Intro to Social System Mapping
Articles
sumApp Overview
If you’d like a little orientation to sumApp, this 57 second video should help!
yes (sumApp has been significantly updated since this video was made but we still think it will give you a good sense of what’s going on, and you can probably translate what you see in the video to the current platform.)
Why think about each phase separately?
🌱 Start Small, Stay Curious: The Cycle of Learning in Social System Mapping
⚠️ The Risk of Front-Loading
Yes, you can plow through the entire mapping process as if it’s one big, linear project with a single final deliverable — like “a map” or “an analysis.”
But if you go that route, you’ll need to finalize your vision, technical setup, and sensemaking views all up front. You’ll only get one shot at each step.
And that defeats — or at least confuses — one of the core purposes of Social System Mapping:
To engage in an emergent process of learning and discovery, together.
Even more importantly: you’re not ready to finalize anything up front yet.
Your network can’t fully see what this is yet — and no matter how much you might wish otherwise, you can’t see it for them.
As they begin to see into the process, you will start to see it differently too.
Everyone’s understanding evolves. That’s part of the point.
I’ve participated in several projects that ultimately fell short because they began with too much ambition, aimed in the wrong direction. Not because they failed to produce a product — but because that product missed the mark. It didn’t connect. It didn’t engage. It didn’t become alive within the network.
🌀 Begin with a Gentle Prototype
So: don’t get too far ahead of yourself.
Instead, start with a quick walk-through of all three phases — Envisioning, Mapping, and SenseMaking.
Keep it simple. Just a small handful of people with a high tolerance for experimentation. Treat it like an emergent prototype. The goal isn’t polish — it’s orientation.
Use this round to:
- Get your feet wet
- Learn the tools
- Start to imagine what this will feel like from the perspective of someone who knows nothing about mapping
This small, simple start will give you more clarity and confidence — and prepare you to facilitate a broader, more inclusive envisioning process later.
🔁 The Value of Repeating the Cycle
After that first rough cycle, come back to the Knowledge Base.
It will start to make more sense now that you’ve had a full-body experience of what the work feels like.
Then run another cycle.
Still small, but a little deeper.
- Test a few new survey questions
- Involve a few more people
- Use what you’ve created so far to spark conversation
- Ask:
- What’s missing?
- What else could we be gathering?
- How does this land with people on the map?
- How about those who aren’t yet on it?
This second round of prototyping opens up a new level of insight.
Now you’re not just making a map — you’re beginning to think together in a new way.
You’re beginning to ask:
- What does it mean to visualize our connections — both actual and potential?
- How do we learn to think systemically, as a group?
- How do we use this new visual language to have conversations we couldn’t otherwise have?
⛔ The Illusion of “Done”
Another risk of front-loading is the belief that once the map is built, it’s “done” — like a website you can launch and walk away from.
But it doesn’t work like that.
People won’t use the map until they’ve learned its language — until it means something to them.
Think about how you learned to read.
You didn’t start with an encyclopedia and a couple of lessons.
You started with baby books — a few words at a time, with someone by your side, and lots of repetition.
Offer your network that same kindness.
Start where people are.
Not one step beyond that.
🌿 Readiness Is Relative
If your group already knows this visual language, and people are energized to wordsmith the survey and dive into a big collective process — wonderful. Begin there.
But if not — just take baby steps.
Cycle through the phases more times.
Start small, then deepen. Iterate. Let the process evolve with your network’s readiness.
And know this: no matter where you start, it never really ends.
You just continue spiraling deeper into collective awareness as the map morphs and matures.
🤝 When to Reach Out
Once you’ve moved through a couple of cycles, that’s a great time to begin engaging with the broader mapping community:
- Join on-ramp sessions
- Participate in community forums
- Share what you’ve learned
- Ask questions
- Spark conversations about where to go next
Mapping can be lonely if you try to do it in isolation. But there’s a network of mappers who’ve been where you are — and who want to think with you.
🧠 Why the Phases Matter
These three phases — Envisioning, Mapping, SenseMaking — aren’t rigid steps.
They’re overlapping. Iterative.
They blur into each other and cycle endlessly.
But they also require different mindsets. Different activities.
Which means it’s helpful to think about which phase you’re in — so you can tend it more thoughtfully.
Let’s say you’ve already built a prototype and done some initial sensemaking. You’re starting to notice patterns. That’s great.
But this is also a good moment to go back to the beginning.
Start fresh.
Put on your beginner’s mind and ask:
- What haven’t we mapped yet?
- What don’t we know?
- What’s still outside the frame?
🔍 Deepening Through Each Phase
Envisioning
Look again, with new eyes. Are there systemic dynamics your network is trying to impact that the current map doesn’t yet capture? Can you find ways to visualize those?
Mapping
Explore new possibilities in the tools.
What haven’t you used yet in sumApp or Kumu?
Could your views tell a different story?
Are there features waiting to be unlocked?
SenseMaking
Is the current map surfacing what your network needs to see?
Are you seeing what is — or beginning to ask about what could be?
Each round opens a new layer of depth.
Each cycle creates new possibilities.
And the invitation remains the same:
Start where you are. Stay curious. And keep going
The Three General Phases
🌀Three Phases, One Living Cycle
There are no hard and fast absolutes about the process of Social System Mapping. As you proceed, your network will naturally constrain, re-frame, and co-generate its own path to your collectively-desired end-point. And you should invite that — because without the community’s ultimate ownership, the map won’t live up to its greatest potential for guiding and giving insight to your network.
Still — without at least a little planning ahead, the project can quickly spin out of control, or just as easily grind to a halt. I don’t want that to happen to you, so I offer up our experience as a starting point. Consider what follows as a place to begin thinking about the process — based on experience across many different contexts. But know that it’s only a beginning. You should indulge your creative impulses. Make it your own.
The phases outlined here could easily be sub-divided, collapsed, blended. There’s overlap. Circling back. Fuzziness. I wouldn’t advise over-thinking it — because whatever you imagine at the beginning, the process will take you somewhere different.
So — jump in.
Start where the people are.
Do what you can.
Then go back, revisit, deepen.
Iterate. Iterate. Iterate.
Let it emerge.
Having said all that — here’s how I think about the three core phases:
🔭 Envisioning
This is everything that happens to get a project underway — before there’s anything meaningful to look at. If a map doesn’t yet exist for a specific group and you want to help that group make one, you’re in the Envisioning phase. You’re wearing the Visionary Hat.
Your imagination is engaged with what could exist — but you can’t build it alone. Social System Mapping is inherently collaborative.
This is the time to invite others in, gather clarity about purpose, and begin sensing what kind of map your network needs — and why. It’s also where the Storytelling Hat first appears: helping name what called the map into being, and weaving a narrative that others can connect with.
🛠 Mapping
Mapping, in this context, means everything related to the online interfaces — sumApp setup and administration, Kumu setup and view design, the data-flow work needed to get information from sumApp into Kumu, and whatever interface choices you make to share the map with your community.
If your questions fall into this category, you’re probably wearing the Technician Hat — the one focused on structure, clarity, and function.
Storytelling continues here too — helping make the technical choices legible, the design intentional, and the process inviting. Sometimes that’s a simple framing sentence in an email; sometimes it’s a metaphor that helps your team stay oriented in complexity.
🧠 SenseMaking
SenseMaking is what you do with the map. It’s the reason you built it in the first place — the process of using it to gain insight, reflect, learn, and support action.
This phase includes:
Exploring the map with community members
Connecting the visual to lived experience
Asking good questions together
Embedding the map in network practices and rhythms
Helping others use it to meet their own goals
If your imagination lights up here — or this is when your energy kicks in — you’re likely wearing the SenseMaker Hat.
And again, the Storytelling Hat is present — helping distill insights, surface tensions, highlight patterns, and communicate meaning across different audiences. The story becomes a bridge between the map and the movement.
🔁 It’s Not a Line — It’s a Cycle
SenseMaking doesn’t end the process — it feeds the next round.
When you’ve worked with the map, you start to see its limits. You discover new questions. New needs. New clarity. And that awareness brings you back around to the Envisioning phase — this time with deeper grounding, better questions, and more collaborators.
Social System Mapping is not a linear project — it’s a living cycle.
Each pass through the phases brings more coherence.
Each iteration reveals what the system is becoming.
And the Storytelling Hat?
Worn all the way through.
Let me know if you’d like this version dropped into a shared doc for easy editing, or if you’d like to pair it with a visual representation of the cycle.
Why think about each phase separately?
What is Social System Mapping?
Social System Mapping is an expanded version of Network Mapping that is emerging from the increased functionality of the combination of sumApp and Kumu.
It’s a mash-up of system mapping, social network mapping, asset mapping, stakeholder mapping and more.
Human beings and their own self-reporting are at the core of Social System Mapping, but at the same time – the social network is not isolated from the systemic forces that the humans in the system impact and are impacted by, and the systemic forces in the system are not de-personalized. It’s humans, relationships, systemic forces – all together.
Learn more from this 17 minute video:
Social System Mapping is one genre of the new visual language that is developing out of the intersection of data-visualization, network science and systems thinking. We hope it can become a tool as useful to understanding and engaging with the invisible dynamics of human networks and systems, as geographical mapping is to understanding and navigating the physical world.
And THAT will require a whole lot of us to learn, use, and then teach the new language.We invite you to be part of that discovery process!
The Purpose of Social System Mapping
Social system mapping (SSM) is a new mapping practice that can present on the surface a sloppy mash-up of better-established and more-well-groomed methodologies.
It was not pre-conceived, pre-defined, pre-justified & pre-proven. Rather, it is emerging from the interaction between what Tim & I were interested in working on – the problems we wanted to solve for – and a growing number of mappers’ and network leader’s intuitions, imaginations, and need to understand the contexts in which they act and lead more clearly.
Because it’s new, because it’s un-anticipated and emergent, it has taken awhile to articulate what ‘it’ is and why we, and others, are doing it. But now it has come along far enough that we can clarify that ‘this’ is NOT ‘that’. We can define what ‘this’ is and why. And explain why it needs a name of it’s own.
Step back into the story of geographical maps
In order to frame and add clarity to what social system mapping is, we need to be clear that we’re at the very beginning of a story. It doesn’t help us to sense our way forward through the possible if we expect to have already arrived.
So let’s take a step back in time and contemplate the story of geographical maps, because geo-maps are a powerful corollary.
Once upon a time, most people didn’t use visual diagrams showing the relative placement of one place to another place, or a path between them. At best, someone drew some lines in the sand if they needed to communicate where they went, where something was, or how to get somewhere. Then, I’m guessing, some travelers started making crude drawings on papyrus or something. To share it, they had to explain what the lines meant, because w/o the explanation, the map was useless. Over time, the maps got more accurate – they took more things into account, they adopted symbolic norms making them easier to read, they were more than lines with starting and ending points. They grew infinitely more sophisticated and packed with data.
In the early years, it was mostly the guys in power who could read & make use of these maps. The captain of the ship, the general of the army, the merchant leading their servants and camels packed with wares to the next marketplace, the advisors to the throne.
If you put a map in front of the general population, they’d shrug & say ‘so what?’ – they wouldn’t recognize the knowledge and power a map could give them. But over time, even the general population began to see their value and learn to read them. In other words, geographical maps have evolved. They’re a tool that both reflects the current knowledge about geographical reality, informs more learning about that reality, and then reflects the new knowledge back.
But none of that just happened. Wide-spread use of geo-maps didn’t occur just because someone made a map – they began as the purview of an elite few. And the sophisticated and information-rich geo-maps we have today started out as crude and simple efforts to communicate what could be not communicated by any other means. There was a necessary feedback loop of increasing understanding that required humans to apply their intelligence and then to engage with what was reflected back to them – and over time, a rich and powerful visual language emerged.
That new visual language is different from written & spoken language, because it’s not linear. Different because it summarizes a ton of data as well as many types of data (infrastructural, political, topological, atmospheric, agricultural, etc.) into quickly-understandable symbolic elements. Different because humans are visual, so what we see stays with us longer and speaks to us more deeply. A good geographical map shows us things about our world that we literally can’t see in any other way.
Language shapes thinking
And as any second-language-learner can attest – language shapes our thinking. We understand and engage reality differently, depending on which language we’re speaking. And we wouldn’t be the global citizens we are today (for better and for worse) without the historical evolution of geographical maps.
The geo-map language gave us understanding and it gave us norms. And as a feedback loop, it inforces and asserts the version of reality that it has taught us to see. If all we needed to navigate and thrive was a well-developed knowledge of physical location, we’d be all set. But the world view we’ve inherited has proven inadequate to the litany of challenges we currently face. We need new ways of understanding and communicating about and navigating through new aspects of reality that we’re only beginning to understand.
Systems Thinking Instigates A New World View
Systems thinking has taught us about complexity, interconnectedness, dynamical change – all things we need to understand and see if we want to help make the world a better place. But we can’t represent any of those things in a geographical map. Systems thinking has shown us that what controls our reality is mostly hidden under the surface, invisible (tho not absolutely unknowable). We’ve learned that the world view (our mental models, beliefs, values and emotions) we bring to our actions has powerful impact, and that the world view we’ve inherited (through no fault of our own) is extremely problematic. Systems thinking pioneer Donella Meadows said the greatest leverage point in shifting a system is in shifting the paradigm that informs the system.
Systems thinking has taught us: our old Cartesian understanding of reality has helped us create the litany of problems we face; applying systems thinking is crucial to solving those problems; and a network approach is how we need to structure the work.
But changing how we think and how we work together is hard. Even if we WANT to apply a systems mindset, it mostly seems abstract and ‘out there’ somewhere. And even if we love the idea of working in networks, we struggle to make them work. We who are committed to this paradigm shift still have a lot of learning ahead of us.
Without relevent representations of how all that abstract invisible stuff connects to OURSELVES, it’s a mystery. So long as its ‘out there’ or about ‘someone else’, we can’t sense our way into it. Sarah Shanahan of the RE-AMP Network says it takes their new members roughly two years to understand what the network is. And RE-AMP is a mature, sophisticated network with established on-boarding practices & a lot of excellent training.
We need a new world-view-impacting, visual language for representing this new reality related to systems and networks that is similar to, and as powerful as, the visual language of geographical mapping. A visual language for enabling, facilitating and processing our learning.
This language has been developing for some time now. System mapping, network mapping, value mapping, process mapping, stakeholder mapping, influence mapping and more – all are genres in the developing language of the network graph. All emphasize relationships and surface aspects of the hidden realities. All are valuable tools for advancing our learning.
Moreover, visualizations are among the best ways to help people with different perspectives share understanding. So when those mapping genres are implemented as a collaborative process, they’re even more valuable.
But those mapping genres I just mentioned are still fragmented. You use one kind for THIS purpose and another for THAT purpose. But reality is overlapping & interconnected. That’s the whole point these maps are trying to impart.
So social system mapping has become the medium through which we’ve been exploring these questions with our mapping clients and sumApp customers: how do we create a paradigm-shaping, reinforcing feedback-looping visual language similar to what we have with geographical maps – but in this new context? How do we create a new visual language that increases our awareness of, sensitizes us to, and increases our actionable wisdom around the invisible and interconnected forces in systems and the hidden dynamics of social interdependence? A representation of reality that both expands our understanding and reflects what we’re learning about it. A representation that enables us to see our complex situations more clearly and have greater insight into how to navigate what is normally hidden?
And it’s not just about the outcome, it’s about the process as well. Who defines what matters? Whose language? How is power reflected, how is it used? What’s working and what needs to change? The project itself has to become a focal point of collective learning and decision-making and evolving together. The process itself is the experiment – the map is a reflection of what we’ve learned so far.
It’s also about reflecting the truth – which is messy. It’s about acknowledging and accepting inherent complexity and different understandings so that we can find ways of navigating that, instead of splitting it up into arbitrary and neatly-separated boxes. It’s supposed to be messy, it’s supposed to be confusing. It’s supposed to wake us up to the truth. We’ve been spoon-fed bite-sized, fragmented bits of near-useless knowledge so long we don’t know how to step back and look for patterns, or to discern coherence or its lack. We don’t have the mental habits and skills that enable us to make sense of a non-compartmentalized reality. So we desperately need tools and processes that help us figure out how to do that.
So that’s the purpose of a social system map. It is a collective learning experiment that facilitates a deeper understanding of systems thinking and the power of networks, using a visual language that is APPLIED, to what is RELEVANT to US, in a CO-LEARNING environment, WITH others who have SHARED INTENTIONS, in an ONGOING way.
Just like a geographical map sensitizes us to information-in-relation-to-place, a social system map and the process of making it sensitizes us to the hidden relationships and dynamics that make up our human systems.
So – having finally come to the WHY of a social system map, understanding its reason for being, we can recognize that it’s NOT just a random & aimless mash-up of a range of mapping genres – it has explicit and purposeful constraints that enable that WHY:
- It centers human beings and self-reporting. All elements in a map are there only because they either are people or because they are connected in some way to the specific people represented. It relies on actual people’s input, feedback, and sense-making. Network members provide the bulk of the data represented, they keep it up to date, they use the map to inform their change efforts, and they define what data and visualizations are relevant to them.
- Unlike with a Social Network Analysis, it doesn’t isolate the relationship patterns from the systemic forces that go along with them. It doesn’t just show us who is a connector or a bridger for example, it also shows us the systemic forces they are connecting or bridging. It allows us to highlight additional systemic dynamics embedded within the patterns an SNA reveals.
- Unlike in a classic system map, it doesn’t depersonalize systems. A system map of abstract forces helps us step back from our personal perspective so we can see the whole system more clearly (which is great). But it also leaves the impression that systems are these monolithic autonomic machines ‘out there’ that mere humans cannot impact. When in fact – human systems are generated and held in place by individual persons abiding by collective and generally unconscious agreements. There are material constraints and real-world limits, but how we engage these limits is purely driven by human beliefs. Omitting the persons that are invested in, impacted by or seeking to impact those beliefs from the systemic picture obscures our very human collective power. System maps leave human agency hidden beneath the surface, at a time when we need to highlight it.
- It’s online – available at any time and pretty much anywhere – equally available to everyone who helps inform and update the map.
- It’s interactive – anyone accessing the map can filter, pattern-seek, slice, dice, and zoom the scale of detail in and out to their own heart’s content. No-one has to rely on a specialist to find and show them what they want to see. The interactivity can both satisfy and stimulate curiosity – which then can lead to greater insight.
- It changes over time – everything from survey questions to who is included and questions about how they’re connected is meant to evolve. The content and design of the map are not defined once and for all in a perfect up-front process that everyone is then stuck with forever, but is meant to change and become both more meaningful and more context-specific as the network engages with it and learns from it over time. It emerges out of the ongoing interactions of the network members with the map. In that way, it’s a transparent and obvious example of a feedback loop.
- It is a collaborative effort requiring different thinking modalities. It’s only as useful as the collaboration and the collective effort make it. It won’t take hold from a single-perspective, top-down approach. Its success requires us to practise what we preach.
- It requires co-learning. The more the network is able to sense-make with the map around their own needs, the more useful the map will become to the whole. Without that training, much of the potential is left un-realized.
So what?
So in theory, I’m implying . . . that. . . if we can design effective methods of helping people learn to generate, navigate, make sense of and derive actionable wisdom from their social system maps, we’d be simultaneously building their collaboration muscles and capacity to navigate complexity – within the context that is most meaningful to them – their own networks and systems-change efforts.
With good training methods, a social system map could become a tool that catalyzes transformation through a network. The project itself – the training, the map, the sense-making and the iterating can become a network-wide focal point – an organizing principle for the network’s ongoing learning.
And that’s the point – to facilitate more, faster, better system-shifting, healing, generative, restorative wisdom.
Video of a Social System Mapping Presentation to the Blue Marble Evaluation Network
Understanding the Relationship Between sumApp and Kumu
Kumu is an online platform that visualizes data in network graph format. A personal account is free. Each account can have unlimited ‘projects’. Projects that are indexed and viewable by the public are free. Private projects cost roughly $10/month. Private essentially means that the project isn’t indexed anywhere, and the only people who can access it are given access via their Kumu account. You can share your private project with any number of Kumu users, w/o incurring extra cost – it’s still just $10.
But, what’s a network graph, you ask? A network graph is any representation of information that uses the form of dots and lines. The ‘dots’ can be circles, squares, any other basic shape, or simply a few words. It’s a thing on a canvas. The lines are usually represented simply as lines (tho sometimes dashed or dotted, sometimes fat or thin) and they never exist in a vacuum – a network graph would never just show a bunch of lines. The lines always connect the dots – they represent some kind of relationship between one dot and another. Relationships are the whole point of a network graph. This kind of representation is inherently about connections, about relationships, about things that are never stand-alone, separate items – it’s inherently about context and system. That’s what’s cool about a network graph – they teach us to see and think less in terms of what’s-its and more in terms of what’s-between-its.
There are other online network graph tools but Kumu is our favorite tool – because of it’s beauty, it’s interactivity, it’s flexibility, and it’s accessibility.
But great as Kumu is, it won’t collect your data for you.
Which isn’t a problem if you’re graphing things about which you have sources of known data. But real relationship data about people – that can be hard to come by. It’s relatively easy to get information from people about themselves. But if you want to understand the connections between people or organizations – you have to ask them, and you have to ask them using an interface that makes that kind of asking easy, and using a tool that structures the data gathered in a way that works the way a network graph visualization requires (which normal surveys are terrible at).
So that’s what sumApp does. It helps you gather the data for a person-to-person/organization-to-organization/person-to-organization network graph – directly from the persons or organizational representatives themselves. It then feeds the data directly into Kumu so that you don’t have to even look at it, let alone clean it up & move things around. It’s even live so that when a person updates their info in sumApp, that info shows up in Kumu within minutes. It’s so seamless that it’s easy to think the two platforms (sumApp & Kumu) are one.
So – sumApp gathers social system data. Kumu visualizes it.
If your curious, read more about why we built sumApp.
It's a New Language That is Emerging
I like to say that Social System Mapping is one genre in a new visual language that’s emerging from the intersection of interactive online data visualization and graph theory. And because it’s new, because the media that use this language are not yet prevalent, because most people have had little exposure to it – to many people it’s confusing and underwhelming.
Beyond the fun of pretty moving pictures, and the zooming in & out – it gets dull and irrelevant fast. If you can’t ‘read’ the language.
There are other people (mostly intuitive connection-seeing types & systems-thinkers) who instantly get a sense of the potential of this new genre of the graph language. They get excited, they dig in, they want more and more. But even they often have a hard time explaining to others why these maps are important.
I believe that’s because it’s a new language. For some it resonates, or it speaks. For others, it’s just noise. See what you make of this example.
Which makes sense, if you think about the language of geographical maps. Both types of languages are visual abstractions, both represent relationships that can’t be seen from any other perspective, both are made up of data (not things). Neither is instantly obvious. There is an evolution that happens with any new language.
We can guess or imagine that when geographical maps were first developed, most people just saw meaningless scribbles. That guy carrying around a parchment scroll, flattening it out regularly, consulting the squiggly lines there – he must have seemed like a whack-job to others around him. I’ve been told there are still, today, places in the world where geographical maps are meaningless to many of the people. But not to us. Our ability to parse geographical maps has evolved.
If you’re reading this – you can read the language of a geographical map in your sleep. You look at google maps at least weekly. A momentary glimpse at the satellite weather map tells you everything you need to know about the weather over huge portions of the globe. And every wise decision-maker who deals with things that impact or impacted by geography (whether social, political, atmospheric, topographical, infrastructural, agricultural, mineral and so on) consults the relevant maps in depth before making decisions, investing, policy-making, committing and so on. Geographical language informs everything we do in ways that nothing else can. It’s essential to society, and shapes society in deeper ways than we can ever fully know or say.
Some of us are starting to be able to read the visual language of an interactive network graph the same way. Because of repeated exposure. Because we compose information using the language. Because we dig in and are curious and discover things.
My fantasy is that someday (sooner, rather than later, I hope) far more people will be able to read and write in this language. Because with all the wicked, seemingly intractable problems we currently face – coping, adapting, solving them requires us to, collectively, have far greater insight and ability to communicate about connections – about the relationships within systems, between people, among organizations, etc. And the need for that insight and ability to communicate about those otherwise-invisible relationships is precisely what this new visual language emerged from. It’s whole purpose is to increase our insight in ways nothing else can.
I’d like us all to be increasingly able to take advantage of that purpose – the way we’ve latched onto geographical maps.
In fact, I think it may be crucial to our survival.
Map Literacy - Example #1
Just to see what I mean by mapping being a ‘language’ – watch this one minute .gif
At first it may see like there’s a lot going on – a lot of dots, lines, names, movement, a couple of colors, that pop-out on the bottom left with text in it. . . .
But if you just relax & watch it unfold you start to see a pattern. And right around the time of the 106th congress, at 49 seconds, you’ll start to go ‘Oh! Wow!’
You don’t even have to pay close attention, the pattern pops right out at you.
My immediate take-aways:
1) There’s a TON of data in this 60 seconds – but it speaks quickly & eloquently – supporting my case that it’s a visual language.
2) If your eyes popped like mine did around and after the 106th Congress – you already know how to read this language.
3) When we’re making our own maps – we should strive to make them as easy to read as this.
Granted, our maps cover more possibilities, more dimensions, more everything messy. And they’ll rarely have such clear-cut & obvious messages embedded in them.
But it’s our job as map-makers to do our best to use the language with as much clarity as we possibly can.
Networkism - The New Cultural Meme
In a March 2015 TED Talk, data visualization researcher Manual Lima explores what he calls the new cultural meme of ‘Networkism’, and a shift he sees in how we represent knowledge. We’re shifting, he claims from a core metaphor of the ‘Tree of Life’ to a core metaphor of the ‘Web of Life’.
We (you and me, in our little social-system-mapping corner of the world), of course, are not new to networkism, even if the label is new to us. It’s not news that the network metaphor is seeping into every aspect of life, and it’s not surprising to us because we understand – it’s simply a reflection of how reality is structured.
What was compelling to me in his talk was how he, (as I have elsewhere), refers to the network graph as an emerging visual taxonomy, that is rapidly replacing the tree metaphor (tree of knowledge, tree of life, etc. with the web metaphor).
That shift isn’t simply metaphorical – it’s based on dramatically different ways of understanding reality.
The tree metaphor represents and evokes: Order, centralization, balance, unity, symmetry, linearity.The network metaphor represents and evokes: Complexity, decentralization, interconnectedness, interdependence, multiplicity, non-linearity.
This shift of metaphors is a reflection of the ways complexity science has begun to shift our cultural paradigm – our understanding of what reality is & how it works. But it’s not only a reflection – the metaphor itself shifts our thinking. Different thinking creates different metaphors, the different metaphor – reproduced in so many mediums, applied to so many concepts, seen in so many places – creates even more of the different thinking. It’s a feedback loop.
So – to me, as we make our maps, it’s useful to keep in mind that by the very act of visualizing the web metaphor, we are helping to shift thinking. It’s also helpful to keep in mind that, while everyone loves the visuals, the underlying paradigm shift can still be uncomfortable when it’s so close to home.
In our projects – the core tension we often deal with is the collective, habitual, preference for the characteristics of the tree metaphor over the network metaphor. The desire for order and linearity, overwhelm at complexity, discomfort with transparency and multiplicity.
A bit more about the language-taxonomy thing.
As Social System Mappers, I believe our core job will be to help prepare them for that, help them learn to navigate that, help them learn it.
Bruce Mau ‘When everything is connected to everything else, for better or worse, everything matters.’
Social System Mapping Principles
The original network visualization tools (as well as, perhaps, the underlying scientific research goals they were designed to serve) imposed constraints on a Social Network Analysis project that no longer apply when using sumApp and Kumu together. These new tools offer more flexibility in terms of WHAT we map (the content), in terms of HOW we map it (the process), and in terms of SO WHAT can we learn from them (the use of the maps). In other words, even mundane changes in technology often give rise to unintended consequences – this is an example. And those unintended consequences can be generative, destructive, desirable, undesirable, all of the above together, or none of the above.
In this instance, I’ve noticed that by removing those few technical constraints, sumApp increased the potential use of the maps we generate. And the classic idea of Social Network Analysis no longer fits, which is why we now call these maps Social System Maps instead of SNA’s.
Yet – I find that people with SNA experience still approach a sumApp >> Kumu project as if the old constraints still apply, not always taking advantage of the flexibility sumApp offers, or imposing ‘should’s’ that are no longer necessary or helpful.
So to help re-envision how to approach these maps, I’m sharing the principles that guide my own thinking and coaching of others when supporting a Social System Mapping project.
The ‘Show Don’t Persuade’ Principle
It used to be that you had to push a network to participate in an SNA project before they had any understanding of the outcome. That makes it harder than it has to be. Just make a quick prototype map and once you have something to show folks, it’s much easier from there. Read more about this principle.
The ‘Meet Them Where They’re At’ Principle
This is related to the Show Don’t Persuade principle, and it’s about not stressing everyone out (especially yourself) too much about either the process or the content. The field of Social System Mapping is emerging fast, and all kinds of potential good practices are being experimented with and suggested to others – which is wonderful!
But – this principle suggests holding all those ‘best practice’ thoughts lightly. Prioritize what you network clients & ambassadors are able to imagine right now and don’t over-demand upon their (and your own capacity). Don’t create too many ‘shoulds’ for them or for you. Trust their potential for emergence and work with them to learn as they go.
If your follow-up sensemaking reflection process is good – it will all work out in the end. Read more about this principle.
The ‘Data That Makes a Difference’ Principle
A mapping project’s data-gathering focuses on data that has the potential to make a difference. And understanding WHAT data will make a difference will emerge over time, through frequent collective questioning. Read more about this principle.
The ‘Center the Data on Human Beings – and Their Own Self-Reporting’ Principle
We get as much data as possible from the people in the network themselves. And the kinds of data we gather are defined – as much as possible – BY the network members.
The ‘Connect the Relationship Patterns to the Systemic Forces That Impact them’ Principle
Social Network Analysis reveals the patterns in relationships among people. But simply leveraging existing patterns can easily deepen the status quo. We want to see those patterns relative to the forces of power, privilege, differences in strategies and goals and so on. Human relationships don’t exist in isolation from larger systemic forces, why limit our picture of them?
The ‘Intentionally Personalize the Systemic Forces’ Principle
This is unlike with a classic system map where if human beings exist at all, they’re pretty much just collective abstractions. We want to see who is connected to or impacted by those systemic forces and how they’re connected or impacted.
The ‘Exchanges Across Differences’ Principle
Amplifying echo chambers is NOT the purpose. Learning to understand from different perspectives, learning to connect and co-create across gaps – is. In my personal value system, if a map doesn’t at least have the POTENTIAL to help people see differently, and learn to generate something new with people different themselves, I don’t know why I bothered to make the damn thing. And if it has the potential, but it’s not being acted upon – then I’m trying hard to figure out how to move the group towards it.
But then again, the mapping process itself is a move in that direction. I figure that if you can cobble together a decent map, involving people wearing the four different thinking hats, and the team hasn’t fallen apart yet, you’re on the right track. You just need to find ways to bring that capacity to the larger whole. . . (hahahaha ‘just’. . . .)
The ‘Commit to a Process, Not a Product’ principle
A social system map is a learning journey for everyone involved. The map supports and reflects that process. We commit to the journey.
Principles I’m realizing are underneath those principles above (i.e. these are probably the core principles):
So – maybe these aren’t all directly-relatable to mapping. But they are OUR underlying principles, and we’re constantly trying to learn how to apply them to our work.