In its own words: “Global Voices is a community of more than 300 bloggers and translators around the world who work together to bring you reports from blogs and citizen media everywhere, with emphasis on voices that are not ordinarily heard in international mainstream media. Global Voices seeks to aggregate, curate, and amplify the global conversation online – shining light on places and people other media often ignore. We work to develop tools, institutions and relationships that will help all voices, everywhere, to be heard.”

There are of course other places to get local-blog perspectives on current issues and concerns, but this site appears to be the broadest and best, at least at the moment.

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Why is this important for thinking adequately about the future?

The biggest problem we have in foresight work is the double-whammy that (a) people, on aggregate, choose and make the future, and (b) we don’t know what they will choose because we don’t adequately listen to their concerns and motivations, or worse, are we are deaf to their motivations because they are outside of our frame of reference.

(a) Yes, the future is influenced by new capabilities, driven by new technologies, but technologies come out of societal perspectives (what are we going to invest in or research towards?) and then adoption (which technologies “make it”) is all about social and economic choices. So what defines the future is what most people want. (Not everyone wants the same thing: that’s what politics is about.)

(b) Share of voice is political too, and in our world some people and companies have vast sway over media channels, but most have no voice. But just because they have no voice doesn’t mean they are not making choices as to (a) above. All it means is that if you’re not listening, the future will surprise you.

A “surprise future” = a lack of mental preparation. Without exception.

It is easier both practically and ideologically to listen to ourselves and our micro-communities of associates online or off, which confirms what we think and how we think. It’s much tougher to absorb alternative perspectives. Global Voices is not perfect. It is still, naturally, the preserve of the literate and educated. But it is a first step out of the frame.

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In 1995, at the height of Microsoft’s power over the economy and the zeitgeist (before Google came into its own, before Apple renewed, etc.) Bill Gates wrote “The Road Ahead,” which was, as one would expect, a broadly techno-optimistic look at the future. Did it see 9/11? No. Iraq War 2? No. The Credit Crunch? No. For a start it only really thinks about digital technology, and that’s going to be a very partial guide to the road ahead, at best.

But, in a recent The Atlantic article, “Bill Gates: More Profit than Prophet,” Tom McNichol evaluates Gates’s foresight on its own terms. As reproduced below, he finds it more “miss” than “hit.”

In general, Gates makes the mistakes outlined in Future Savvy, particularly in predicting the future based on its technological possibility rather than economic or social practicality. He’s short on systemic/feedback thinking and therefore misses side effects and unintended consequences. He also falls into the wishful-thinking bias: mixing up what he and (and Microsoft business) would like the future to be with what it really will be.

This last factor is less a mistake than a classic tool of future advocacy, and Gates would no doubt admit to a bit of this. It is illuminating (and sobering for future predictors) to see how much of the digital future Microsoft had within in its area of control in 1995, which it ceded to others. That lowered Microsoft’s ability to influence the road ahead and therefore weakened Gates’ predictions.

The McNichol analysis (shortened in places):

E-Mail
Prediction: Gates wrote, “Electronic mail and shared screens will eliminate the need for many meetings. … when face-to-face meetings do take place, they will be more efficient because participants will have already exchanged background information by e-mail. … information overload is not unique to the (information) highway, and it needn’t be a problem.”
Verdict: Miss. Gates’s view of e-mail now seems naively Utopian, failing to account for unintended consequences. If anything, e-mail has made workplace meetings more frequent and less efficient. “Didn’t you get that e-mail?” is probably the single most common question posed at meetings, a query that often leads to … another meeting.

The Wallet PC
Prediction: “You’ll be able to carry the wallet PC in your pocket or purse. It will display messages and schedules and also let you read or send electronic mail and faxes, monitor weather and stock reports, play both simple and sophisticated games, browse information if you’re bored, or choose from among thousands of easy-to-call up photos of your kids.”
Verdict: Hit. Gates’s wallet PC is more or less today’s mobile smartphone with voice capability added.

Wireless Networks
Prediction: “The wireless networks of the future will be faster, but unless there is a major breakthrough, wired networks will have a far greater bandwidth. Mobile devices will be able to send and receive messages, but it will be expensive and unusual to use them to receive an individual video stream.”
Verdict: Miss. Today, receiving a wireless video stream is neither expensive nor unusual; in fact, it’s so commonplace that most people don’t give it a second thought. Gates failed to anticipate that wireless would become cheaper and faster, but his chief mistake was a common but flawed assumption among techno-futurists: that new technology is adopted chiefly on the basis of technological superiority rather than social factors.

Social Networking
Prediction: “The (information) highway will not only make it easier to keep up with distant friends, it will also enable us to find new companions. Friendships formed across the network will lead naturally to getting together in person.”
Verdict: Hit and Miss. One of the killer apps of the information highway has turned out to be social networking… But friendships formed online don’t regularly lead to face-to-face meetings. Far more common is the user with 250 Facebook friends, most of whom he rarely, if ever, sees in person.

Online Shopping
Prediction: “Because the information highway will carry video, you’ll often be able to see exactly what you’ve ordered. … you won’t have to wonder whether the flowers you ordered for your mother by telephone were really as stunning as you’d hoped. You’ll be able to watch the florist arrange the bouquet, change your mind if you want, and replace wilting roses with fresh anemones.”
Verdict: Miss. Gates was right that the information highway would carry video, but he completely misread the social and economic factors that would shape its use in online commerce. How on earth would a harried florist find the time to hold a videoconference with every customer who orders flowers for Mother’s Day? What company would absorb the colossal expense of having orders changed at the last second according to customers’ shifting whims? Gates’s vision of online shopping has turned out to be a lot like past predictions about personal jet packs and moving sidewalks: a future that’s technologically possible but socially and economically impractical.

Videoconferencing
Prediction: “Small video devices using cameras attached to personal computers or television sets will allow us to meet readily across the information highway with much higher quality pictures and sound for lower prices.”
Verdict: Hit. What came to be called webcams are standard issue on PCs, or can be purchased from Bill Gates’s favorite company for under $30.

The Internet and the Web
Prediction: Gates’s 286-page book mentions the World Wide Web on only four of its pages, and portrays the Internet as a subset of a much a larger “Information Superhighway.” … Verdict: Miss. Gates’s notion that the Internet would play a supporting role in the information highway of the future, rather than being the highway itself, was out-of-date the day The Road Ahead was published… and he made major revisions to a second edition of The Road Ahead, adding material that highlighted the significance of the Internet. In many ways, Gates’s cloudy crystal ball regarding the Internet amounted to wishful thinking. Gates built Microsoft into a global powerhouse by selling proprietary software that users loaded onto their PCs. He wasn’t likely to warm to the idea that the same functions could be delivered cheaper and faster through a decentralized network that he couldn’t control.

Privacy
Predication: “A decade from now, you may shake your head that there was ever a time when any stranger or wrong number could interrupt you at home with a phone call. … by explicitly indicating allowable interruptions, you will be able to establish your home — or anywhere you choose — as your sanctuary.”
Verdict: Little Hit, Big Miss. It’s true that technology lets you explicitly indicate allowable interruptions — you can use caller ID to dodge unwanted calls or sign up at the National Do Not Call Registry to nix telemarketers. But the notion that technology would pave the way to greater privacy has turned out to be anything but true.

Imagine you are a turkey. Every day someone comes to feed you. Every day you get bigger. Your portion sizes get bigger too, brought by a nice man at regular intervals. You extrapolate the trend and you confidently predict a bigger you, with more to eat. Regularly too.

But what happens is … Thanksgiving. Or Christmas

Taleb, N., The Fourth Quadrant: a Map of the Limits of Statistics, Edge Foundation, September 2008

The hard reality for those who predict the future by extrapolating trends (and those gullible enough to believe them) is that even if our turkey had excellent data points (carefully observed and accurately recorded in, for example, a time series analysis) and, moreover, even if our turkey was a mathematically sophisticated — not merely simply projecting trends, but applying all the latest modeling techniques, from moving averages to compound regression — he is still going to be wrong about the future. Dead wrong.

All the data analysis in the world, all the fancy computer software, all the consulting time paid for, and he is still a dead duck.

Ouch. The lesson: there may be (or, vexingly, may not be) something outside the trend, a framing condition, which where it does exist is invisible within the trend projector’s mental model. The only way to get a view of the future that is “robust to Thanksgiving” is (a) to question assumed framing conditions, for example through properly done scenarios, and (b) to hold a view of the future which assumes fundamental ‘game-changing’ surprises can and will occur.

If, as they say, “the trend is your friend” it is assuredly only your fair-weather friend.

Peter Bernstein, the author of “Against the Gods: The Remarkable Story of Risk,” died recently at the age of 90. In memoriam McKinsey Quarterly reposted this recent Bernstein interview. I put it up here because it’s a timely and timeless lesson in thinking about uncertainty and threats, and avoiding simplistic (quantitative) approaches to managing them – one of core themes of “Future Savvy.” Bernstein offers and endorsement of real options and explains why sophisticated Long Term Capital Management (LTCM) mathematical models to control risk created “a math dependency” that was blind to, among other things, unexpected systemic feedback to its own emergence:

One of the first things Bernstein says is that risk implies that we don’t know what will happen, which could be good things happening too. Risk management, as it is currently understood, gets executives to look at what could go wrong in the uncertain future of the enterprise. (Somehow threats are easier than opportunties to get departmental budget for.) The standard approach is to break risks down into commonly understood threat categories: a typical analysis would illuminated risks posed by technology failure, communications failure, security failure, natural disasters, accidents, or market/reputation risk, liability risk, financial/credit risk, and so on. This negative-outcome identification is typically followed by strategies to monitor, minimize, or control the risk event or its impact.

Doing all this is great, BUT it is just a narrow part of enterprise and industry foresight. Why? First, industry foresight or futures studies for business is focused as much on the opportunities change offers as on threats. Second, foresight tools (when correctly applied) set themselves the task of enlarging perspectives or mental maps so that we can see more things, or more possibilities than the generally expected set (whether good or bad). Set against this, risk management is little more than the catalog of known threats. The unknown or poorly understood threat, or unseen opportunity missed (and grabbed by others) is likely to be more damaging to the enterprise.

The mood is justly sombre at the World Economic Forum’s Davos meeting this year, as grim-faced world leaders mull over the dismal state of the global economy and how to fix it. This is in marked contrast to recent years, when the top executives were warmly congratulating themselves on the general state of things.

In one sense this is perfectly understandable. The crisis is upon us and leaders should be directly and practically involved in tackling it. On another level it’s profoundly disturbing, because world leaders and senior managers should be doing more than merely responding to situations. When crises occur, crisis management becomes part of a leader’s job, but their real job is thinking ahead effectively to avoid crises and, on the positive side, develop opportunities.

Put another way: the heads of a companies or countries – Davos-level people – are tasked far beyond effective daily management. They are tasked, fundamentally, with negotiating the VUCA (volatile, uncertain, complex, ambiguous) world on behalf of the rest of us. If not them, then who?

This requires foresight and vision. In this sense, many who are at Davos this week are responsible for the current crisis. They failed to foresee it, in fact they generally endorsed the growth of complex financial instruments, the shadow banking system, and private equity growth –- much of which bypassed SEC or equivalent regulation, and which is now seen to be the root cause of the meltdown.

In fact much of the “new finance” system was thought to spread and therefore actually lower risk. Turns out that was a poor view of the future. In fact the present situation as a whole is the result of key decision-makers operating on a poor view of future. As a group, their mental model was not open to bad outcomes, or even just alternative outcomes to what was commonly expected.

Could we have thunk it?

Their response might be: “nobody can predict the future!” “Easy to say after the event!” This is true. But it’s common knowledge that there were those who foresaw the mess — The Times identified at least 10. As Davos attendees might now be forced to agree, some forecasts are clearly better than others.

This is where executive leaders can learn from the foresight field and particularly the history of failed predictions. Everyone relies on predictions for their guide to the future – nobody can be an expert in every field. And there’s never a shortage of them – they are frequently published in the media, offered by consultancies and think tanks, and are a key part of Davos.

While getting a prediction is easy, the key leadership skill is to be able to tell a good one from a bad one: that’s what turns a forecast into a strategic resource. That is what leads to better decisions, better plans, and better actions.

Can one do that? Can one critically assess a particular or consensus-held view of the future, to identify its strengths and weaknesses? Absolutely yes. Among the tests one can run on a prediction are:

•    assessing motivation – who is speaking and what their agenda might be, particularly if they have an interest in maintaining a current system or shaping the emergence of a new one
•    determining whether the tools used are appropriate to the level and type of uncertainty faced. High-uncertainty situations and long-term views require different approaches to standard modeling
•    questioning consensus mental-models and forcing consideration of alternative outcomes. All foresight is swayed by “zeitgeist” – spirit of the times – and good forecasts swim against this tide.

These are just a few among the many forecast tests one can run, as detailed in Future Savvy.  But even if Davos attendees had been applying just these three in previous years, their foresight would have been greatly improved. It won’t help with this crisis, but it might forestall the next.

* This article, authored by Adam Gordon, was first edited and published by Bnet.co.uk

One of the conundrums of foresight work is that it demands a macro-perspective, but real change requires focus. In order to get the breadth of view across society and technology to think adequately about the future, the futures analyst is forced to forgo much of the detail, while implementers are thinking: “this 40,000 ft view is very illuminating, but how do I land the plane?” What changes do I make, in my organization, in my industry, on Monday morning, and how do I not get fired for making them?

Kleiner’s updated The Age of Heretics, (2nd edition, Jossey-Bass, 2008) is the modern history of people who find themselves – or put themselves – on the focus side of foresight: who work practically on the ground inside corporate institutions to achieve change, which means by definition challenging the methods and perspectives of their institution. It is not the story of foresight at the lofty level of ideas, but the altogether grittier and more interesting story of how macro-change consciousness meets real institutions, real organizational dynamics, real industry pressures, and real career considerations, in the history of US corporations since 1945.

Kleiner, the editor-in-chief of Booz Allen’s Strategy+Business, is no stranger to the foresight field. He is the ghost-writer behind an eye-popping portion of the futures canon, including The Art of the Long View; The Fifth Discipline, and its Fieldbook; and The Living Company, and so on, (source: http://www.well.com/~art/) so it’s no surprise that the fabric of his text is lush in its familiarity with the players and ideas in the field.

The common thread he follows – through figures like Herman Kahn, Willis Harman, Amory Lovins, Oliver Markley, and so on, is that of the heretic, the maverick against the machine. Intriguingly, along the way, Kleiner gives us a worm’s-eye view of the genesis of many new management ideas, from “lean production” to the “balanced scorecard” to “scenario planning’ – showing how they emerge from and have been engendered by the forces of institutions in productive conflict with their heretics.

The political history of truth, and its future

Philosopher Michel Foucault catapulted our understanding of institutions as a political field, using insights from the history of prisons, hospitals, and asylums to show the relationship between power and knowledge in the evolution of institutional forms. But he never dealt with the modern business corporation. It may be overstating it, but not by much, to say that Kleiner updates Foucault for corporate America. The themes he carries: the role of the deviant, transgression, the evolution of truth, and discursive struggles between insiders and outsiders, are highly resonant. In his previous book, Who Really Matters (Doubleday, 2003) Kleiner developed other parts of this same perspective: showing how every organization’s identity and choices can be understood as driven by the interests of its core group – its powerful insiders.

The Age of Heretics is an engrossing history of change-agents in companies in strategic and organizational transformation. But it’s not just a history. In the future – while the names of the players, and their issues, and the institutions themselves will change, the productive articulation between the heretic and the institution will remain the format of change in big groups. So the lessons of the book are well taken and very highly recommended.

[This review, authored by Adam Gordon, first appeared in The Association of Professional Futurist's Compass Magazine]

In many ways, focusing on whether “this” or “that” is predicted, or not predicted, is to put the cart before the horse. The horse is the adequacy of our approach to anticipating outcomes and the quality of our foresight as a whole. When this is good, the cart – not missing important changes – will follow.

Credit: http://www.lewrockwell.com/blog

In this, it’s important to realize that many did predict the financial crisis (as many predicted 9/11 in various ways). Sticking with the financial crunch for now: it has generally been portrayed it as a “why-didn’t-anyone-see-it-coming” event. It wasn’t. Hats off to The Times for their October 12 piece: “10 People Who Predicted the Financial Meltdown.”(Summary here). Allowing for a fairly loose definition of “predicted,” the article shows that among those who foresaw the crunch were: Vince Cable, deputy leader of the Liberal Democrats (2003); US congressman Ron Paul (2003); Stephen Roach, senior executive at Morgan Stanley (2004); Christopher Wood – chief strategist of a broking firm in the Asia-Pacific Market (2005); and Nouriel Roubini, economics professor at NYU (2006)… and there were many others.

A different problem

So this reframes the problem entirely. It’s not that the predictions were not there. It was that not enough people believed them and, particularly, important decision-makers didn’t believe them or didn’t have the institutional capacity to respond. So there are two halves to the problem: the ability to see the full spectrum of what may happen, including unexpected outcomes; and the ability to act on what we see. Quality in foresight work – the raison d’etre of Future Savvy – makes it possible to see more outcomes more clearly, and to act with more confidence in choosing what to prepare for. (In the real world we can’t prepare for every outcome.)

There was a good letter published in the FT from eminent futurist Peter Schwartz on December 2, which describes this very well. It shows predictions for what they are (one-horse scenarios), and how decision-makers are typically bound into inaction or wrong action not only by working on the basis of a wrong prediction, but by the predictive mindset itself. This mindset – the habit or culture of picking “one right answer” in the face of a complex situation with many competing outcomes, prematurely closes alternatives and leaves us open to surprise. As Schwartz says, as scenario planners have always said (and he was one of the people who defined the field in the first place), a compelling set of alternative future scenarios encourages decision-makers to recognize unlikely and unpopular outcomes, along with expected outcomes, and therefore to be able to respond earlier and more effectively whatever happens.

Scenarios also contribute to the “act” side of the problem. In a well-done set for the banking industry, a financial-meltdown scenario would at least have been in play, institutionalizing the consideration of less unlikely, less popular outcomes in company and government forums, forcing serious consideration of necessary strategies and contingencies, and therein creating the ability to act early and effectively without having predicted the crisis.

The letter is well worth quoting in full:

Sir, The real question regarding the financial crisis is not, as the Queen asked: “Why did nobody see this coming?” In fact, any number of thoughtful people in academia, politics and business had been compiling the data and sounding warnings for several years.
The question we should be asking is: “Why didn’t decision-makers believe that a global financial meltdown was increasingly likely and then act on that belief?” Or, to put it another way: “What would it take to make decision-makers both believe and act?”

The problem is that decision-makers believe that they are forced to pick one right answer: the most likely scenario. Their approach to decision-making does not afford them the opportunity to consider apparently low probability but highly consequential scenarios. The answer, therefore, to the “believe” half of the question is a decision-making process that considers several scenarios: compelling stories about alternative futures that incorporate the analysis of “outliers” and describe three or four plausible paths forward.
Good scenarios force decision-makers to challenge their own assumptions and reconsider what is possible. As a result, they can take seriously those scenarios that seemed less likely at first, but whose plausibility increases over time.

The second part of the question – “What would it take to act?” – is much harder to address. Suppose that Ben Bernanke or Hank Paulson had come to believe a year or two ago that the house of cards was about to collapse and trigger cascading, global failures. What would they have done, given the realities of the complex interconnected systems at the heart of the problem? Perhaps if they had good scenarios with appropriate indicators to start with, they could have rehearsed different strategies and contingencies. Importantly, these decision-makers could have used these scenarios to persuade others on all sides of the issue also to recognise the complexity of the impending crisis in a more timely way. It’s never easy to convince everyone around you that the game they have been playing to their great benefit is about to change. But with a shared recognition of the magnitude of the risks and the ways they might unfold, they could have acted far earlier to prevent some of the dire consequences that have occurred, let alone what is to come.

I was reminded of this when, as my wife and I were talking happily about the Obama “Yes-We-Can” victory speech, our 3-year-old daughter piped up: “Bob-the-Builder”! [The economy's in crisis, can we fix it?] “Yes we can!” [The war in Iraq, can we fix it?] “Yes we can!”

If this means nothing to you, see http://www.bobthebuilder.com/ca/english/index.asp

This is not subtle stuff, this speechwriting. And politics is nothing if not the art of appealing to the 3-yr-old in all of us. But, as they say, “a win is a win.”

Anyway, it is for the foresight community to to get past the day’s euphoria and ask, what does this mean for the future? I think the win has trend tipping-point implications and allows some future-thinking insights to be accumulated.

The “Hawaiian” Future

One of the things Jim Dator and the Hawaii Research Center for Future Studies have long been saying is, “the future of the world is brown.” The running, long-term trend they are referring to is the movement of power and money from the white West to the brown East, and (eventually) South. And, on similar lines, we have seen rise in number of inter-racial couples (and more acceptance of), and the strong fashion and pop-star chic-ness of being “mixed” race. This aspect of the world’s future has been more obvious, earlier, in Hawaii than other places in the US (and the Obama-Hawaii connection is pertinent here), but now it’s mainstream. This in itself is a lesson that the future is to be seen earlier in some places than others. Anyway, November 4, 2008, is surely the moment where the trend tips and accelerates.

This is not to be naive. Nothing about the result is going to kill racism or ethnic affiliation. The world is a competitive place, and people organize and identify into groups to compete (and restrict access to benefits) more effectively. Whitey halls of privilege will continue to exist. Islamic identification and action will continue to be a huge force, and so on. But now that there is (and in future always will have been) a black person in the world’s top job, nobody can ever look at another person of color and see an intrinsic limitation on what that person can do, be, influence, or own.

Images of the future

For at least half a century the world has known this in theory of course. But theory doesn’t move the world. Pictures move the world. That is, pictures of the future bring the future closer. Obama making the president-elect victory speech, or seeing him and his family move into the White House, will undo more mental models – more educated incapacity – in the area of race than anything that has gone before. For driving the future, the Obama success image is more powerful than a thousand well-meaning affirmative-action programs.

The ratchet effect

The other, simultaneous, foresight principle at work is that change proceeds by ratchet effect. Sticking with politics, the Suffragette movement gathered momentum and finally swept aside millennia of tradition after women were seen to do traditionally “male” jobs during WW1. Here again we have the change-power of images of the future. After women were seen in these new roles there was no way to put the genie back. Yes, social changes can be reversed or stalled (Roe vs Wade is in the mire) but once the image of the future is out there, and minds have absorbed and habituated to it, it may be opposed but never removed. And this is what November 4 promises: visually ratcheting forward the world-wide acceptance of the potential of all people regardless of race as fact not theory – thereby tipping and accelerating the long-term trend to “The Hawaiian Future.”

No longer. The paradigm was broken by the Hans Rosling (Gapminder) video “Debunking Myths About the Third-World,” 2006. By Rosling’s own admission, his analysis is not based on new or better data. The (UN) data has always been there (yes now it’s becoming more available). But the seachange is new software which makes it easy to filter and present it in dynamic, graphic form. And, no surprise, this is popular. According to Gapminder, this video has seen by 500,000 people, not bad for a 20-minute treatise on perceptions of developing world countries.

Data turned into dynamic moving pictures is, one might say, required in our era (trends: visual literacy, short attention span, computing power) so thankfully we can expect more of this. What’s important, for forecast evaluation purposes, is the power of explanation and mental-model challenge that the improved communication provides. As Rosling says of his Swedish graduate students: “Their problem was not lack of data, it was preconceived ideas” (an outdated world view of “1st world” vs “3rd world.”) An endless amount of poring over dusty tables of figures would be unlikely to change that. But it’s hard to watch Rosling’s moving bubbles and not have one’s paradigm shaken.

Another site, in a similar vein, is worldmapper, a University of Sheffield initiative. Worldmapper communicates hundreds of world indicators, from infant mortality to military spending and so on, by manipulating the size of territory of each country to indicate presence or absence of the variable in question, as the following maps show:

Prisoners as percentage of population

Girls not at secondary school

Strikes and lockouts, 2002

Again it is basically UN data that is being sourced, but now presented in a way that cuts through the obscurity tells and the story much more vividly. As we know, humans “get it” better and faster via images than via words or figures. It challenges our perceptions in a way that figures in dusty tables cannot. They payoff is it’s harder to miss what’s really going on. So we have a better view of the world: our mental model aka ‘paradigm” more closely approximates reality. That means we will make better assumptions going forward which will, on balance (no guarantees of course), convert into better predictions.

1. First, what do you use scenario planning for?
Initially stated everyone did scenario planning, every time you find yourself doing something unusual it implies you’ve done something wrong with scenario planning. We think about the future all the time, constantly making scenarios in head, if move to London think about what need to earn, where live, family, critical uncertainties. We run forward, think about various challenges, we rehearse the future.

CL wondered about ill thought through scenarios?

AG felt it was inevitable that people will disagree. End of day scenarios boil down to politics. Visionary scenario planning gets everyone talking – firstly need to find common threads (if not grounds), that most buy into – even if it is a low common denominator, thus creating a shared vision, then dystopias, but remember the end point is never total agreement.

RS Acknowledgment of importance of politics? Is that your experience of foresight?
AG believes he is a political animal, but no longer involved in protest. Belief is power is absolutely important when thinking about the future. He then amends it to power and money – as often groups without power have public opinions so they can shape the future. There is a danger that they only talk about market forces and technology and that’s it.
RS Is it a struggle working with other foresight groups – is that view not shared?
AG says they can give a shared opinion, but politics mostly overlooked by the groups

RS describes that we all have a political agenda (social inclusion, voices excluded) within this project – it makes it interesting to deal with those who have an economic/gov background, it’s difficult to pretend futures neutral.

2. Could you talk me through a brief overview of your scenario planning method? (How long does each stage take? What preparation is required for each stage? How many people are involved in each step?)

There is an underlying method – but each stage has some degree of flexibility and can use a variety of methods.

A. Handshaking stage
Firstly deciding what you’re doing, basic project stuff – who’s involved, what resources, what deliverables – key is choosing method and who’s involved, may have varying degree of democracy – heads or grass roots, be inter disciplinary or not, have a broad or narrow focus, and what type of input is required. Believes it needs to have mixed agenda. Note that relying totally on academics is bad.
Then you need to decide the dates your final scenarios will relate to – further in the future the more radical but less relevant to other people and harder to action. Most future scenarios are around 10 years ahead – as a rule not less than 5 or more than 20.

To decide the focus you must:
1) Drive management team towards understanding how much influence they have over the future, can they drive future or does external events influence them? Percentage, never exact but idea.
2) Based on the amount of control can decide if creating a visionary scenario or anticipatory (not good word) scenario building. Visionary trying to develop an idea, multiple stakeholders get shared ideal, easier if pressure group, one organisation, as they can develop enrich and jump on to focusing on how we would put this into practice. They create a vision and dystopia. Influence future (money, opinion etc).
In anticipatory, or “Businessy type scenario”, participants don’t mind how things turn out, what they want is to be successful in the world however it turns out. Within organisation goal is to anticipate broad set of possible worlds, particularly critical uncertainties. So they do have research scenarios and different takes on how things emerge, BUT no preferred future. Look at resource and competence so they may have preferences but can adapt. To same extent they look at legacy competencies but this is not a determining factor. Scope alternatives and plan.
The Handshaking stage takes a few meetings to do, small with key meeting, then larger with various stakeholders – perhaps half a day.
In terms of materials one could send out stimulating piece to encourage thought so not stone cold but which doesn’t colour the agenda. Could also have to read a synopsis of what the process is about and the sort of things to think about and expect.

B. Horizon scanning
There are 100s of ways of doing this. Basically need to go into world and do research on what’s going on in key dimensions, technology, markets – broad scan of world relevant to issue area, bring in people outside of own industry. Best tool in this area is “learning journey” – jazzy word for anthropology of own society, structured agenda for talking to people about concerns, what they know, what they’d like, focusing on future – so need to be carefully done to avoid reiteration of now or what they think you want to hear.
Note that you can commission this – but it is not market research.
No answer to how long, dependent on time and resources, but should budget third of total time.

C. Pulling it together
Mulch through the data gathered – preferably in funky creative meetings, collate, output into things like forces, drivers of change, trends, blockers of change, critical uncertainties. What comes out is a picture of world that’s relevant to us.
This activity could be whole group or just the scenario developing team – it’s to pull out what’s important.
The format could be something like workshop, sleep/gap, then another half day or so.

D. Separating critical from predetermined
This could require a Mini Delphi, talk to experts to find out what are the sorts of things in forces of change list that are predetermined – so things we know will happen in 2020, perhaps the number of students, or trends to sustainability.
The various issues will have lifecycles in being a key focus, they’ll always be there but the amount of interest will vary, eg sustainability. In the future sustainability will be less of a concern, but not less important, it will just be integrated into our expectations we won’t focus on it. An example relating to education is how we’ve shifted views on punishment; it was a stick, then detentions, then exclusion…
[Divergent conversation about the failure to correctly predict overpopulation – they just extrapolated – AG argues it was not a failed forecast, just bad forecasting - a failed forecast is interlocked bad assumptions. There was a discussion whether carbon credits will have the same results.]

E. Question all assumptions/Test lists
Note: This stage might highlight the need for more research or stakeholder engagement.
The goal is to end up with two lists that rank for importance. One is about predetermined things – things that we are sure about for our purposes – note that we may, or may not, need to talk about them. Then there are uncertainties (anything we can’t clarify with further research). They are sometimes called “strategic uncertainties”.

F. Create scenarios
These lists form basis of scenarios, they allow us to try out alternate resolutions of the unknowns. AG hates the 2 by 2 matrix approach (from Boston management), but it is sometimes a useful tool. Shell use a fork in the road approach, or possibly a roundabout, where there are clear alternatives. For example, they know sustainability will happen but they have various scenarios predicting the demand for resources. [RS comments that Shell also have a trilemma approach, so deal with three worries.]
More generally scenarios are structured round uncertainties. The van der Heijden approach is to list things and tell stories – NEEDS creative facilitators. He has a pack of cards which people develop stories around. Each group is given part of the puzzle to resolve. Basically you need judgement to choose how.
The groups then write stories and the facilitator ensures the scenarios cover the cone of plausible uncertainties. Note there must be multiple scenarios, a single story is not helpful.
The creation of scenarios will take a minimum of 2 days to talk through, write, draw or tell.

Note: Jump scenarios are conversations over a day. There is no learning journey and it’s hard work for the facilitator. The result is paragraphs rather than stories. These are good for management to emphasis the alternatives and broaden thinking

G. Check and test scenarios
Vital outside people criticise. What could and would work? This stakeholder analysis is meant to be a practical exercise.

H. Put them out
Visioning scenarios (including preferred outcome) get published, they need to get folks on board. Business ones tend to be more internal.
Then test existing strategic agenda within scenarios. They’re a test bed for strategy and choices. How would things work?
Or backcast using the scenarios – so how to reach or avoid scenarios.
AG keen to promote that there needs to be standards, just like testing a pram, you need to exhaust all the things that could happen before it gets its kite mark.
[There was a conversational aside over the time spent on this. AG worried not enough time spent using them and that politics will block change – “if broke don’t fix it”. People need to be desperate to be receptive.]

3. Do you use any tools for scenario planning? If so, can you briefly describe them?

Classic management tools – so getting people to communicate, being experienced based.

4. Are any of those tools online?

Nothing practical is online but there are resources and case studies (see his website). Although then amended that can do Delphi online. Note that learning journey is not market research, not supposed to be investigating people’s mental models – “good foresight is not predictive”.

5. What scenario planning tools would you ideally like to have available?

Something that follows stages explaining steps, timelines, who’s involved, explaining predetermined and uncertainties when listing – basically scaffolding.

6. If time was restricted for a scenario planning exercise, which parts would you keep because they’re the most important?

Would go through all stages (tick all boxes) but go lightly on some. However the less knowledge bought in the more focus on facilitation. The key is to get people to develop interesting motivating diverse stories appropriate to their needs.

7. What tools or approach would you recommend if a non-expert wanted to do scenario planning?

When asked AG said that don’t need a facilitator but would do better if had one. They focus the time and can support the whole process – not just when in workshops. Those involved aren’t experts and have a stake in the present so they’re going to struggle to change their minds.

When asked if it could be done alone AG said yes, BUT that it would be better if one could do at least step G, testing scenarios, with others.

which is produced by a group called Squint/Opera, as part of a set of images of how London population would adapt to raised sea levels. The images, set in the year 2090, are on exhibition at the Medcalf Gallery in Clerkenwell, and the full set can be found here.

The “Flooded London 2090″ images are, of course, a scenario of the future. They evoke a time long after the impact of global warming / a rising sea has past. People have adapted and London is a tranquil utopia. It is not all bad – the rat race gone – swept away with other forms of current (2008) worldly obsessions in a kind of Noah’s flood. The world has become a slower, less complicated place.

As a piece of futures work there are various things to say. First of course, this is a scenario not a prediction. Nobody can predict 2090. Yet, as a scenario, with that intrinsic license to explore the margins of plausibility, it fabulously fulfils one of the primary functions of scenarios: to evoke a mental and possibly even an emotional response. Most scenarios – for example about global warming – are backed up by data and spreadsheets and citations (often necessary and correct) but these images tell the story in a somehow more direct and therefore compelling way, and the old adage a picture is worth 1000 words was never more apt. As all classic scenario analysts, from Pierre Wack to Peter Schwartz to … etc, say: a good scenario should provide a gentle jolt to management – forcing them to consider unexpected events and outcomes and prepare themselves mentally and practically to respond, and these images do that.

Scenarios: the artistic function
Now the question I pose myself – and anyone out there reading – is what is the relationship between scenario’s and art? Is the picture of the future that jolts – whether in a written narrative form or by pictures or film – not jolting in the same way as art does and for the same reason. Isn’t this the classic defamiliarization function of art (possibly mixed with social critique. Here of course it is not merely a warming about global warming that is being communicated, but also commentary about the pace of life, stress, time-crunch, and how this may not be so in the future. Everyone sees the future as more, faster, complexity. But maybe it is not.) Anyway, these images are a scenarios, and they are art, and all good scenarios should work in part “artistically” to defamiliarize the world as art does. (For background on Schklovsky and defamiliarization in art see here)

Squint/Opera is an interestingly multi-disciplinary group. It is a film and media studio that makes visualisations about the built environment, in their terms: “combining humour and narration with imaginative design, innovative visual effects and illustrative techniques.” A scenario firm, in other words, with apologies to the scenario planning traditionalists.

The common view of horizon scanning that it is about seeing what’s “out there” in the world. We look for events and signs and changes in behavior or technology and so on, that suggest the beginning of a larger trend. So far, so good. Many institutions, organizations, and companies practice this, or subcontract this service. But – and this is far less commonly practiced or understood – good scanning should focus equally at what’s going on in people’s heads: their ideas, values, and motivations, because these will determine the choices they make, and these choices aggregated over the population and over time will determine the future. (Internal perceptions and external events are linked of course.)

We can’t look into peoples’ heads. But we can look at what is going into their heads: exposing ourselves to the knowledge and ideas people are getting, or choosing. For some analysts this appears a very “low-brow” experience, too insulting of their intelligence to be worth doing. But there can be no adequate future scanning without it.

Fred
I’m prompted into this discussion by a post on the Foresight Culture blog which flags the importance of scanning inputs such as Fred YouTube videos. As posted: “Fred is the YouTube character of a Nebraska teenager, Lucas Cruikshank. I came across his videos because they kept turning up under Most Viewed or Most Popular on Youtube. Most viewed doesn’t make the content of a video valid or even viewable, but in my view, it makes it important to know about. His 19 videos have a combined view total of over 4 million, and Fred’s YouTube channel has 290,762 subscribers, the 4th highest total on YouTube…. Good scanning includes knowing what the mass of people are watching and liking. That means tv shows you might not like or even approve of… The Fred videos are interesting because, even though they are silly satire, they may represent a modern teen’s ideas about life, family, and society.”
View Fred’s video channel

Decision success always implies congruence between decisions and the world in which those decisions play out. If we decide today to launch a product, buy a house, study for a degree, build a new light rail system, or take any similar decision of significance, the environment of tomorrow will be a key factor in the success or failure of that decision. What we do will be tested by the future conditions that emerge. Where there is a good “fit” between the initiative and the environment it plays out in — “the right product at the right time” — we can expect success. If not, we should expect to fail. Our decisions are only as good as the view of the future they rest on. All opportunities and successes and profits are realized in the future. All threats, failures, and losses are in the future.

In a fast-moving world, we know that the future environment will be different to that of today in big or small ways. New technologies, market shifts, changes in legislation, or evolving social values damage or destroy the traditional good fit we have between ourselves and the world. To achieve “future fit” we therefore use forecasts to position ourselves and our organizations, creating (or renewing) the fit between our initiatives and environment. In some cases we may be strong enough also to influence future events and outcomes for our own future benefit, and forecasts help us do this too.

All enterprises benefit from narrowing down what they must adapt to and plan for – all effort spent preparing for a future that will not emerge is a waste of personal or organizational resources. Good forecasts are a key ingredient in limiting the vagaries of uncertainty, and therein working smarter not harder, avoiding surprises, exploiting new opportunities and plugging weaknesses in fitting in with the future, and where possible influencing the future to suit the organization. This is true not only of business. People and institutions of all types position themselves for success by anticipating and adapting to events, or shaping them. Whether it is an NGO raising money for developing-world children, an urban planner advocating a light rail system, a homeowner deciding to sell a house, or a student making a career choice, identical principles apply — a higher-quality reading of the future operating environment in which these decisions will play out is what separates winners from losers. We should all be vitally concerned with forecasts as we are all effectively betting significant resources on their validity.

Chapter 1: Recognizing Forecast Intentions, deals with considerations of how forecasts come about, who makes them, and with what intention. Those who research and produce forecasts, those who invest in understanding trends and drivers of change, and those (including the media) who bring the forecasts and their implications to our attention, inevitably have reasons for doing so – to benefit from the knowledge by seizing opportunities or avoiding threats or by affecting outcomes in the world. Understanding a forecast’s “return on investment” gives us an important vantage point in assessing the merits of a forecast.

Chapter 2: The Quality of Information, shows how a forecast communicates information between forecaster and reader subject to the same standards of accuracy, truth-telling, and bias-control by which one would judge any communication. Forecasts can be very different in methods and goals, but all forecasts lay claim to factual truth, particularly truth in the data, and the argument deals with the various ways in which data can be less solid than it looks, even with the best intentions.

Chapter 3: Interpretation and Bias, considers how data – whether good or bad in itself – can be interpreted or misinterpreted in forecasting, that is, the “political” aspects of forecasting. Just as there is no value-free look at history, so too there is no value-free look to the future and asking the right questions allows us be ready to mentally rebalance forecasts that are presented.

Chapter 4: Paradigms and Perception, investigates how predictive statements are exposed to a broader form of interpretive bias that has to do with the forecaster’s mental model or “paradigm,” and the “zeitgeist” (spirit of the times) when the forecast is made. This chapter investigates situations where forecast failure is caused by failure to escape society’s current mental models – which often do not hold through the forecast period.

Chapter 5: The Utility Principle, considers economic and market forces, and the role of consumers, in promoting or resisting the future. Without reigning in creative thinking, some simple economic filters inevitably apply direction or timing realism to futurist flights of fancy.

Chapter 6: Drivers, Blockers, and Trends, consider drivers and blockers of change, and how viewing these dynamics improves forecast assessment. It identifies the roles of Drivers, Enablers, Friction, and Blockers acting on events to cause change or resist it, and problems in dumbly projecting current trends.

Chapter 7: The Limits of Quantitative Analysis, discusses the role of statistical analysis and quantitative modeling in predicting the future – where this is possible and useful and where it is not, and why not.

Chapter 8: The Systems Perspective, investigates “system effects,” which occur whenever different elements or variables that may appear isolated are in fact linked together, such that changes in one element cause changes in others. Anticipating future behavior of any variable hinges on identifying the broader systemic elements influencing it and failing to do this is a big part of what causes forecasts to fail.

Chapter 9: Living with Alternative Futures, investigates non-predictive ways of approaching change – where the tone is more about managing uncertainty than predicting the future. It acknowledges unfathomable complexity of most future questions and provides perspectives that raise chances of success in an inherently unpredictable future.

Chapter 10: Forecast Filtering in Action, illustrates the processes of the book by applying them in case studies to real-world sample forecasts that decision makers in business and policy areas might find themselves interacting with. This demonstrates how real everyday predictive material may be probed and critically evaluated, following the principles developed in previous chapters.

Chapter 11: A Forecast Filtering Checklist, is a cross-cutting checklist which summarizes the principles of the book in one convenient, thematic list.