The Ingenesist Project

The Next Economic Paradigm

Tag: computer enabled society

The New Economic Paradigm; Part 5: The Entrepreneurs

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On April 9, 2009

In General Information

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?

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The Next Economic Paradigm; Part 4: Institutions

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On April 7, 2009

In General Information

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.

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The Next Economic Paradigm; Part 3: Knowledge Inventory

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On April 6, 2009

In General Information

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.

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The Next Economic Paradigm; Part 2, Currency

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On April 5, 2009

In General Information

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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The Relationship Economist

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On January 21, 2009

In General Information

The Office of the Relationship Economist of the United States:

President Obama said in his inaugural address;

“Our workers are no less productive than when this crisis began. Our minds are no less inventive, our goods and services no less needed than they were last week or last month or last year. Our capacity remains undiminished”. 

This is true; so what changed?

Mr. Obama’s statement is profound; in a single stroke, he divorced human knowledge, talent, creativity, and intellect from dependency on the financial markets.  In one short statement, he reversed the old world order where economic growth drives relationships rather than relationships driving economic growth. Mr. Obama has made people tangible as financial instruments in their own right.  The language needed to change, only then could the relationships change and therefore, the economics.

Calculus: The Science of Change.

Change is everywhere.  The only thing certain is change itself. We vote for change we can believe in, we are aware of climate change, and we see the world constantly changing all around us. Each of these sentiments is an expression of the mathematical discipline of Calculus

Calculus got a bad rap with most of us in High School. Calculus has boring charts, funny symbols, strange sentences, and objects flying around in a frictionless space – nothing could be further from reality, so it seemed.  In reality, however, nothing could be simpler.  Early civilization noticed that seasons change over time. Farmers noticed that plants changed over time. Isaac Newton noticed that the speed of the apple changed over time as it fell.  Copernicus noticed that the location of the planets changed over time, etc.  We all notice and respond to change.

Economics: The science of Incentives:

Bankers noticed that the value of money could also change.  To lend money out for future repayment, there is a likelihood that something will change; good change, bad change, or no change. So, in order to avoid bad change and to keep good change, the lender charges “interest” on the money.  Interest represents the change of money over time – but not the reality of the change itself. Consequently, the change of money induced incentives for people to behave differently and this changed reality. For better and worse, reality reflected the incentives rather than the incentives reflecting reality.

The Language of Change:

Today our language is changing at an incredible speed – most words associated with the human condition have changed in definition over only a few decades ago. The words “relationship”, “society”, “marketing”, “innovation”, “media”, “democracy”, “productivity”, and many others, all have expanded meanings.  Now we need to create new words to describe new realities; Computer enabled society, Social Capitalism, Web 3.0, relationship economy, innovation economy.  What is the incentive?

Relationship: The Science of Communication

Now here is where Calculus gets complicated: If words are changing and communication is connected to the words, then communication is changing too.  If communication is changing, and productivity is connected to communication, then productivity is changing too. If productivity is changing, and the economy is connected to productivity, then the economy is changing too.

The Relationship Economy:

Just like money, the change in our relationships induces an incentive or disincentive to behave a certain way.  For better or worse, incentives will reflect reality rather than reality reflecting the incentibes.  That’s a game changer.

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The Shift to Social Capitalism

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On January 8, 2009

In General Information

As computer enabled society marches toward social capitalism as a result of overburdened financial institutions, a new generation of social media applications will form to emulate those institutions.  Social capital, creative capital, and intellectual capital will increasingly behave like tangible assets.

Economic and Privacy

Our credit score is a statistical sampling system in which we compete with ourselves for the cost of money.  We lose some privacy with the credit score, but we accept these terms to the degree that we enjoy the benefit.  After all, we can literally print money today to build a businesses backed by future productivity (financial capitalism).  If this benefit disappears, so too will the paradigm and something else will take its place.

Social Media and Privacy

Similarly, we lose privacy with social media; we drop our resume on Monster, we post our profile to Facebook, we express opinion on a Blog, and search engines display this activity.  But we accept these terms to the degree that we enjoy some benefit from our social network.  Whatever that benefit is, we know that it is real, it is tangible, and it has value – otherwise, people would not do it.  This is the nascent domain of Social Capitalism.

Cover your Assets

Like financial capitalism, social capitalism will be the ability to borrow knowledge assets today to build a business backed by future productivity of those assets.  In order to anticipate how social capitalism may be structured, we continue with the analogy:

The FICO equation churns about 22 variables related to your financial behavior. These variables include debt load, asset value, income, payment history, etc. Input data comes from past lenders for the benefit of future lenders, as well as insurance companies, employers, public disclosure, etc. The credit score predicts the likelihood that your future productivity is worthy thereby allowing the lender to hedge risk accordingly.

Computer Enabled Society

If we reconstruct computer enabled society in the same form, we notice some interesting similarities as well as differences.  Instead of 22 financial variables, social variables appear as events demonstrating social, creative, and intellectual capital. Input data comes from Social networking applications such as profiles, blogs, referrals, etc.  Finally, search engine placement registers your social credit score.  Have you Googled your name lately?

As imperfect as this may sound, remember that computer enabled society has not fully developed on the ground. Social Capitalism is in the beginning stages and there is great opportunity in improving this system if we know how it should work because the value of the paradigm, by default, could be in the trillions of dollars.

Next Generation Business Methods

The next great business opportunities will be in the area localizing, mobilizing, organizing, vetting, classification, and normalization social capital, creative capital, and intellectual capital.  These elements will contribute to one’s social credit score which buys access to share information and knowledge. Geographic location will become an essential SEO component as diverse communities cluster around technologies and tangential innovations.  Many of the functions that drive a traditional corporation will exist in communities governed by social economic incentives.  As a consequence, not as a cause, social capitalism will reflect social priorities as the term currently implies.

Social Capitalism and The innovation Economy

Social Capitalism fueling an innovation economy may become the most powerful engine of economic growth in human history if structured correctly, and a dud if not.  We are much closer than anyone realizes and the path is becoming increasingly clear. There is great cause for optimism in the next few years of social media development and social capitalism.

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Advertising in the Age of Social Capitalism

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On December 31, 2008

In General Information

The recipe for selling great products to great customers in the age of Social Media resides first in helping people find their highest talent and passion.

The great innovations of our time were created by people doing what they enjoyed most by using their talents to the highest potential.  Disney, Boeing, Apple, Mattel, and nearly every other ground breaking venture had the secret sauce of people doing what they were best at and most passionate about.

Advertising in the Age of Social Capitalism

Computer Enabled Society is in the midst of a struggle to reorganize itself outside of the construct of the traditional corporation. People seek to develop methods and systems that allow for the reallocation of social capital, creative capital, and intellectual capital to match a person’s natural talents and passions with those complementary to other people.

If marketers have the foresight and methods to “get ‘em while they’re young”, they certainly also have the foresight and methods to develop ‘em to their highest purchasing potential.  All they need to do is listen and support to the future trends in Social Capitalism.

Instead, mass marketing pays mass money for mass audience from which to draw mass revenues.  As a result, actual products are designed to be marketed and thrown away; not to be particularly useful, productive, or even healthy.  Such unnecessary innovation wastes human effort and natural resources while mass marketing of unnecessary innovation wastes the time and bandwidth of those for whom the product is irrelevant (yes, Spam).  Economies of scale will become liabilities of scale in an Social Capital driven Innovation Economy.

Few realize that advertising can become a highly useful component of the Innovation Economy.  In many professional societies, practitioners look forward to hearing from vendors, educators, and fellow practitioners for trends, news, and developments that can strengthen their community.  Bad products are rejected quickly and good ones are elevated quickly. This is how the great innovations are found. This is where the early adopters congregate. This is where brand loyalty is unyielding. This is where wealth is created.  This is efficiency that society wants and needs.

The Ingenesist Project starts the discussion by specifying the creation of a knowledge inventory in society.  This simple exercise enables communities of practice to form around a set of knowledge attributes.  Advertisers can quickly identify target markets and support the operating costs of these communities in exchange for the bandwidth of the members.   The community will look forward to learning about the advances in the field of their interest and ad copy will become far more useful and efficient to deliver in greater detail.

When communities of practice merge with other communities in the innovation process, the message of the advertiser can be carried far and clear as people share ideas and coordinate activity.  Feedback to the vender is highly qualified thereby creating a virtuous circle of innovation.  In the age of social media, highly targeted advertising is simply more efficient than “bending the herd” in a TV era mass market model.

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