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The Future Is Common Knowledge

Common Knowledge

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Few people recognize the true economic potential of Wikipedia. Obviously, Wikipedia is an important resource for individuals and profit making companies.  It would take Billions of dollars to recreate it from scratch. But the true value of Wikipedia does not end here.

Wikipedia is a really huge set of interconnecting nodes – a massive dynamic database in the commons. When two points are connected, the magnitude and direction of the resulting line provides information about the data and proximity to other data.  Wikipedia is a venerable roadmap of connections between significant people, places, things, and ideas. Not unlike the Facebook social graph, Wikipedia in aggregate is a knowledge graph of humanity.  It is therefore as perfect a representation of humanity because it was created by humanity.

Mass Encryption

One of the more effective ways to encrypt data is to hide it among other data. In fact, your personal knowledge graph, stripped of  personally identifiable information can be hidden – like a needle in a haystack – among the wikipedia knowledge graph.  Your knowledge graph can then extrapolated along the nodes, edges, and paths of Wikipedia to draw inferences, make decisions, or set priorities for yourself and your interaction with the community.  It’s like your own private Big Data engine that only you can see.

The idea behind Curiosumé is to develop that vehicle from which a person can interpret actionable information when they overlay a persona (or Proxy) of themselves on the Wikipedia commons.  When many people overlay their personas to the Public Wikipedia Haystack, they can specify criteria out of nodes and branches of the wikipedia knowledge graph to find each other, to work together, to learn and teach.

Enter Block Chain

Each owner holds a private key in a cryptographic vault to their proxy that they can share, rent, or retract from others. The Private key is the only way to associate the owner with their proxy and with the commons. Mutual private key exchange will define a market for intangible assets among owners of such assets.  This exchange device would be ideally suited for a cryptographic platform such as Maidsafe protocol or Bitcoin Protocol.

Connections, intersections, and resultant “vectors” will reveal patterns from which decisions can be made.  The future economy may include the exchange of private keys.

Level Playing Field

As long as proxies – or personas – are anonymized, it would be OK for everyone to have access to them in the commons.  In fact, the quantity and the quality of the personas in the commons for a community or location could underwrite the currency of that community.  Everyone would have the ability to test their persona in the public domain upon any market to reveal their greatest economic potential.  Such a community currency would have a relative value to other communities not unlike, say, Forex.

The community can even test their own combined personas against a host of scenario proxies such as job proxies, investment proxies, etc., all without committing personal information. However, when two or more parties engage in transaction and/or interface with a regulatory agency, they will need to reveal their private key in order for a transaction to pass a pre-established compliance proxy that is also comprised of nodes and branches in the commons.

The Art of War

It would be very difficulty for people to violate another person because they will need access to the other person’s private key as well as a change in the commons in order to formulate a deception. If they modify the commons, they will in fact reveal themselves as a transaction.   If a perpetrator can somehow change the other person’s proxy, then they will notify others connected to that proxy of that change. Further, the perpetrator may be unwittingly doing more harm to themselves than good in their own connection to other proxies when attacking a particular persona – any action, except the truthful action, could have implications that are unknowable.

As such, there is little incentive to cheat.

Cloud Wars  

As such, any disputes will be fought in the commons and not at each individual node where the world engages in wars, competition, and oppression today. Wars would be fought in the info commons rather than being shrouded in the fog of ground ops.

The Future of Common Knowledge

 The future of common knowledge is the “commons”.  If every person, corporation, or institution were to index to a commons based data source, we could all observe each other while maintaining our privacy.  Economic scenarios could be run without expending money.  Disputes could be handled in the cloud.  The maintenance of the commons could become a new form of governance.

The Science of Change

Calculus has been called the greatest achievement of the human mind.  Yes, it is a little difficult to understand … until one day it becomes the simplest, most obvious, and glorious form of expression ever imagined.  Like a musical instrument, there is a point where all the symbols and lines can disappear and the artist can express himself or herself in the medium of the art – leading to many more great achievements of human mind.

The Science of Change

Calculus is amazing because it can make the invisible visible.  From sub-atomic particles, gravity, silicon circuits, diffusion of medicine through cell walls, to the discovery of new planets in distant solar systems – none of which are directly visible to the observer, yet their existence enables human imagination, innovation, cooperation, and social development at the most fundamental form.

Changing Wall Street

Wall Street lives quite comfortably in our homes, political system, our food , and our occupations – without being seen directly. Wall Street is utterly invisible.  Most of their work doesn’t even happen on Wall Street.  How did they accomplish this?  How were they so successful in occupying Main Street without being seen?

The Trojan Proxy

Wall Street is a mathematical construct – it exists in the form of symbols and numbers, or, “proxies” for making stuff – but not the actual stuff itself.   That is the vulnerability that we can easily exploit.  If we are smart, we can dismantle Wall Street brick by brick and they will happily walk right through the door because “our door” – the knowledge asset inventory – can be made indistinguishable from any other “proxy” for making stuff.  (I write extensively on this strategy in the prior posts).

There is a bigger message here that I hope does not get lost in the clamor.  There is likewise a very easy way to occupy Wall Street, however, it’s going to take a little mathematical cleverness. How do we make them visible to us and ourselves invisible to them.

The key is that we need to change ourselves. We need to transform, not them.  We don’t need to occupy Wall Street, we simply need to occupy Main Street because that is where they occupy us.  It is not enough to marvel at our numbers, civil disobedience, and cardboard signs.  We need a Science of change so that we can do so.

Intrinsic Banking

Paper money does not have intrinsic value

Paper money has no intrinsic value. The word “Intrinsic” means: something that belongs to the essential nature or constitution of something else. The ‘intrinsic brightness of a star’ is a common definitive statement.  Synonyms of the word include: built-in, constitutional, hardwired, immanent, indigenous, integral, inherent, natural, etc.

“Society” is intrinsic to economics

The Bank is an important institution for vetting social value. Despite the observation where it seems money is created out of thin air, traditionally a bank looks into a community of people and their talents to identify “social value”.  This is the likelihood that a person or group of persons can execute a specific economic outcome in the community.  Then the bank provides them with a tool called money to represent and facilitate future productivity in the present time.  So it is not really “thin-air” – it is simply invisible social value.

Little Bank on the Prairie

In the old days, the banker was a member of the community and could judge social value on any number of intrinsic social characteristics such as social status, leadership, family values, education, personal habits, and community participation. Later, the credit score became a proxy for social value through the analysis of public data (where “public” became the proxy for “social”). The credit score was then assumed to convert social value directly into financial value.

The terms “proxy” and “intrinsic” are not the same thing.

“Brightness” is not a proxy for stars any more than “stars” are a proxy for brightness.  Yet, the distinction between intrinsic banking and proxy banking remains indistinct. An Intrinsic bank would be characterized where social value is intrinsic to the creation of financial value.

It’s all about Value

We created The Value Game as a new class of business methods to transform financial value back into social value – The Value Game performs the mirror-image effect in an economy as the credit score.  The value game increases the social value of the community enterprise by converting monetary value into social value.  Only then can the Credit Score sustainably convert social value back into financial value.

Who wants to become a Trillionaire?

The point of this discussion is not to slam banking, rather, it is to demonstrate that intrinsic banking does not formally exist – yet is must exist as a direct balance to traditional banking.  As such, intrinsic banking is at least as “Valuable” as the banking industry itself. Today we are entering an age where society MUST come up with a NEW way to store and exchange VALUE. Whoever really get’s this and pioneers Intrinsic Banking today (what it means, what it creates, and why) will become as mega-wealthy as traditional bankers, in the future.

They’re Finally Saying Something New About Social Media

Calculus-fullYes, we know that social media is humongous. Yeah, we’ve all heard the 10 amazing ways to “fill-in-the-blank”. Nope, you are still not allowed to shove your products down the consumer’s throat until you have earned their trust.

Now, all of a sudden, a new idea is emerging…it’s barely an audible chirp, but it will become a tectonic rumble before long:

Social Media is beginning to take on the characteristics of a Financial Instrument.

This is a stunning development with vast implications. Allow me to interpret this excellent article by the respected visionary, Brian Solis, as a basis for my argument.

One thing that everyone can agree on is that “information”, “knowledge”, and “innovation” are related somehow. The problem is that nobody can agree about exactly how they are related. None of the definitions for these terms include the adjacent terms and no algorithm exists which performs the conversions, until now.

Now comes the interesting observation:

They say that Google ranking represents a proxy for knowledge in a knowledge economy. What they mean to say is that the rate of change of information with respect to time can be used as a proxy for real-time knowledge. This is a valid idea because Google organizes the World’s information based on time rates of change of the Information.

Yet “knowledge” can only exist between the ears of breathing, thinking, creating, and acting human beings – one important component for which Brian expands the term “Social Capital”. If we carry his observation one step upstream, we should be able to also say that the rate of change of Social Capital (a component of “knowledge”) with respect to time is a proxy for real-time innovation.

Now this idea should be pegging seismographs and flooding the Valley with the ensuing tidal wave of glee. The implication is that we can now identify and organize innovation by simply measuring the rate of change of knowledge with respect to time that an enterprise induces among social networks in a market. Alas, we can now see the direct Integration of Social Media into the business plan.

Calculus is the science of change.

Definitions are fluid, they must change. Brian Solis has, in fact, introduced the construction of what scientists call a “differential equation”. Much like “distance, velocity, and acceleration” are all defined as a rate change of their adjacent term, so too will “information, knowledge and innovation” become defined.

Economics is the science of incentives

It should not go unnoticed that Bankers are scientists too and “money, interest rate, and market capitalization” are also related by the same calculus. This makes possible the miracles of capitalization, securitization, insurance, diversification of risk, options, hedge funds, etc… For better or for worse, Wall Street lives and dies by this algorithm and so do we.

Let me repeat; social media is taking on the characteristics of financial instruments.

Please, I hope that I am not alone in celebrating this historic moment. Few people may recognize this now, but mankind has just experienced an evolutionary leap in it’s understanding of it’s own nature. Bravo Brian, Bravo.

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Diversity in Innovation

Most literature on the subject of Innovation cites diversity as an important component of the innovation enterprise. Unfortunately diversity rides a political narrative rather than practical applications. Polarization is the death of diversity and the political narrative that plagues our country also plagues our ability to innovate.

Process Diversity

Not only does the diversity in innovation matter, the diversity of acceptable outcomes of innovation is also important. In addition, the diversity of attempts at innovation is essential, i.e., failure must be culturally acceptable. Preconception, bias, thresholds, and ideology often spell the end of a economic outcome.

Moving Against the Grain

Unfortunately, the forces acting against diversity are deeply ingrained in each of us whether we’ll admit it or not. For example, if you are in charge of producing diverse groups, processes and outcomes. How does one extract their own personal bias? How does one determine how much diversity is needed? Removing oneself produces randomness. Including oneself produces similitude. Polarization returns.

A Diverse Quagmire

Most companies innovate with existing personnel whose behavior can only be a function of their interaction with the company for their career and retirement prospects. Utilizing external sources does not eliminate this bias and may in fact magnify it.

There may be a way out of this quandary; we must open our observation to include all possible outcomes as worthwhile. Then we must distribute the results broadly. Where diverse people observe the same event, objectivity is achieved.

A striking resemblance to social media

By observing something derived from unobservable events, we can gain a great deal of information. because Social media is experiencing extraordinary growth we can say that a great amount of innovation is occurring. It is our prerogative to capture the innovation and not to expect the innovation to capture us, our government, or our corporations.

Diversity by Proxy

At the Ingenesist Project, we define innovation as outcomes proportional to the rate of change of knowledge with respect to time. As such, all we need to do is look for high rates of change of knowledge and we know that innovation is taking place. We do not know what the innovation is, where it’s directed, or what the market for the innovation may be. However, when we employ diverse observation, these answers begin to emerge.

Social media provides an interesting backdrop to the innovation process. Social Media does not care what you look like, the clothes you wear, or the church you attend. Social media hold no monopoly of opinion on diversity –

Diverse Incentives

If we take a lesson from economics, we know that people will generally act in their own perceived best interest. Then we can apply a set of incentives that modifies the best interests of the people. These incentives may be rewards, access to more incentives, or reduction of risk. Suppose that diversity were in fact a process of self selection or self removal from an objective? That is, people would have enough information regarding the potential outcomes that they could choose to interact with the process or not. In effect, innovating as an economy.

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The New Economic Paradigm; Part 5: The Entrepreneurs

There is no shortage of entrepreneurs in this world.

6 Billion of them wander the Earth looking for assets that exists at a low state of productivity waiting to be elevated to a higher state of productivity.

The entrepreneur must first be able to identify an asset as an asset.  Next they need to identify the lower level of productivity and they need to be able to imagine the higher potential level of productivity.  The entrepreneur must identify and manage some risk, perform leadership tasks; and as a result, elevate the asset to the higher state of productivity.  Profit is the difference between the lower and the higher state – minus expenses.

Unfortunately, today this process starts at the forest and ends at the junkyard.

This is how our economic system is organized.  The next economic paradigm flips that idea over.  Instead of accounting for natural resources as the tangible element and human knowledge as the intangibles element; the next economic paradigm must account for the natural resource as the intangible element and the human knowledge as the tangible element.

The current problem is not that knowledge is intangible; rather, knowledge is simply invisible.

The Ingenesist Project will make knowledge assets visible by provisioning all of the information that an entrepreneur now needs to identify the knowledge asset and the associated states of productivity.  Entrepreneurs can then increase human productivity using knowledge assets applied to natural resources, instead of natural resources applied to consumption.  The implications are vast.

Returning to the financial analogy:

With a financial bank, the entrepreneur assumes that they have the knowledge required to execute a business plan and the go to the Financial Institution to borrow the money.

With an “Innovation Bank” the entrepreneur assumes that they have the money to execute the business plan, and they go to the innovation institution to borrow the knowledge.

While this may sound trivial, the implications are vast:

1. A virtuous circle now exists between society and the financial system
2. Profit is derived from increasing human productivity not natural resource exploitation.

Economics is the science of incentives:

A financial Bank seeks to match a surplus of money with a deficit of money.  It is in the best interest of the bank to find rich people who will not need their money for a while, and poor people have the best likelihood of paying the money back in time.  The process assumes that the borrower has the knowledge required to execute a business plan when they seek to borrow money.  However, that FICO score does not measure knowledge explicitly, so little incentive exists to make it tangible.  All of the top ten reasons why businesses fail are due to failures of knowledge.  The financial system is collapsing under the weight of failed knowledge.

By contrast, the Innovation Bank seeks to find people who have a surplus of knowledge and people who have a deficit of knowledge about what they intend to produce. The innovation bank then uses a series of statistical calculus (the same calculus as the credit/insurance/risk management professions) to match most worthy surplus of knowledge assets to most worthy deficit of knowledge assets.  Here, the opposite assumption is made; everyone assumes that the borrower has the money required to execute the business plan and they go to the innovation bank to borrow the knowledge.  People have an incentive to accumulate knowledge.

Simplicity that defies comprehension:

The business plan for the new entrepreneur is deceptively simple to do and nearly impossible to monopolize; anyone can do it not just the wealthy and their chosen few.  The next 3 modules will outline how new enterprises will be constructed from the virtuous circle created between the financial bank and the innovation bank.  This changes everything …. and did I mention that the implications are vast?

The Next Economic Paradigm; Part 4: Institutions

In part 1, we introduced a new paradigm of economic growth; the innovation economy. In part 2, we identified information as the currency of trade for an innovation economy and we defined that currency’s relationship to knowledge and innovation.  In part 3 we demonstrated a structure for a knowledge Inventory that would enable an Innovation Economy.  In this module, we will discuss the institutions in social media that could keep an Innovation Economy, free, fair, and equitable.

In civil society, there are laws and regulations that protect our constitutional rights; these are essential institutions.

The legal system of the United States is extremely expensive, however, the expenditure is necessary to keep the society upright, productive and prevent it from falling into chaos.  Where a country’s legal system fails, so does its economy.  Entrepreneurs do not invest in places without a good legal system and where property rights are not protected. It is that important.  Investment abhors risk.

Arguably, the most important element of the Innovation Economy will be the vetting mechanism.

Fortunately, social media has the potential to serve this function; in fact in many cases it already does.  A feedback system supports Ebay ($35B Cap), community flagging supports Craigslist (40M ads/mo), peer review supports Linkedin (150M users).  These are not small numbers.  All markets must have a vetting mechanism in order to operate efficiently and if done correctly, social vetting has vast economic implications for an Innovation Economy.

First, let’s return to our financial analogy.

In the old days, the banker was the person to know if you wanted to be successful in town.  But with the emergence of the credit score, the “banker” became digitized; now a Saudi Billionaire can lend money to a young couple in Boise to buy their first home – and neither is aware of the other.  The credit score is responsible for the creation of great wealth because many more entrepreneurs could borrow money to invest in enterprise.

The credit score is statistical in nature; it isolates about 30 or so indicators of your financial activity and puts them on a bell curve relative to everyone else.  These include how much debt you have, how much your assets are worth, your income, etc.  These ratings are run through the FICO Equation and out pops your credit score.  Anyone can now predict the likelihood that you will default on your obligation.

All of the data that feed FICO are collected from public records, your employer, and the people who you borrow money from because these same organizations have a vested interest in a system of correct credit scores.

We are competing with ourselves.

It is interesting that you and I do not compete for our credit score because it is not a ranking system. On the other hand, with no credit, we are invisible and the system shuts us out.  With bad credit, the system shuts us out. We lose some freedom and privacy, but we accept these terms well because they provides us with tremendous benefit to finance a business, automobile, or a home without needing to save cash.

Now we will draw the comparable analogy from the social media.

In the old days, the hiring manager was the person to know if you wanted to get a job.  They would read your resume and compare it with “bell curve” in their experience about what has worked or not worked in their past.  This worked great in the industrial economy, but it falls far short in the innovation economy.  Innovation favors strategic combination of diverse knowledge where the Industrial economy favored identical packets of similar knowledge.

Not unlike the FICO score, the knowledge inventory is a collection of statistical variables and the social network is the reporting agencies who have a vested interest in a system of correct values.  Unlike FICO however, the variables are infinite and it responds to positive event input.
Social networks are by far among the most exciting and important new technology for an Innovation Economy.

Social networks must now evolve to become the vetting institutions for knowledge assets.

All the pieces are almost in place; now we need to develop a new type of search engine.

The Percentile Search Engine is generic term for the ability to make statistical predictions about all types and combinations of knowledge Assets in a network. Conceptually, the percentile search engine is where all of the equations that we use to analyze financial assets are now applied to knowledge assets.  The main characteristic is that the search engine returns probabilities for the entrepreneur to test scenarios.

For example; an entrepreneur may want to know if her team has enough knowledge to execute a business plan.  Perhaps the team has too much knowledge and they should try something more valuable.  Maybe the team does not have enough knowledge and they should attempt another opportunity or accumulate training.

The search engine can look into a network and identify the supply and demand of a knowledge asset. If it is unavailable or too expensive, the search engine can adjust for price, risk, or options that may emerge at a later date.

Talent will bid up to their productivity value, and brokers will bid down to their productivity value.

Competitors can scan each other’s knowledge inventory to compete, cooperate, acquire, or evade. If a key person retires, the entrepreneur would simulate the knowledge that is lost and reassign people strategically. All of these scenarios can be examines prior to spending money. They can be made during the project cycle, or after the project is completed.  Lessons learned can be used to adjust the algorithm perfecting it over time.

For example: companies such as Disney and Boeing both use Engineers, each would have proprietary algorithm of knowledge that represents their “secret sauce” of success. These recipes can be adjusted and improved to reflect and preserve the wisdom of an organization.

When the innovation economy will catches fire….

Over time, these algorithms will far more valuable then the Patents and Trade Secrets created by them – this will allow technologies to be open sourced much more profitably and shared across more industries.

In the next module, we will talk about the entrepreneurs.

The Next Economic Paradigm; Part 3: Knowledge Inventory

Welcome back to the New Economic Paradigm Series.  The objective is to develop an innovation system that emulates the financial system.  In order to do this, we look for the social component that could best duplicate the function of the closest corresponding financial system component.

Part 2 discussed the currency of trade.  Part 3 will discuss the inventory of knowledge assets.

Most companies have an inventory of every nut, bolt, rivet, or panel that they need to build something tangible.  In innovation economy, we will need to have an inventory to assemble knowledge assets so that we can build something tangible and support the currency.

Your resume is like a book about you.  Conversely, every book that you have read has become part of your knowledge inventory.

Every experience you have had, every conversation you have participated in, every new idea that tried, successful of failed, is part of your knowledge inventory.  The things that you like to do, things that you do not like to do, and things that you do not know are part of this inventory and the way it is organized in your consciousness.

The Dewey Decimal System is a way to catalog information in books. Keep in mind that The Dewey System is archaic; however, it does provide us with some key insights:

From our earlier definition; to organize information is to organize a proxy for knowledge and innovation.

The decimal classification structure has a great advantage for the computer and mathematical analysis.  Additionally, tens of thousands of librarians are fluent and most people in the US have at least a minimal familiarity with it.

For a quick review, the body of written information is divided into 10 main categories.  Each main category is divided into 10 more categories and each of those are divided into 10 categories – and this can go on forever.

It is useful to note that the Dewey Decimal classification has a bias toward the three factors of production for the innovation economy; Social capital, creative capital, and intellectual capital:

Most resume reading programs just pick up key words, so why have any other words?

Your resume can be a series of Dewey numbers instead of words and computers can tag the numbers as they do key words today. For example:

302, 307, 330, 607, 17, 500, 519

If your mind were a library and you attempted to map it all out, one would see that everything is related in some way – intuitively, this is what defines you. If we looked into your world, we would discover a huge network of experiences, books read, lessons learned, and people encountered.

We would find a system of knowledge rather than random facts that you have organized.  Your likes and dislikes would be reflected in what you do and do not want to do. Everyone is different – nobody is the same.  Everyone innovates, everyone has knowledge, and everyone shares information.

If we add some mathematical symbols and Boolean logic, perhaps we could capture the system of knowledge a little better. Your resume may now look like this:

{20,12};[302 AND 307], (330):[607 AND 17] OR [500/519]

Now need to make this look like money.  Before our knowledge can behave like a financial instrument we need to add one additional factor – the quality of the knowledge.

In American society there is a persistent ideology of winners and losers; there can only be one winner and the rest are losers.  We rank things in a very linear way; 1st, 2nd, 3rd, etc.  Our culture is to protect one’s position at all cost, shield away all attackers and decimate our competition.  This way of thinking was effective in the industrial economy, but today it keeps us from understanding how knowledge actually exists in a community.

We need to switch to a bell curve distribution for knowledge assets because it better reflects reality and eliminates unproductive competition; there are no winners or losers, just different markets.

There is a perfectly legitimate market for a Porsche as there is for a Toyota.

Statistical distributions are used extensively in finance to value financial instruments; we need to do the same now for our knowledge assets. To make financial sense out of our random world, we must classify knowledge assets on a bell curve.  Consider the following resume:

{20:95%,12:80%};[302 AND 330]70%:(607 AND 17)80% OR [500/519]90%

This person is a specialist in Social Interaction and economics at the 70th percentile related to educational research at the 80th percentile. She (or he) has a Background in applied mathematics and physics at the 90th percentile. She (or he) is a trained ethicist at the 75th percentile, philosopher, and artist specializing in musical theory and orchestration at the 50th percentile. Fluent English and Spanish

Now, we have a system of numbers and symbols represent the knowledge of the person in a tangible manner.

Keep in mind that this is only a demonstration, however, we see some key advantages:

1.    The Inventory is Infinite and expandable to any field of knowledge
2.    Paints a picture of knowledge and not simply a list of information about a person.
3.    Machine enabled, programmable, and readable.

Now, all of the tools, methods, and equations in the world of banking, finance, and insurance can be used to combine, amalgamate, and diversify knowledge assets in an innovation market.

Your resume can now be combined with other resumes to represent the collective knowledge of a community.  This expression carries all of the information that an entrepreneur needs in order to estimate the probability that the community can execute a business plan.  We will discuss predictive characteristics extensively in future modules.

In the next section, we will talk about the institutions that exist in our communities through computer enabled society which will keep this game free, fair – and most importantly, equitable.

The Next Economic Paradigm; Part 2, Currency

Welcome to part 2 of the New Economic Paradigm series.

In part 1 we determined that money represents human productivity and the only way to sustainably create wealth was to innovate.

Then we identified the flaw that money lives in a complex and integrated system while Innovation does not, rather, innovation is isolated, random, non-integrated and subservient to the financial system.

This module discusses the currency of the innovation economy.

A Currency is anything that serves as a medium of exchange, a stored value, and a standard of value.

We  all know that Dollar denominated money is a medium of exchange – but it does not represent gold or silver or even oil, it represents human productivity.  Money, and therefore all financial instruments store value related to human productivity.

When we look into society throughout history, everywhere people are trading information and ideas with each other at some velocity.  The Internet and social media (machine enabled society) has sped this process up to incredible rates.  All of this information adds up to something because obviously things get built and stuff rolls off assembly lines.  Furthermore, people act on information obtained from each other to produce things.

The currency of trade for the next economic paradigm must represent this “stock exchange”

Intuitively we know that information, knowledge and innovation are profoundly related to each other.  In fact, if you don’t have one, you can’t have the other two.  Our currency of trade must represent all three; information, knowledge, and innovation.  Therefore, we need to redefine these terms in a manner that relates them.

First we must define ‘information’. That’s easy, information is facts and data.

Next we need to define ‘knowledge’ in terms of information: Any good teacher can tell you that information must be introduced in a certain sequence and at a certain speed in order for the student to learn. Knowledge is therefore proportional to the rate of change of information.

For the purposes of this analysis, we will use the following definition:  Innovation is defined by the rate of change of knowledge where knowledge is defined by the rate of change of information.  For example; everyone has had an ‘Ah-Ha!’ moment during a brain storming session, or after making a mistake, or after witnessing a profound event. The AH-HA moment represents a very high rate of change in our knowledge that occurs in a very short period of time.

According to this definition, every idea,  conversation, dream, design, sketch, or discovery experienced and shared between two or more people is an innovation.

Math students can see that this definition sets up a differential equation that we can use to model the innovation system computationally – something that cannot be done with the current definitions.

Now let’s look at the “economic outcome” part

The factors of production for the industrial economy are land labor and capital.  Entrepreneurs allocate these three factors in different combination in the formation and growth of corporations.  If any of these factors of production are missing, dysfunctional, or corrupted – the corporation stops producing.

We have learned that in the knowledge economy, the location of knowledge work is highly mobile – so “Land” does not have the same significance for making things as it did 100 years ago.

What about labor? Knowledge workers analyze situations, manage many variables, and create unique solutions.  They do not really produce identical knowledge pieces like a machine operator or a production worker.  Everything they see and do becomes part of their relevant knowledge set: 24/7/365. The idea of an 8 hour day and pay-by-the-hour are no longer relevant.

Capital is money needed to build future structures, buy machines and to pay wages. Today, money provides access to information. The current economic meltdown demonstrates that where the information is corrupted, the money is corrupted – and so becomes everything connected to the money.

We now see that many old economic principles do not work quite as well in the new economies. Yet, the Land, Labor, and Capital theory is still the foundation of much of today’s corporate, academic, government, financial, and social thinking.

Using our definition for innovation, we can see that the innovation economy will emerge from the rate of change of the knowledge economy.  Today we are witnessing an astonishing growth in social media and a breakdown of traditional media for the dissemination of information.

The factors of production for the new currency are Intellectual Capital, Social Capital, and Creative Capital.

Intellectual Capital is also called Human Capital – and suggests that concentrations of educated and motivated people attract investors to employ them and invest in the communities where they reside.  This investment attracts other intelligent people who in turn attract more investment thereby creating a cycle of economic growth

The Social Capital Model suggests that people acting in communities can create better solutions, greater accountability, and more economic growth than management, governments, or bureaucracy can induce on their own.  Examples of Social Capital include Civil Rights Movement, community watch organizations, Democratic Government, Social Networking, and notably, recent political changes events.

The Creative Capital model, suggests that engineers and scientists think more like artists and musicians than like production workers – their ideas come 24/7/365 – and that an environment of tolerance, diversity, and openness promotes creative output.

A Currency is anything that serves as a medium of exchange, a stored value, and a standard of value.

In the current financial economy, the currency is a dollar.  The rate of change of the currency is called appreciation, depreciation, or “interest”.  The rate of change of interest is the growth rate or compounding. These are very familiar conditions in finance and the basis for a company’s stock price.

In the innovation economy, information is the currency.  Knowledge is the rate of change of information, and innovation is the rate of change of knowledge.

This will become a very familiar and useful relationship in the innovation economy.

For example, innovation is difficult to measure directly.  However, we can measure the rate of change of knowledge as a proxy for innovation.  It is difficult to measure knowledge.  However, we can measure the rate of change of information as a proxy for knowledge.

In finance and calculus, these are called derivatives.

In the next module we will discuss the inventory and accounting system for an innovation economy.

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