which the problem exists by literally creating that space on the page or screen we can better see beyond our current position to imagine how things previously deemed impossible might exist. Returning to the original example, this means seeing that one can hold much privilege and social advantage and experience the world in a manner that feels as violated, limiting and stressful as someone of lesser absolute means. It can also facilitate the reverse perspective. In doing so, this type of visualizing + empathy + contemplative inquiry has the means to take away much of the judgement and see things as they are without reducing or amplifying problems beyond their current context.
In doing so, perhaps we can better see us all as interconnected members of a system with pains and hurts and joys and skills rather than devote more energy that is necessary to judging others and less on making lives better for everyone.
