Wayfinding Through the Visualization Space

May 23, 2013

If a utopian future for visualization is unrealistic, how can we do better to guide the way through it?
Photo by chriscom on Flickr.

A recent conversation with some fellow visualization folk led me to question my own notion of what the visualization space should look like and how it should get there.

Information design, as a visualization profession, is more than just how I earn a living. For me, it’s a deeply-ingrained way of seeing and being in the world. Sometimes, that desire to make things understandable is driven by preference and bias rather than by pragmatism. I’ve long been attached to the pursuit of an ideal visualization space, complete with a clear foundational language, broader internal and external understanding of visualization and its benefits, more structured programs that holistically teach visualization, and a closer sense of community across the many disciplines and specialties within. It would be great to see that viz-utopia happen and help make it happen, but the fact is that this vision is wildly out of sync with reality. Simply wanting things to be a certain way and tackling all the obstacles in the way doesn’t change what is and likely will be: an ecosystem of many different and differing points of view, hubs of activity, professional interests, channels of information, and outputs loosely joined under the category of “visualization.”

Perhaps the real opportunity is less grandiose (and presumptuous) and more down-to-earth: consistently working towards incremental understanding as a general goal rather than becoming fixated on solving for the larger perceived “problem.” Shedding some sense-making responsibility for visualization isn’t necessarily a surrender to the chaos and complexity that seemingly threaten to consume it. A measure of detachment acknowledges that other productive efforts are happening organically and have the potential to generate enough signal to cut through the noise. In this sense, the visualization space will ultimately become what all of its participants make of it; each contribution exists for the others to respond to, share, build upon, or rethink entirely. And the varied roles active within that ecosystem will shape the dynamic and tenor of discourse: teachers and students, leaders and followers, innovators and optimizers, sense-makers and trouble-makers.

So maybe hard paved roads, guardrails, and traffic lights aren’t the real solution to traversing the rocky terrain of visualization, but at a minimum, some balance is needed — enough structure and practical/theoretical basis to give the space substance as well as enough openness to allow new thinking and innovation to occur.

To borrow from the hiking world, it might be a shared community effort that guides the way, much like the cairns that line mountain hiking trails.

Cairn built atop a boulder on a hiking trail in New Hampshire. Photo by Michael Tsai on Flickr.

These small mounds of rocks mark the safest path when weather obscures painted trail markers or when hazards are hard to see. The piles aren’t always part of the design of the trail, yet they elegantly blend with the natural landscape while clearly showing the way. The success of cairns depends on many hikers doing their part by building them where they’re needed, adding stones to make the pile higher, or rebuilding them when damaged by the elements. Similarly, if enough visualization practitioners (from data viz, visual thinking, information design, scientific viz, etc), researchers, and others create and build upon existing knowledge bases (such as blogs, discussion groups, courses, events, etc) and collectively raise awareness of genuinely useful resources that advance understanding, the “right” paths might emerge naturally in time.

Of course, in this revised vision, all possible paths are available — it only depends on the individual to make sense of the options and decide on the best path forward.


3 Comments »

  1. Thank you for this! The metaphor of wayfinding, guided by the cairns of collected work product, is apt. The concept of a signal strong enough to cut through the noise is also helpful.
    I believe that we can re-form our networks with the help of digital and algorithmic analysis. And I am confident that these new, geometrically arrayed “cairns” of knowledge/power can drive pronounced enhancement of learning and development in the aggregate. There is a better model for situating and orienting individual contributors so that they inflect the enterprise knowledge and power, from inside>out! The geodesic design is uniquely suited to harmonize the noise of millions of vectors to form a balanced yet dynamic learning network. Thanks again. TomLeckrone@SemprePhi SemprePhi.com

    Comment by Tom Leckrone — May 23, 2013 @ 4:22 pm
  2. Thanks for commenting, Tom. You present an interesting extension of the cairn metaphor, specifically an ordered (geometric!) structure to maximize the impact of each contribution. It’s easy to assume that all the centers of activity in visualization create a self-organizing system organically, but as you suggest, some measure of efficiency and order would be beneficial.

    Comment by Michael — May 24, 2013 @ 7:22 am
  3. Thank you, Michael. If we could all simultaneously relinquish legacy “property” claims and take a leap of faith toward a more fluid, “streaming” model, there would clearly be significant net gain. (As you so succinctly point out, “The effect of your passion being shared with liked minded individuals is a massive gain.”)

    Community/network members would be more willing to build those cairns if they had a modicum of confidence that their efforts were to be equitably transmitted into an intelligent system of cairns. While any one layer of pathways could optimize vector patterns, we need more dimensions to distill and bring order to the infinite pathways crisscrossing our digital universe. I see your cairns as analogous to the “compression islands” that organize and power R. Buckminster Fuller’s geodesic “Tensegrity” structures.

    Thanks again! Tom @SemprePhi

    Comment by Tom Leckrone — May 24, 2013 @ 11:42 am

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