Think Bigger. Aim Higher. Go Further.

Tag: Resume

The New Definition Of Social Capitalism

SocIntCreaCapAbout 3 months ago, I received a cryptic email from what sounded like a war-weary Wikipedia Editor pinned down in the trenches by enemy cross-fire.  His message was stark;  Wikipedia will delete “Social Capitalism”, you are in the best position to save it”.

Since the dawn of Social Media, many people in the Social Capital domain, including myself, had been contributing references, material, ideas, and theoretical constructs to the doomed Wikipedia article in naive optimism that Social Capitalism may indeed be a new form of social organization.  So, upon receiving the desperate plea from the front lines of Wikipedia D-day, I jumped in and submitted argument after argument to an already formidable defense deploring the powerful Wikipedia Editors to preserve the article, the idea, the possibility…

But alas, we failed.  Perhaps we did not have proper academic credentials. Maybe we were not widely cited by important people. Our oppressors eventually provided a weak explanation related to social systems and economics, etc., but in retrospect, I think the real problem was that we were trying to define something that did not yet exist despite nearly 30 million Google search returns.

I have to admit that I agree with the Wikipedia editors. In reviewing that experience recently, I turned to the definition for “Capitalism (disambiguation)” in Wikipedia:

Wikipedia defines Capitalism as an “economic and social system in which the means of production are privately controlled”. 

Factors of Production (from classical economics) are presumed to be something like “land, labor, and capital”.  Now, consider that modern day factors of production are increasingly cited as: “Social Capital, Intellectual Capital, and Creative Capital” of people and their relationships.  After all, these are the assets that are deployed in order to produce the proverbial “basket of goods” upon which most global currencies are compared.  

This is not trivial. Since these modern factors of production exist between the ears of each individual person, they are, by definition “privately controlled” and readily exchanged for economic outcomes among people in social networks.

LifebeginsatincIf the US Supreme Court agrees that corporations are people, then it is equally valid that people are corporations too. Taken together:

Social Capitalism refers to the economic and social system in which the means of production are social, creative, and intellectual assets.  

However, (and a big however), in order for Social Capitalism to become the dominant form of social organization, quite literally, society must reorganize itself to account for exchange and trade of intangibles. Then, all the decentralized innovations that we call the “Social Capital Domain” can integrate, unify, and dominate. Everything will change.

SEE: Reorganizing For The Era Of Social Capitalism

Perhaps then we’ll finally have a Wikipedia article for Social Capitalism like those clear, present, and magnificently organized warriors behind such economic facts as  Corporate Personhood.

 

Shutting OFF The Lights On Big Data

turn_off_lights_19916160Big Data, Bigger Data, Not Neutrality, Mega-Mergers, Election Deform – BIG (fill in the blank)  spells BIG trouble for LITTLE (rest of us).  We don’t stand a chance against the tsunami of surveillance that is barreling our way.  Big Data is becoming it’s own feedback loop and, like shoving a microphone into a stack of tweeters, the noise is deafening.

Nature tells us many things about how an organism responds to externalities.  For example, when a stand of trees encounters an insect infestation, they work in symbiosis with fungi and micro-organisms to amazingly communicate signals across distance and across species to develop compounds to arrest the attack.  Nature collaborates in magnificent ways with often astonishing results – survival of the collaborators.

The entire human organism is in this position today, we cannot attack our own do-loop without also attacking ourselves.  We must adapt a new one.   We must address the perils ahead by organizing ourselves in a radically different manner.  When threatened by inundation, we must also become fluid, mix with the tide, and change its composition from within.

The following presentation was delivered at Seattle University in April 2014.  This presentation demonstrates why – and most importantly –  how we need to re-visualize society, especially our own place in it.  We need to reorganize ourselves as a species to face these powerful new forces that ultimately threaten to smother the knowledge, creativity, and wisdom from our one and only planet.

Our objective with this video is to communicate to all other New Value Movement applications that there is a new form of organization that we can all adapt in order to integrate ourselves in collaboration outside of BIG Data.

Only 20 minutes – be prepared for a mind bender!

The God App

David Chacko’s newest mystery novel, The God App, is a story about a detective tracking down the killer of the professor who invented a computer program that anticipates major moves in the financial markets. Whoever holds The God App is far above the law as the people who rule the world come calling for their guaranteed returns. It would seem that the only problem with The God App is for those who don’t have one…sound familiar?

***

If everyone had The God App then no one would have a God App. Today we are at a point where the only way to beat the disease is to lose the patient. As long we are competing with each other, we’ll never figure out how to predict the future, let alone fix it.

First, we seriously need to reorganize ourselves:

Instead of ranking, rating, and organizing each other as winners and losers of things, we need to organize ourselves as students and teachers of things.  This would allow us to exchange value with each other in a pre-dollar proto-economy without necessarily competing with each other.  Teachers would represent supply and students represent demand in a collaboration market.  Here is what the teacher/student scale may look like:

Second, we need to create an inventory

In order to build anything useful or meaningful, we need to have an large inventory of parts that can be easily combined, assembled, exchanged, and inter related.

Today, Wikipedia has grown to become the most comprehensive collection of definitive information about the world around us.  Everyone should rewrite their résumé as a set of Wikipedia URLs that most closely represent their talents, interests, experiences, skills, and abilities.  People will locate their selves on a knowledge graph.

A Wikipedia Cluster Ballcourtesy of Chris Harrison (click to enlarge)

The dimensional résumé:

When we combine Wikipedia Tag with the teacher/student scale, it forms a 2-dimensional array.  This new form of résumé/CV allows communities to store and exchange value among each other.  The CV array may look something like this (etc):

The Personal API

In this 2-dimensional form, everyone would own and control a string of code that represents their willingness and ability to build and collaborate economically in their community.

[tag1](-3), [tag2](+2), [tag3](1), [tag4](-2), [tag5](3),….,etc.  

This string can be processed computationally more like an API than a résumé. Most importantly,  anonymity can be preserved until the point when a transaction will actually take place.

Additionally, people can represent themselves by partial strings to create separate personas. Individual APIs can be combined among many people, and their personas, to create productive teams, communities, and corporations.

Adding dimensions to your API: Attributes such as location, schedule, context, and equipment can be attached in real time or travel dynamically wherever the persona is traveling.

The API Economy

With anonymous source data; everyone can conduct surveys of communities that would likely resemble the proverbial “Bell Curve” or, a normal distribution.  This is important because it would allow everyone the same ability to predict the likelihood that a collection of knowledge assets can execute a particular business plan.  People could see exactly what they need to do next in order to achieve a reliable probability of success in an economy.

Sounds Like Big Brother?

If this scares you, then consider this:  The God App is already here. Everything you do is captured electronically in a very similar form in order to create a predictive profile of you; what you will buy, who you will associate with, who you will vote for, etc.

Political campaigns, advertising agencies, Facebook, Google, Linkedin, corporations, government, Wall Street, and even organized crime (not to be redundant) use big data to gerrymander their way into your productivity potential.  The difference is that 99% are excluded from the predictive process, shackled behind the curtain, detached from their hopes, dreams, and intensions…mindlessly posting résumés, guessing, reacting, etc.

And the Good Lord said unto thee….

Hey dumb ass, wake up.  You can cut them all off at the nub with a simple app that a bunch of hackers could probably code-up during detention hall. Get this sucker viral and build the better FB already. The only way THEY can cut you down would be to cut themselves down.

Now THAT’s a God App.

*** 

(The implications of this app are vast – everything changes without changing anything. Follow-on articles will discuss these various nuances.  Any builders out there?)

Death By Résumé

Résumé: A French word for separating the body from the brain

We are entering a renewal in the work force. The global imperative is for the United States to become an innovation economy now. This is an entirely different animal than the Industrial revolution; I have long argued that the résumé system is by far the most archaic knowledge management “currency” of trade in use today.

The entire premise of the résumé is destitute, if not destructive, in the modern world. Words on a computer screen are a very low level ‘media form’ being used to describe a very high ‘media form’; social, creative, and intellectual capital. It’s like using crayons to design an aircraft.

If the key words are so important, why have any other words?

A manager always hires people that remind them of themselves. They estimate the future success of a candidate based on their own limited, and often static, past experiences. The world is moving so fast and has become so complex that no manager can possibly know enough to capitalize the future based on a viable statistical sample of past experiences – we’re all holding on for dear life in a hurricane of change. The problems and opportunities of the future are so huge, so important, and happening so amazingly fast yet the allocation of human resources is worse than random for a candidate pool.

Here are a few comments that I’ve picked off some recent Human Resources Community Blogs:

***

1. And our future goes with it:

“Most recruiting systems I’ve seen screen out innovators. Any résumé that is unique, different or convention-defying gets surreptitiously put in the junk pile.”

2. Start by looking in the junk pile:

“The Innovation Economy requires that the talent that creates the most value for an organization must rise to the top. Innovators are playing an increasing role in creating shareholder value – one might argue that they create the most shareholder value these days – and figuring out how to find and attract this very different breed of talent is one of the most critical initiatives you can launch within your organization.”

3. What part of “share holder value” are we having difficulty with?

“The most innovative people I have ever met don’t follow conventions in their experience or in their résumé. Or, they get bored very quickly when they can’t innovate or are forced to focus on operations, and efficiency. Most might look like (and even be) job hoppers”

4. Here is my favorite comment – I wish I could hug this person:

“I think it takes more than a résumé to screen an Innovator in or out. As blogs, blog posts, social networking, more powerful search tools, personal websites, the emergence of video on the web, talent platforms that offer CRM, etc. etc. etc. continue to become additional tools for an employer to consider in making a hiring decision, is the résumé still a currency for a candidate?”

***

We have an inventory and CAD model of every nut, rivet, and panel that goes on an airplane – why would we try to build anything without one?

So Please, let’s evolve out of the revolutionary times and develop a real community knowledge inventory. It must be computer enabled and based on a taxonomy that everyone knows and understands. It must be read, analyzed, sorted and vetted by social networks and communities of practice. It must integrate with knowledge assets from anywhere in the world.

Social Media Staffing: $3 Trillion Opportunity

As the World Churns:

The cost of placing an employee approaches 30% of that employee’s salary.  In fact, most head hunters charge roughly 30% of the employee’s salary to find the right person to fill the job opening for a client company.  Sometimes the employee is recruited from a competitor causing a net productivity loss in a market due to disruption or “churning”.

The company also has a choice of hiring with the internal HR department.  In this case, they are paying HR personnel to place ads, review resumes, check references, and conduct interviews.  These costs can also run into a substantial percentage of the new employee’s salary.  From previous articles, The Ingenesist Project suggests that these methods may not even result in the best employee selection:

The Unnecessary Market Friction

Text only Résumé is no longer adequate in our complex business environment due to subjectivity, semantic inconsistency, and the time and resources required for fully interpreting the content. The cost of delivering a résumé has been decreased by computers and the Internet while the cost of reviewing the résumé has remained constant.  Keyword search programs often eliminate excellent and creative candidates based on criteria not related to the candidate.   Managers tend to hire what reminds them of themselves – from world that no longer exists.

Estimated wasted productivity:

Suppose that 50 Million professionals; doctors, lawyers, engineers, professors, administrators, managers, and directors are employed in the United States.  Suppose that the average salary is 70,000 per year.  Suppose that they change jobs 3 times in their career and that the cost of placement is 30% of salary, or $21,000 dollars per placement.

The total cost is $ 1 Trillion dollars multiplied by 3 placements in a career equals nearly 3 Trillion Dollars.  Now, divide this by 30 years in a career and we can see that 100 Billion dollars worth of human productivity are spent every year not necessarily matching the most worthy employee to the most worthy employer.  This does not include moving expenses, salary increases, disruption costs, or inflation.

The probabilistic electronic résumé system

The Ingenesist Project specifies a vetted knowledge inventory that resides in Social Media. The knowledge inventory, probabilistic electronic résumé system, and innovation bank together would make the paper and language Résumé obsolete.  The percentile search engine would scan the knowledge inventory of the corporation and scan the knowledge inventory of the labor market and seek matches with high probability of increasing net productivity – not unlike Amazon.com predicts what book you would like to read next.

Options, options, give the market its options

election criteria can be adapted to reflect social priority such as reduced traffic congestion or to reflect strategic objectives such as incremental or blue sky innovation requirements.  Trades across companies and industries can occur opportunistically not unlike interdepartmental transfers or even like trades in professional sports are conducted today.

Companies can manage peaks and valleys in employment by trading across diverse industries. avoiding layoffs all together.  Employees that can stay productive in diverse industries transfer new ideas and discover transferrable efficiencies.  Experience gained would be added to the knowledge inventory to enhance the probabilistic résumé inventory available for continuous improvement and tangential applications of innovation enterprise.

A virtuous circle? … A 3 Trillion Dollar opportunity nonetheless.

If It Ain’t Broker, Don’t Fix It.

The function of the innovation economy is to improve information.  This has the derivative effect of improving knowledge which, by definition, fuels more innovation.   Monetization is easy if we simply improve information between any buyer and any seller in any market, anywhere.

…If it is, please do

For example, the job of a broker is to mediate the transaction between a buyer and a seller.  There are real estate brokers, mortgage brokers, stock brokers, etc.  Unfortunately, it is not always in the best interest of the broker to provide perfect information to both sides of the transaction.  Rather, the broker provides the minimum amount of information needed to complete the transaction, within which they build their commission for rendering such filtration services.

Any B-school undergrad can tell you that a market is most efficient when the buyer and the seller have exactly the same information as the other when making a transaction; this is called “perfect information”.  As such, “supply and demand” can do its magic.  Resources of production can be perfectly allocated in the glorious capitalist system.  The financial meltdown has shown us that the more complex the product is, the greater the deficiency in perfect information becomes.

The Holy Grail:

The great opportunity for social media is the ability to improve information in almost every transaction conceivable and create wealth.  The next generation of social media strategists will rise to tremendous heights in this domain of the Innovation Economy. However, the Holy Grail of information improvement is the knowledge asset market itself:

For example: Corporations have a great deal more information about employees than employees have about corporations.  People are encouraged to compete with each other, not to cooperate, for that carrot on a stick. They are trained to keep their salary a secret.  The “job statement” is in a secret code language that is only understood inside the company, not in the general work force.  Managers “broker” information by filtering it on the way up and on the way down the corporate structure.  It is little wonder that corporations are having a tough time with the social media stuff.

When the layoff comes, the outsourcing begins, or the life change happens, the resume is often no better than a bingo card in a key word lottery.  By the way, customers have even less information than the employees. Peanuts anyone?

The mothers of Invention

The knowledge market is the mother of all imperfect information markets.  Social media is a single iteration away from greatly improving information in all knowledge markets. Nothing happens without applied human knowledge, as such, the potential capitalization of the next generation of social media applications is as big as the market itself – and it will challenge the very structure of the traditional corporation and associated filtration services.

The Résumé Must Die

Résumé: A French word for separating the body from the brain

We are entering a renewal in the work force.  The global imperative is for the United States to become an innovation economy now.  This is an entirely different animal than the Industrial revolution; I have long argued that the résumé system is by far the most archaic knowledge management “currency” of trade in use today.

The entire premise of the résumé is destitute, if not destructive, in the modern world.  Words on a computer screen are a very low level ‘media form’ being used to describe a very high ‘media form’; social, creative, and intellectual capital.  It’s like using crayons to design an aircraft.

If the key words are so important, why have any other words?

A manager always hires people that remind them of themselves.  They estimate the future success of a candidate based on their own limited, and often static, past experiences.  The world is moving so fast and has become so complex that no manager can possibly know enough to capitalize the future based on a viable statistical sample of past experiences – we’re all holding on for dear life in a hurricane of change.   The problems and opportunities of the future are so huge, so important, and happening so amazingly fast yet the allocation of human resources is worse than random for a candidate pool.

While the Ingenesist Project discusses a solution at great length, I’ll just stop complaining and share a few comments (self titled) that I’ve picked off some recent Human Resources Blogs:

***

1. And our future goes with it:

“Most recruiting systems I’ve seen screen out innovators. Any résumé that is unique, different or convention-defying gets surreptitiously put in the junk pile.”

2. Start by looking in the junk pile:

“The Innovation Economy requires that the talent that creates the most value for an organization must rise to the top.  Innovators are playing an increasing role in creating shareholder value – one might argue that they create the most shareholder value these days – and figuring out how to find and attract this very different breed of talent is one of the most critical initiatives you can launch within your organization.”

3. What part of “share holder value” are we having difficulty with?

“The most innovative people I have ever met don’t follow conventions in their experience or in their résumé.  Or, they get bored very quickly when they can’t innovate or are forced to focus on operations, and efficiency.  Most might look like (and even be) job hoppers”

4. Here is my favorite comment – I wish I could hug this person:

“I think it takes more than a résumé to screen an Innovator in or out. As blogs, blog posts, social networking, more powerful search tools, personal websites, the emergence of video on the web, talent platforms that offer CRM, etc. etc. etc. continue to become additional tools for an employer to consider in making a hiring decision, is the résumé still a currency for a candidate?”

***

We have an inventory and CAD model of every nut, rivet, and panel that goes on an airplane – why would we try to build anything without one?

So Please, let’s evolve out of the revolutionary times and develop a real community knowledge inventory.  It must be computer enabled and based on a taxonomy that everyone knows and understands.  It must be read, analyzed, sorted and vetted by social networks and communities of practice. It must integrate with  knowledge assets from anywhere in the world.   A self-perfecting algorithm must be developed for a predictive percentile search engine in a pull system that seeks, matches, and deploys the ‘secret sauce’ of success, specific to any application, anywhere, any time – and fast.

The Knowledge Inventory; Part 4

Now, the machine readable resume is complete using numbers, symbols, and probabilities; we can quantify and qualify knowledge in the exact same format as a financial instrument. Now the knowledge looks like money. This individual is obviously a:

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

Specialist in Social Interaction, communities of practice, and economics at the 70th percentile related to educational research at the 80th percentile. They have Background in applied mathematic and physics at the 90th percentile. They are a trained ethicist at the 75th percentile. English is 90th percentile and Spanish is 60th percentile.

Each person’s resume can now be combined to represent the collective intelligence of a team. This is not unlike an investment portfolio, baseball team, or insurance policies. This expression carries all of the information that an entrepreneur needs in order to estimate the probability that the team can execute a business plan.

The inventory can be used in many ways such as finding supply and demand in a certain geographic area, securing business loans or venture capital, buying insurance, or place a financial value on the venture. As the organization learns, the new knowledge is retained in the equation through weighted averages – like the secret sauce of success – and can be used again in another venture. If one person leaves the project, they can be simulated by others.

Later, we will see how an uncountable number of applications and new-to-the-world businesses may emerge.

The fun is just beginning…..

A Few Predictions for the Innovation Economy

Here are a A Few Predictions for the Innovation Economy

Social Network will become the corporate structure of the future. They will spit out start-ups at an astonishing rate.

The “resume system” will be banished forever possibly earning the title of the cruelest human invention since the lobotomy.

The University System will be challenged – the relevance of the college degree will be questioned in an economy that favors unique combination of knowledge assets rather than everyone having the same “degree”.

Everyone will have visibility of supply and demand for knowledge assets meaning that employers and employees will have equal information about cost, availability, and demand.

Creative knowledge workers will earn micro-royalties for their participation in thousands of brainstorming sessions and product development discussions. Earnings will be shared openly and the percentile Search Engine.

The new Patent will be the “Secret Sauces” – the algorithm that entrepreneurs will develop to select their knowledge assets when producing specific innovation.

Teachers will forego salary in favor of an equity position in their students. The best teachers will make the most money. Universities will forego tuition in favor of an equity position in students; the best students attract the best mentors and universities. Apprenticeship will become commonplace.

The knowledge inventory and Percentile Search Engine system rewards people for doing what they are most passionate about. The dominant strategy for all players in an Innovation Economy (that which produces the most revenue) is for participants to pursue what they are naturally good at and passionate for – as long as there is a market for it.

Innovation bonds will return 80% interest or more with near-zero risk. Institutional investors, insurance reserves, and foreign investors will flood the market with venture capital.

Knowledge workers will outsource management.

The Fed will peg the dollar to productivity, not gold or silver – interest on deposits will track productivity increases due to innovation.

Social priorities will impact what gets invented or what stays on the shelf; Global Warming, Alternative Energy, Sustainable environments will have net positive business cases.

The flaw in market economics will be reversed. Technological change will precede economic growth eliminating the economics of debt (ref video). The financial system will be restored to a sustainable condition.

We know that innovation is the engine of all wealth creation and it will live in an integrated system. Knowledge will be reformatted to emulate a financial instrument.

A good article from business week

A great Blog: Jay Deragon and the relationship economy

The Capitalization of Knowledge – Innovation Bonds

With a computer readable knowledge inventory, local communities of practice, a percentile search engine algorithm, and the virtuous circle of finance, then future innovation cash flows can be predicted much more accurately and with far lower risk than with, say, the venture capitalists acting alone.

Were risk is predictable, cash flows are predictable and the portfolio of innovations can be diversified so if one business fails there is an equal chance that another will succeed and the risks cancel each other out. The cash flow of all the innovation enterprises can be combined into a single large steady cash flow. Just like companies do to raise money for expansion, the innovation bank can issue innovation bonds on the open market. The revenue from selling Innovation Bonds can return to the community to finance innovation and fund wealth creation at very low interest rates compared with venture capital today.

With a lower cost of venture capital and a system that supports open source innovation an astonishing amount of innovation will be unleashed in society.

The Capitalization of Knowledge – The Virtuous Circle

We have set up a new game for entrepreneurs to play called Innovation Economics. We have defined a currency and an inventory where knowledge is visible outside the construct of the corporation – and resident in social networks. We have also described a way for entrepreneurs to visualize the knowledge asset and the supply and the demand for knowledge assets. We have given them a tool for matching assets for profit. We have described how social networks will keep the game fair. We have outlined the structure of new business plans; the brain storming session, product development cycle, the neural network, and the multiplier effect. Future businesses will be built upon combination of these four structures and whatever else entrepreneurs can dream up.

We have described all of the pieces needed to form a new economy. Now we need to connect with the financial markets so that knowledge is readily convertible to other currencies.

For review;

With the financial bank, the entrepreneur assumes that they have the knowledge to execute a business plan and then they look for the money. The risk is that the entrepreneur does not in fact have enough knowledge.

With the Innovation Bank, we assume that we have the money, and we go to the bank to search for the knowledge. The risk is not having enough money to purchase sufficient expertise.

With both banks acting together – the risks cancel each other out and the innovation economy tends toward a ‘risk free’ cycle; the more knowledge you can assemble, the more money you can borrow. The more money you can assemble, the more knowledge you can assemble.

Now we have a virtuous circle. The more knowledge you have, the more money you can borrow; and the more money you have, the more knowledge you can borrow.

There is no shortage of money circling the globe – only a shortage of risk free places to put the money. The innovation economy is an environment of very high return for a very low risk and will attract a great deal of money to fund innovation enterprise.

Earlier we demonstrated that money represents human productivity. It follows that the places that have the greatest potential for increasing human productivity can create the greatest amount of wealth. Therefore, poor areas and marginalized economies with under utilized knowledge inventories or the injection of specific knowledge inventories, become the highest ROI centers in a risk-free system; a condition the explicitly favors the wealth equalization rather than wealth disparity.

The Knowledge Inventory; Part 2

Suppose we used the Dewey Decimal System to write a resume. A person could be described as a series of numbers instead of words and computers can search the numbers as they do key words today.

For example: 302, 307, 330, 607, 17, 500, 519

This person has experience in social interactions, communities, economics, educational research, ethics, natural sciences, statistical analysis

While memories of high school librarians may make us cringe, the computer loves numbers and classifications in this format. This will be important especially where knowledge is very specific. However, this simple list of numbers does not capture the knowledge of a person any better than the flawed “key word” search system that we are trying to replace. So we need to do something more.

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 at your brain, we would discover a huge network of experiences, relationships, books read, lessons learned, and people encountered. We would find a system of knowledge rather than random facts. 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.

Somehow we need to reflect this on our computer readable resume.

The Universal Decimal Classification (UDC) System was built on top of Dewey for precisely this reason, to catalog complex and dynamic knowledge. The UDC system uses symbols to connect and relate the categories.

• Addition (+) allows for a string of subjects to be listed together.

• Forward slash (/) defines a range – or a “system” of subjects matter.

• Colon (:) identifies categories that are related like; sports and medicine, ethics and law; innovation and economics.

• We can even employ Boolean Operations such as IF, AND, OR, NOT statements. For example; we can say Polo IF Horses NOT water OR trade marks

• In a Global Economy, we can employ language and culture assets as well.

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

For example: {20,12};[302+307], (330):[607+17]+[500/519]

Now we see that a computer language is emerging for human knowledge. This “resume” is for a specialist in Social systems and communities of practice. Knowledgeable in economics related to educational research, ethics, and natural sciences. They also employ statistical analysis in their work and can do it all in either English and Spanish

This is starting to demonstrate several key advantages:

1. It is Infinite and expandable to any field of knowledge
2. Paints a picture of knowledge not simply a list of information about a person.
3. Machine programmable and machine readable.
4. knowledge of several people can be combined to represent the knowledge inventory of a team, group, or company

We are getting closer to the elusive true “Knowledge Asset”. Part 3 will demonstrate how knowledge can be made to look like a buck, walk like a buck, and quack like a buck.

The Knowledge Inventory; Part 1

We identified the 5 essential elements of a market economy. Then, we discussed the currency of the Innovation Economy; people trade information and turn it into knowledge and new ideas using factors of production; Intellectual Capital Creative Capital and Social Capital. Now we’ll discuss the inventory strategy for knowledge assets.

Most companies have an inventory of every nut, rivet, or panel that they need to build something of value. Innovation Economics will be no different – we need an inventory of knowledge in our community so that we can build things with it.

Google and Wikipedia offer us a huge inventory of information – we read that information and turn it into knowledge through a mental process. Since knowledge can only exist inside people, we need a catalog of what people know. Our Knowledge inventory must be able to catalog and classify all human knowledge from the past, present, and future. It must account for Intellectual Capital, Social Capital, and Creative Capital. If done correctly, our knowledge inventory will begin to take on the characteristics of assets – knowledge will look like money.

Suppose that we say your resume is like a book about you. This isn’t too strange since every book that you have read has become part of your knowledge inventory. Every conversation with another person has become part of your inventory. Every new idea that you have tried, successful of failed, is part of your 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 as well.

The Dewey Decimal System is a way to catalog information. Even though Dewey is somewhat archaic, it provides a good example of how a knowledge inventory should be structured. Entrepreneurs will improve it if needed – so let’s just understand the concept for now.

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. For example, the term 519 identifies a piece of information. The main category is 5 = natural sciences, sub category is 1 = mathematics, and the next sub category is 9 = probabilities. So to have the number 519 on your resume says that you have knowledge and can solve problems related to probability and statistics.

You will also notice that some Dewey categories favor Social Capital, some favor Creative Capital, and some favor intellectual capital. While a knowledge inventory may sound daunting, computers and modern Internet applications can now do much of the work for us – in fact, they already are doing this work.

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