Thursday, January 26, 2012

Where Good Ideas Come From: Chapter 5, Error




·      Errors of the great mind exceed in number those of the less vigorous one.  William Staley Jevons is making a more subtle case for the role of error in innovation, because error is not simply a phase you have to suffer through on the way to genius. Error often creates a path that leads you out of your comfortable assumptions. Being right keeps you in place. Being wrong forces you to explore.

·      When we are wrong, we have to challenge our assumptions, adopt new strategies. Being wrong on its own doesn’t unlock new doors in the adjacent possible, but it does force us to look for them.

·      The trouble with error is that we have a natural tendency to dismiss it.

·      Coming at a problem from a different perspective, with few preconceived ideas about what the “correct” result was supposed to be, allows conceptualizing scenarios where the mistake might actually be meaningful.

·      Good ideas are more likely to emerge in environments that contain a certain amount of noise and error. You would think that innovation would be more strongly correlated with the values of accuracy, clarity, and focus. A good idea because they tens to have a high signal to noise ratio. But that doesn’t mean you want to cultivate those ideas in noise free environments, because, noise free environments end up being too sterile and predictable in their output. The best innovation labs are always a little contaminated.

·      Innovative environments thrive on useful mistakes, and suffer when the demands of quality control over whelm them. Big organizations like to follow perfectionist regimes, that have entire systems devoted to eliminating error from the conference room or the assembly line, but it is no accident that one of the mantras of the Web startup world is FAIL FASTER. It is not that mistakes are the goal – they are still mistakes, after all, which is why you want to get through them quickly. But those mistakes are an inevitable step on the path to true innovation.

Benjamin Franklin, who knew a few things about innovation himself, said it best, “Perhaps the history of the errors of mankind, all things considered, is more valuable and interesting than that of their discoveries. Truth is uniform and narrow; it constantly exists, and does not seem to require so much an active energy, as a passive aptitude of soul in order to encounter it. But error is endlessly diversified

Where Good Ideas Come: Chapter 6 Exaptation



Chapter Highlights:

Exaptation is borrowing a mature technology from an entirely different field and putting it to work to solve an unrelated problem.  Example; the transfer of the grape press for application in mass communication. Pg. 153

Another example of exaptation can be found in bird feathers.  Feathers for flying  are asymmetrical; the vane is large on one side.  While the feathers for insulation are symmetrical. Pg. 154

In evolution, innovation in terms of exaptation are happy accidents. Pg. 155

If mutation and error and serendipity unlock new doors in the biosphere’s adjacent possible, exaptations help us explore the new possibilities that lurk behind those door.  Example the use of a match when it is used to help one see in a dark room can be used to light a fire when you open a doorway to discover a room with wood in the fireplace.  Pg. 156 

Cities are environments that are ripe for exaptation because they cultivate specialized skills and interests and create a liquid network where information can leak out of the subcultures and influence their neighbors in surprising ways. Pg. 162

Creativity sparks when collisions from different fields of expertise share a physical or intellectual space. Pg. 163

Social networks created three times more creativity than uniform vertical networks. Pg. 166

A coffeehouse atmosphere creates room for creativity. Pg. 169

Apple Inc. brings all the departments together on the same table. Pg. 170

Multitasking allows the mind to go through multiple boxes and forces the mind to go through roadblocks from new angles or to borrow tools from one discipline to solve problems in another. Pg. 171

Chance favors the connected mind. Pg. 174

Notes from the Discussion:

Multitasking should be continuous not at only one time.
Bringing people from different disciplines together is a strength of Future Generations.
Cities are an existing platform to build on but not the only available platform.
We need to thrive to create the coffeehouse atmosphere throughout the institution.
We should consider capturing the institutions’ experiences for future publishing in the Harvard Business Review and the Stanford Alliance.


Monday, December 19, 2011

Where Good Ideas Come from Chapter 4: Serendipity



·       The hunch requires an environment where surprising new connections can be forged: the neurons and synapses of the brain itself and the larger cultural environments that the brain occupies.
·       Memories and associations are triggered in a chaotic, semi-random fashion, creating the hallucinatory quality of dreams. Most of those new neuronal connections are meaningless, but every now and then, the dreaming brain stumbles across a valuable link that has escaped waking consciousness.
·       Wagner found that after an initial exposure to the numerical test, “sleeping on the problem” more than doubled the test subject’s ability to discover the hidden rule.
·       Dreams are the minds primordial soup: the medium that facilitates the serendipitous collisions to creative insight.
·       This pattern of a slow hunch crystallizing into a dream-inspired epiphany recurs in what may be the most famous reverie in the history of science.
·       Neurons share information by a more indirect channel; they synchronize their firing rates. Large clusters of neurons will regularly fire at the exact same frequency – referred to as phase locking.
·       Brain also requires periods of electrical chaos – where neurons are completely out of sync with each other.
·       Every extra millisecond in the chaotic mode added as much as 20 IQ pts – longer spells of phase-lock deducted IQ points – though not as dramatically.
·       The more disorganized your brain is, the smarter you are. It’s counterintuitive in part because we tend to attribute the growing intelligence of the tech world with increasingly precise electromechanical choreography.
·       The electric noise of chaos allows the brain to experiment with new links. The phase-lock mode is where the brain executes against an established plan or habit. The chaos mode is where the brain assimilates new information, explores strategies for responding to a changed situation.
·       You don’t reach Serendip by plotting a course for it. You have to set out in good faith for elsewhere and lose your bearings serendipitously.
·       Serendipity is built out of happy accidents, to be sure what makes them happy is the fact that the discovery you’ve made is meaningful to you. It completes a hunch or opens up a door in the adjacent possible that you had overlooked.
·       **The challenge of course is how to create environments that foster these serendipitous connections on all appropriate scales; in the private space of your own mind: within larger institutions; and across information networks of society.
·       One way is to go for a walk. The history of innovation is replete with stories of good ideas that occurred to people while they were out on a stroll.
·       Given enough time, your mind will often stumble across some old connection it had overlooked and you experience that delightful feeling of private serendipity; why didn’t I think of that before?
·       While the creative walk can produce new serendipitous combinations we can also cultivate serendipity in the way that we can absorb new ideas from the outside world. Reading remains an unsurpassed vehicle for the transmission of interesting new ideas and perspectives.
·       The problem with assimilating new ideas at the fringes of your daily routine is that possible combinations are limited by the reach of your memory – solution Reading vacations
·       Devonthink – features a clever algorithm that detects subtle semantic connections between distinct passages of text.
·       Has the internet reduced serendipity?
·       Reading via the internet – may allow users to hone in (via filters) on what they need to know quickly versus meandering – also more likely to find info from people who think like us – decreasing diversity.
·       But connective tissue of hyperlinks allows you to explore related topics
·       Reading the newspaper increases serendipity – have to pass all of the other pages enroute to the info or article you’re looking for.
·       The web does allow for more people to publish thus increasing diversity
·       Internet may make too much noise and chaos, thus the need for filters.
·       Surfing and browsing the web increases serendipity.
·       Google and Wiki give hints to other related info thus increasing serendipity
·       Patenting, building walls between ideas decreases serendipity – many firms are moving away from this practice publishing ideas for others to improve upon - Nike
·       Traditionally, orgs that have a strong demand for innovation have created a closed play-pen for hunches – R&D labs. But protecting ideas from copycats and competitors also protects them from other ideas that might improve or transform them.
·       Brainstorming opens up the flow of ideas and hunches in a more generative fashion but tends to be more regimented. Brainstorming is less effective than practitioners would like it to be.
·       **Secret to organizational inspiration is to build information networks that allow hunches to persist and disperse – to recombine vs. cloister.
·       Tapping the collective intelligence – the individual employee has a provocative and useful hunch and the group helps to complete the hunch by connecting it to other ideas that have circulated through the system.

Where Good Ideas Come from Chapter 3 – Hunches



·       9/11 If the hunch had connected with another equally provocative idea, one that emerged 3 weeks later – might have changed the world.
·       Look at the history of innovation by looking at great ideas that changed the world, most are described as a series breakthroughs, insights, and Eureka moments that changed the world. Because they were successful it’s easy to attribute their success to the sheer brilliance of the idea or mind that developed them.
·       This overlooks the environmental role that helped create and spread the idea.
·       Just as useful is to look at the sparks that failed. Hunches need to follow another hunch to collide. On their own they are just hunches, but in combination they can become innovations.
·       A metropolis sparks key characteristic of a dense liquid network where information flows along multiple unpredictable patterns – the interconnections nurture great ideas because most come into existence half-baked.
·       Most great ideas come as partial or incomplete – they have seeds of something profound but lack a key element that turns a hunch into something truly powerful.
·       Hunches start with vague hard to describe sense that there is an interesting solution to a problem that has yet to be proposed but lingers in the shadow of the mind – assembling new connections and gaining strength – 1 day they are transformed into something more substantial.
·       *The challenge is keeping a slow hunch alive – to preserve it in memory – a dense network. Most slow hunches never last long enough to turn into something useful because they pass in and out of the mind too quickly because they are too murky.
·       Darwin’s ideas evolved because some basic level of the notebook platform creates a cultivating space for hunches constantly re-reading his notebook –discovering new connections and implications.
·       The common-place book transcribes interesting or inspirational passages for your own reading -assembling a personalized encyclopedia of quotes.
·       The common-place book helps to create tension between order and chaos - between the desire for methodological organization with new links and associations.
·       Each re-reading the common-place book yields new revelations can see the evolution of your hunches.
·       Common-place book model served as a foundation for the design of the worldwide web. Tim Berners Lee – growing realization that there is more power in arranging ideas in an unconstrained web-like way.
·       A work environment that allows for flexibility and connection – carving out a space for slow hunches.  A tangled web – swirling together influences, ideas & realizations from many sides.
·       * Google  engineers  - 20% time.  For every 4 hrs of work on company projects – engineers are required to spend 1 hr on their own pet project guided by their own passions and instincts.
·       Over 50% of Google’s new products are derived from innovation time-off hunches.
How does this work for Future Generations?
·       Can we document or re-create the development of some of our successful projects?
·       Interview Dan’l  about how a hunch developed into an innovation for:
o   4 Great Rivers
o   Pregnancy History
·       FG has had a lifetime of adjacent possible – the colliding that is the basis of the organization.
·       How do we re-create this?
·       What are those spaces that connect/collide with our global partners?
·       Need to update the website using Steven Johnson language
·       Why WV? Counter the belief that cities have the right people, environment, connections globally? WV gives us the space to think.
·       How do we create our own version of the Common-place book?
·       Perhaps we should hire an intern to help organize the thought processes – to collect and categorize material.

Monday, December 12, 2011

Empowerment on an Unstable Planet Discussion Notes


Chapters One and Two

Notes, analysis and discussion (most of comments drawn from text -- direct quotes are not always acknowledged); most of the discussion is drawn from chapter 1, although some relates to chapter 2 as well:

From discussion on introduction two weeks ago, SEED-SCALE is a theory of change to structure and channel individual actions toward effective solutions provides framework for learning, adapting and innovating. Implemented through empowerment, deriving from human energy differs from the usual process of development -- concepts of change agents and donors, needs analysis, plans, targets, funding stream.

SEED-SCALE allows each community to develop its own approach to services and enhance its control over its environment (broadly defined) using all resources and building a community resource base from within -- significant implications for process under way at Circleville and innovation teams; implications on how to bring all "community" members on board.
No endpoint -- always developing and evolving -- what does this mean for outcomes?

SEED-SCALE provides a way to frame relationships -- realistically grounded, SEED-SCALE framework focuses on building relationships, utilizing human energy, leading to behavioral change through partnership. Essentially the communities teach communities, the feedback loop leads to refinement and innovation, resulting in expanded momentum up within and across communities. Relates to Johnson's discussion of adjacent possibilities, productive collisions and what happens within liquid networks. Liquid net works are permeable and growth takes place by the individuals within those networks. As individual knowledge expands as a result of collective action, the network expands, as well -- find ways to relate to innovation team process, within teams and across teams in Future Generations.

Example from Arunachal -- process of catalyst from outside, outside in, working with bottom-up the cluster of women that became the women's group and influencing the top down. In addition communities teaching other communities and attracting more clusters. Moving from one cluster to five in one month with 17 after three years and expanding from health concerns to wide range of actions and opportunities. Eventually reaching 30 villages and 2000 people -- Money did not change hands, knowledge did. Rima not charismatic nor social entrepreneur but her efforts contributed to changing the context that survived without her (much like pregnancy history/women's action group in Yakawlang, Afghanistan). The question now becomes timeframe and continuation of process -- is there a multiplier, ripple effect within the community as well as across the community that builds on lessons learned and continues to grow outwards? What obstacles have been confronted and overcome? How? How to monitor?

Bameng illustrates SEED-SCALE -- work with what's there, build sense of community, and work from comfort level to eventually lead to behavioral change. Locus of control in the community -- empowered community to benefit from engagement with outside world, using currency of human energy, not building dependency on external financial or human resources.

Community is a complex system drawing together economic social and natural forces -- possible to change the relationship of each of these with each other. From examples in this chapter can see that society as a complex adaptive system comprised of interactions across human behavior in domains of economic, social and natural conditions. Need to ponder further at the thought that the whole is not equal to the sum of its parts but rather how the parts relate to each other. Good examples on pages 16 and 17 of changing relations and changing results. Is this what Johnson means by the functioning of liquid networks?

The challenge for Future Generations transformation is to accomplish the following, as indicated on page 17,: SEED-SCALE, as a framework for functioning in a complex system, such as the system now under way at Circleville, enables change in the relationship between the parts, and through adaptation as a result of these changes, transforms the parts themselves. In contrast to other approaches where the focus is on the parts, connecting them in predictable ways, in a complex system it is the relationship across the parts. This relates to Johnson's discussion of what happens to participants in a liquid network. He makes the point that it is not the network that gets smarter, it is the participants within that network that grow and learn as a result of being in that network.
The chapter discusses how a complex system is a set of procedures that govern the interaction across the parts. The procedures become the operating principles and they can be acquired or taught. It's possible to think of it in this way: top-down provides the laws, bottom-up the customs and habits, outside in new knowledge or approaches.

Social fractals are a hard concept to grasp that essentially is the building units of society relating to one another. Question to ponder is each of the innovation teams a social fractal that relates to the other teams as other should Social fractals and in some way rate relates to the Board of Trustees another social fractal -- all nested within Future Generations -- in Circleville, in country programs, alumni, students, faculty and trustees -- is it possible to analyze these units as fractals and map relationships? Complicating factor is that the relationships are always changing as the fractals changes well. The basic assumption is that growth happens from a process of relationship within and across fractals as the parts of this complex system.

With social fractals interacting with each other connected and multiple pathways, the result is social emergence -- possibly the relationship is across the fractals or in the case of the book across the different communities. On page 18 discusses implementation by rules that create order out of complexity. The question for Future Generations is what are the rules that lead to emergence or the adaptive actions that are always changing? This becomes complicated in thinking about proposal development, in a very practical way, hard to write about dynamic situations but this is where snapshots can come in as well.

Clarifying line on page 19 "emergence goes directly to implementation, allowing designed to unfold along the way, always re-adapting within an ongoing analysis of fast numbers of interactions to improve the design." This leads to understanding exist the nature of social change "social change that grows internally and is sustained is a product of decisions made in response to shifting context." Unpacking these thoughts explains the failure of many development projects, both pilots and full ones. Essentially this is saying that internal dynamics control, govern, the complex system of the community. While this is well known in anthropology, it is often lost sight of an economic development. And in anthropology the structures are almost always hard to move forward to bring different members of the community, the interacting across kinship groups for instance, together.
Essentially the process is not orderly but there needs to be connecting across the different component parts within a community so that there is growth and change the stability coming from the capacity to adapt.

Following is a some page 21 examine Future Generations as a complex system again: with SEED-SCALE as an emergent framework considered how the different social fractals of the innovation teams engage the system and each other through what operating principles: the question becomes what are the operating principles that govern the interaction within the teams and across the teams? Is the interaction governed by the principles of SEED-SCALE: building on success, three-way partnership, evidence-based, and aiming for behavioral change? Are the operating principles for the teams assessed on the basis of criteria of equity, sustainability holism, inter dependence and interaction? Are the seven tacit SEED-SCALE appropriate for the teams -- organizing a local coordinating committee, identifying successes, learning from experience of others, gathering data about local results, making a work plan, holding partners accountable, making midcourse corrections?

Within the book this is talked about in the context of a complex adaptive framework working through the process of interaction and constantly a lot evolving from both local and external determinants. The results can be defined as stated on page 22 as the revolution of rising aspirations -- that is aspirations with tangible results. While we did not discuss the concept of scale at length, since that is at discussion of another chapter, it was clear that scale is not just numbers as discussed in the book but also the interaction and feedback within the community, or the case of Future Generations within and across the teams. It's possible that the aspiration plus results and outcomes sought by the transformation of Future Generations includes such concepts as enhanced relationships, and increase knowledge, palpable growth in synergy, more innovations based on the combination of results and aspirations.

Essentially as stated on page 23, there is a first-order understanding of what might be the ongoing always growing results: identifying wider options, leading to more innovations where "the synergy becomes active between quality of life and quantity of people participating. Rising quality of life brings more people to participate, and this numerical expansion increases human resources. That larger base leads to the next stages of quality, and the feedback loop generates true scale." This is not going to happen overnight and it may be the goal towards which one organizes actions and interactions but never fully achieved.

In Chapter 2 there is an extensive review of key literature that we did not discuss. It is apparent from chapter 1 the differences between SEED-SCALE and how one organizes complex systems from most of the discussion in the chapter the relevant pages focusing on empowerment are found in pages 38 to 42. We specifically discussed the Jimmy Yen emphasis on the social norms of working with the people that is, "teach by showing, learn by doing." (p.39 )
Particularly challenging was a section pages 42 -- 44that emphasized the importance of finding a way to relate to approaches of SEED-SCALE and more traditional development. The emphasis, that is, not competing across the different approaches but trying to find ways that they could reinforce each other. This relates to Johnson's discussion of adjacent collisions and the intersection across hunches that might be quite different but could help lead to a stronger next step, incrementally and iteratively.

When the discussion talking about how to share this kind of conversation more widely at Circleville to create new social fractals of discussion groups where each of us take on responsibility for leading yet another discussion group beyond the staff meeting. The intent is to say what norms about learning, human energy, operating principles, and feedback loops can be built into this complex system and to strengthen interaction within and across component parts. To we discuss the value of reading the Johnson and Taylor's books at the same time to deepen understanding of the concepts and practice, as well as the internal transformation underway within Future Generations.




Friday, December 2, 2011

The Adjacent Possible and Liquid Networks


Where Do Good Ideas Come From
By Steven Johnson


      1.  The adjacent possible captures both the limits and the creative potential of change and innovation. It is a shadow future hovering on the edges of the present state of things, a map of all the ways in which the present can reinvent itself. It tells us that at any moment the world is capable of extraordinary change, but only certain changes can happen.
2. Boundaries grow as you explore the boundaries.
3. All of us live inside our own private versions of the adjacent possible. In our work lives, in our creative pursuits, in the organizations that employs us, in the communities we inhabit – in all these different environments we are surrounded by potential new configurations, new ways of breaking out the standard routines.
      4.     What kind of environment creates good ideas?  Innovative environments are better at helping their inhabitants explore the adjacent possible, because they expose a wide and diverse sample of square parts – mechanical or conceptual – and they encourage novel ways of recombining those parts. Environments that block or limit those new combinations – by punishing experimentation, by obscuring certain branches of possibility, by making the current state so satisfying that no one bothers to the explore the edges – will, on average, generate and circulate fewer innovations than environments that encourage exploration.
      5.     Apollo 13 – The trick to having good ideas in not to sit around in glorious isolation and try to think big thoughts, the trick is to get more parts on the table.


Liquid Networks

      1.     A good idea is a network – a new idea is a network of cells exploring the adjacent possible of connections that they can make in your mind.
      2.     An idea is not a single thing – it is a swarm.
      3.     When you think of ideas in their native state of nueral networks, two preconditions become clear:
-the sheer size of the network – you can’t have an epiphany with only three neurons firing, the network needs to be densely populated.
-the network needs to be plastic, capable of adopting new configurations. A dense network becomes incapable of change, forming new patterns and incapable of probing at the edges of the adjacent possible.
      4.     To make your mind more innovative, you have to place it inside environments that share with same network signature; networks of ideas or people that mimic the nueral networks of a mind exploring the boundaries of the adjacent possible. Certain environments enhance the brain’s natural capacity to make new links of association.
      5.     When we look back to the original innovation engine on earth, we find two essential properties:
-a capacity to make new connections with as many other elements as possible.
-a randomizing environment that encourages collisions between all the elements in the system.
6.     Think of the behavior of molecules as each of three conditions:
      -In a gas, chaos rules, new configurations are possible, they  are constantly being disrupted and torn by the volatile nature of the environment.
      -In a solid, the opposite happens, the patterns have stability, but are incapable of change.
      -But a liquid network creates a more promising environment for the system to explore the adjacent possible.
            7. Large collectives are rarely capable of true creativity or innovation. They simply widened the pool of minds that could come up with and share good ideas. This is not the wisdom of the crowd, but the wisdom of someone in the crowd. It is not that the network itself is smart; it is that the individual gets smarter because they’re connected to the network.
            8. Important ideas emerged during regular lab meetings, where a dozen or so researchers would gather and informally present and discuss their latest work. The ground zero of these researchers was not the microscope, but the conference table.
            9. The group environment helped recontextualize problems, as questions form colleagues forced researchers to think about he experiments on a different scale or level. Group interactions challenged researchers assumptions about their more surprising findings, making them less likely to dismiss them as experimental error.  The results of one person’s reasoning became the input to another person’s reasoning…resulting in significant changes in all aspects of the way the research was conducted.
            10. The most productive tool for generating good ideas remains a circle of humans at a table, talking shop. The lab meeting creates an environment where new combinations can occur, where information can spill over from one project to another. The social flow of the conversation turns that private solid state into a liquid network.
            11. Walls are to write on/wipe off, so if inspiration his on the way to the restroom, you can quickly sketch out an idea for you colleagues to see.
            12. Exploring the adjacent possible can be as simple as opening a door, but sometimes you need to remove a wall.

Discussion:

1.     What are the indicators of too much chaos?
2.     Informal meetings would be helpful.
3.     What are the characteristics of effective liquid networks?  Is there a pattern? How do we need to know when these ideas take hold?
4.     Check out Kevin Dunbar on the net.
5.     What is the nature of the Palin women’s group prior to the starting the womens action groups?
6.     Can we connect with Penguin Books, Riverhead Books for a contribution of 10 books for our global partners?
7.     How do we connect with various global partners?