Showing posts with label methods. Show all posts
Showing posts with label methods. Show all posts

Saturday, November 9, 2013

Working on the Future



The older I get the less I feel the need to define for everyone else and the more I become comfortable with just defining for myself.  For some time I have been thinking about the things that distinguish professionals who call themselves “futurists.”

Futures studies is one of those unknown academic fields.  Indeed, even within the field there are those who argue that it is not, perhaps, a true field yet.  In any case, the label given to students emerging from futures studies is unfortunate: futurist.  Like “democracy,” “democratization,” and “strategy” this is a term that is terribly overused and misused, adopted by a very wide cast of consulting/speaking/thinking characters out there in the wild world.

Those coming out of futures studies are concerned with understanding change, with anticipating change, and with helping people to shape change.  But because the field is currently so… unregulated, and in fact may never become strictly regulated, the variety of methods, preferences, and degree of training among those claiming the title of futurist give rise to an extremely wide array of practices and objectives.

As a trusted colleague frequently points out, there is a considerable body of literature now built up around futures studies, so often grad students or newcomers end up reinventing things that they simply hadn’t been aware of beforehand.  While I risk doing the same thing, I have been occasionally returning to the exercise of trying to sort and distinguish between the various professionals who tend to work specifically and explicitly on the “the future.”  This is a schema based on my current thinking.

Let’s sort individuals according to two spectra: the purpose of their work and the underlying approach of their work.  Purpose can be thought of as the intent or objective of the practitioner.  Approach refers roughly to the sources of information and the ways of knowing upon which they build their work.  Using both spectra as axes we create a typical 2x2 matrix.

Figure 1: the basic 2x2 matrix


Purpose runs from anticipating change on one end to shaping change on the other.  The extreme left of anticipating change would be sincere attempts at prediction; more tentative or careful forecasts would fall to the right of that.  Crossing over the Y axis, efforts at shaping change would run from light efforts to shake people out of their assumptions all the way to grand attempts at social change.

The Y axis of approach runs from methods that rely entirely on participant knowledge and responses on the bottom end to the upper end with work that is entirely dependent on quantitative data (and likely disdains most intuition not based on “facts”).

Using these two axes we can play with plotting a variety of methods that are commonly used by “futurists”.  This is just a sample, to be sure; if we were to plot methods common to, say, urban planners, the quadrants would probably fill differently.  And this is just a quick generalization.

Figure 2: common methods plotted


Now, to follow classic business management practice, let’s give the quadrants labels and identities.  We’ll call the Data-Driven/Anticipate Change quadrant the Analyst quadrant.  The Analyst’s domain is about explicit models and information, and it’s about needing to understand.  Below that is the Intuitive/Anticipate Change quadrant, which is the domain of the Sage.  Merriam-Webster.com defines sage as “wise through reflection and experience,” and that aptly describes the methods and motivation within this domain.  To the right we have the Intuitive/Shape Change quadrant which we label as the domain of the Provocateur.  The Provocateur’s work is to shake people out of their assumptions and their complacency.  Finally, we have the Data-Driven/Shape Change quadrant, which is the domain of the Planner.  By definition, Planners want things to happen, and they lean towards information and structure to accomplish that.

For added fun, we can perhaps start to overlay archetypes, and specifically the brand-related use of archetypes developed by Mark and Pearson in The Hero and the Outlaw.  The Analyst domain is probably where the Ruler archetype feels most comfortable.  The Sage archetype would fit the Sage domain.  We might place the Magician in the Planner domain and the Outlaw and the Jester might both fit into the Provocateur domain.

Figure 3: the four quadrants


Knowing many actual trained futurists as I do, and having met a great many people who otherwise call themselves “futurist” or whose work focuses on the future, I think individual professionals have preferences or biases that tend to draw them into one quadrant more than others.  I myself was trained very much from the Provocateur’s domain, yet naturally gravitate towards the Sage quadrant (but higher in the quadrant and closer to the Analyst domain), while consciously wanting to explore the Analyst domain more.

Of course, what becomes obvious once you start staring at this matrix is that a really good futures or foresight process will glide across more than one quadrant.  While some engagements are wholly within a single domain (say, a futures-driven creativity/ideation workshop resting comfortably in the Provocateur domain), many probably do, and all probably should, move across multiple domains.

A process could begin in the Analyst domain say with some Emerging Issues Analysis, dip over into the Provocateur space for some Manoa scenario process, and then conclude in the Planner quadrant some Participatory Action Research (example 1).  Alternatively, it could start in the Sage mode with some Forecasting by Analogy, move to the Analyst mode for validation and additional perspectives from Learning Curves (and maybe some technology adoption curves), then end in the Provocateur mode with participants oriented for creating new products/services through morphological analysis (example 2).

Figure 4: processes across the matrix


In fact, you could probably develop this further to make it an easy-to-use process develop framework.  Aligning your project with client needs (archetypes) and making sure to include strengths from each of the quadrants would seem to always be beneficial.  This would just be a framework to help someone do that.

Well, this is not exactly where I had planned to end up when I started this post, but this is an interesting place to pause for now.

Friday, October 25, 2013

How to Forecast the Futures of 3D Printing



3D printing (additive manufacturing) is pretty hype right now, anointed so not just by Gartner (see the top of the hype cycle below), but also by the proliferation of exuberant articles in mainstream publications over the last 18 months or so.  How are all these journalists and evangelists arriving at their images of the 3D printed future?  Truthfully, in most cases I’m not exactly sure, but I suspect that in a fair number of them folks have given over to expanding on intuitive extrapolations of what they’re seeing in front of them.

Gartner Hype Cycle Special Report 2013

Digital fabrication certainly looks poised to become a major component in our future economic systems, and additive manufacturing will clearly play a major role in any digital fabrication scheme.  Given the inherent appeal of 3D printing systems, how they decentralize (not democratize, as so many writers like to mistakenly say) the tools for fabrication and how they enable such freedom of creation, it is both easy and fairly logical to assume that 3D printing has some role in our future.

But how can one usefully think about the future evolution of 3D printing?  How can we generate useful images of 3D printing’s future? (by “useful” I mean both logical and insightful though not necessarily probable).

Well, let’s do a little exercise in forecasting.  In fact, let’s consider two different approaches to qualitatively forecasting the futures of 3D printing.  We will call the first method displacement analysis and the second coevolutionary forecasting.  The former method is based partly on assumptions about the expected uses of a new technology and focuses our thinking on the changes that have to happen for those uses to come about, and how our expectations themselves might have to change.  The latter method leaves the future more open-ended and focuses our attention on how a given technology will evolve in connection with related and/or necessary enabling technologies and systems.

The Displacement Analysis
In displacement analysis, we would first think about additive manufacturing in terms of the capabilities it presents and the applications for which people currently do and hope to use it.  Then we map these capabilities and applications against a picture of the systems and processes in place in society today.  What’s displaced?  What has to be reworked?  Where are the systemic connections that have to be made to make the technology work as hoped?  And socially and institutionally, what stakeholders are threatened, and which are empowered?  Where’s the push-back (and what forms would it take) and where’s the natural incentive for investment?

As a result, we redraw the picture of the industry or societal systems of which our new technology will be a part and we identify the types of changes that have to occur for that new picture to become a reality.  And in the process we are forced to think about how our expectations might be altered when confronted with the many forces and relationships in systems that influence both stability and change.  Having been forced to think so systemically, we can end up with a picture of the future different than the one with which we started out.

The Coevolutionary Forecast
Our second approach also asks us to see our new technology as part of an ecosystem, but rather than working backward from the systemic impacts of a new technology it progresses forward from today by asking how a new technology would coevolve with other developments.  In contrast with displacement analysis that is anchored by our assumptions or expectations for a technology’s future use, this method asks us to start by identifying related parts of the ecosystem and then to think about how these different but related technologies, institutions, and values would logically coevolve as developments and changes in each part feed back to the other parts.

Coevolutionary forecasting is therefore predisposed to producing timelines of change (what I have always thought of as coevolutionary change tracks).  In the process of doing this kind of forecasting we are often “following our nose” as it were, following sequences of interactions that can take us to fairly unexpected places.  And that really is the key value of this kind of forecasting: it provides a structure for finding unexpected or counter-intuitive pathways into the future.

And so, what then would be our two different forecasts for the future of 3D printing?  Well, that will just have to wait for second part of this piece…

Tuesday, October 22, 2013

Slides for the Verge general practice framework

Earlier this year I posted about the Verge general practice framework for futures studies, which is used by more and more futurists around the world to frame explorations into the future.

A couple of weeks ago I gave a lecture at Oxford University on Verge and with the help of Dr. Wendy Schultz and Andrew Curry put on a workshop for attendees to practice using Verge in group work.  The slides from that presentation are included below.



An Introduction to "Verge" from Richard Lum

As I said to the audience members at the lecture, I am continually amazed at the versatility of the framework and marvel at the range of uses to which field practitioners put it.

And I can't help but feel like I could tweak this framework just a little more...

Sunday, March 17, 2013

Spotting the Future

I caught the following article this morning as it flitted by on Twitter (via +Fabienne GOUX-BAUDIMENT), "How to Spot the Future," by Wired of last year.  I of course could not resist checking it out.

Their list of rules of thumb for spotting the future include:
  1. Look for cross pollinators
  2. Surf the exponentials
  3. Favor the liberators
  4. Give points for audacity
  5. Bank on openness
  6. Demand deep design
  7. Spend time with time wasters

Fundamentally, I was kind of "ehh," about the whole article.  Perhaps Wired really does use those, um, heuristics, to anticipate change, but the academic in me is not that impressed (of course, the academic in me wants to see one of their intrepid editors write up a proper historical study of their experiences in this regard, so that we can see exactly the historical precedents that inform their rules of thumb).

At the same time, what I often see around me when others are "forecasting" the future is not dramatically dissimilar: a broad rule of thumb/model of change combined with some form of informal frequency analysis + novelty hunting (scanning the Web and identifying things that seem to be popping up more but are not yet fully mainstream + picking out things that provoke and are probably less well known).

Wednesday, March 13, 2013

Verge: a general practice framework for futures work

Back in 2004, my friend Michele Bowman and I started working on an environmental scanning service to offer corporate clients.  Out of those discussions emerged what we thought of at the time as a new taxonomy for conducting scanning.  As most folks involved in futures (foresight) work know, the most common frame for scanning or discussing trends and emerging issues (TEI) is STEEP: Social, Technological, Economic, Environmental, and Political.

The basic idea in using STEEP or any related or similar arrangements is to ensure a complete sweep of the environment, overcoming a group's natural biases or blindspots.  It's simple and useful.

Being academically trained futurists out of UH Manoa, we, of course, weren't satisfied with this and were looking for something fresh.  My original idea was to try and "anthropomorphize" the taxonomy and look at how people experience or view things in daily life.  While I'm not entirely sure I achieved that original objective, what resulted was a new set of categories, collectively named Verge:
  • Define: the concepts, ideas, and paradigms we use to define ourselves and the world around us
  • Relate: the social structures and relationships which define people and organizations
  • Connect: the technologies that connect people, places, and things
  • Create: the processes and technologies through which we produce goods and services
  • Consume: the ways in which we acquire and use the goods and services that we create
  • Destroy: the ways in which value is destroyed and the reasons for doing so
 Originally intended to frame scanning, this set got shared and communicated over the years to a number of professional futurists and client groups and has become a general practice framework, a framework that is easily applied in virtually all aspects of futures research and foresight work.  Like the general practice tool of Implication Wheel, which is used by many professional futurists, Verge is used for scanning and research, for forecasting and scenario construction, and for exploring implications.

And like any generally useful tool, it constantly gets interpreted and adapted for local use.  And I would expect it to continue to evolve.

Now to work on the next tool...