Tag Archives: information

Innovation Ecosystems and Information Rheology

Innovation Ecosystems and Information Rheology

GUEST POST from Arlen Meyers

Rheology is the study of flow. There are many ways to measure flow. For example, Volume Flow is defined as the volume quantity that flows through a given section at a considered time interval. The most common volume units are:m3/s, m3/h, l/h, l/min, GPM (gallons per minute), Nm3/h (normal cubic meter per hour), SCFH (normal cubic foot per hour), among others.

Information rheology is the study of how information passes from the sender to the receiver, the resistance to that flow, and how to address it.

The concept applies also to how products and services flow from one place in the world to another.

A reverse innovation is any innovation that is adopted first in the developing world. To be clear: What makes an innovation a reverse innovation has nothing to do with where the innovators are, and it has nothing to do with where the companies are. It has only to do with where the customers are.

Historically, reverse innovation has been a rare phenomenon. In fact, the logic for innovations flowing downhill, from the rich world to the developing world, is natural and intuitive. After all, it is the richest customers in the richest countries that will always demand the newest technologies. In due time, the costs of new technologies come down, and incomes in the developing world rise. As a result, innovations trickle down. Right?

Be careful. The intuitive assumption that poor countries are engaged in a process of gradually catching up with the rich world has become toxic. It is a strategic blind spot that has the potential to sink an increasingly common aspiration: to generate high growth in the emerging economies. The assumption can even inflict long-term damage in home markets. That is because surprisingly often, reverse innovations defy gravity and flow uphill to the rich world. As a result, a defeat in a developing country half a world away can lead directly to a stinging blow in your own back yard.

How information flows, like on cell phones during riots and protests, is not an exact science. Percolation theory illuminates the behavior of many kinds of networks, from cell phone transmissions to the COVID R number.

Most discussions of innovation ecosystem creation and growth focus on the anatomy i.e. the components necessary to be successful. For example, one author describes the 5P’s of human capital:pillars, patrons, pioneers, professionals and partners.

However, equally as important is the physiology of clusters -how the cluster elements work together .One of the key determinants of an innovative organization or cluster is information rheology. There are three basic elements to the equation.

The first has to do with the number of nodes in the network, both internally and externally. Network theory tells us that the more nodes, the more value. Having one fax machine in the world added nothing. It took a lot to unleash the value , as the development of social media has exemplified.

The second has to do with how the nodes are connected. Some are robust and some are not. The connections between the nodes are called edges.

Finally, and most importantly, the two previous parts are not nearly as important as the velocity, relationships, acceleration and lack of resistance to the flow of information from one node to the next. We usually refer to this as a cluster or innovation district being “user friendly” and is typified by the free and rapid flow of information from one place to the next. Malcolm Gladwell described facilitators in the process as mavens, experts and connectors.

There are many causes of poor information flow, but, fundamentally, they come down to :

  1. 1. The sender does not communicate effectively or in a an appropriate way
  2. The receiver is unaware that the message was sent or does not understand it
  3. The systems for transmitting information and verifying receipt are inadequate
  4. Third party interference muddles the message

Poor information flow in sickcare results in dropped handoffs and referral leaks which are the primary causes of medical errors and waste. The lack of data interoperability is one of the root causes.

There are several kinds of intermediaries that facilitate information flow in an ecosystem.

  • Architects engage in strict agenda-setting and coordination activities
  • Gatekeepers support the knowledge extraction and dissemination of the information
  • Conductors take care of information acquisition, transmission, and task sharing
  • Developers create concrete assets for the network based on knowledge mobility
  • Auctioneers set the agenda and joint vision for the innovation network
  • Leaders motivate and foster the voluntary collaboration and identifying roles of network members
  • Promoter support ecosystem members to work towards the same goal
  • Facilitator bring together quite different, even competing, parties to work together

Whether it is making clinical handoffs better or improving the flow of information in an ecosystem or cluster, the obstacles are substantial and the systems for preventing information flow blockage need to constantly be maintained, which can be costly and time consuming.

If you want to accelerate regional innovation clusters and communities, don’t concentrate so much on connecting the senders and receivers. Focus on removing the barriers to the flow of information and how to push and pull it through the pipes.

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Training Your Quantum Human Computer

Quantum Human Computing

What is quantum computing?

According to Wikipedia, “Quantum computing is the use of quantum phenomena such as superposition and entanglement to perform computation. Computers that perform quantum computations are known as quantum computers.”

Rather than try and explain all of the ins and outs of how quantum computing differs from traditional computing and why it matters, I encourage you to check out this YouTube video:

In case you were curious, according to the Guinness Book of World Records, the current record holder for quantum computing is a Google machine capable of processing 72 Quantum Bits. There is supposedly a machine in China capable of 76 Qubits, but it has yet to be fully recognized as the new record holder.

So, what does quantum computing have to do with humanity and the human brain and our collective future?

Is the human brain a quantum computer?

The easy answer is – we’re not sure – but scientists are conducting experiments to try and determine whether the human brain is capable of computing in a quantum way.

As the pace of change in our world accelerates and data proliferates, we will need to train our brains to use less traditional brute force computing of going through every possibility one after another to do more parallel processing, better pattern recognition, and generating an increase in our ability to see insights straight away.

Connect the Dots

But how can we train our brains?

There are many different ways to better prepare your brain as we move from the Information Age to the Age of Insight. Let me start you off with two good ones and invite you to add more in the comments:

1. Connect the Dots

Many of us grew up doing connect-the-dot puzzles, and they seemed pretty easy. But, that is with visual queues. The image above shows a number of different visual queues. Connect the dots, especially without numbers or visual queues are great proving grounds for improving your visual pattern recognition skills.

2. DLAIY JMBULE

One of my favorites is the word game DAILY JUMBLE in my local newspaper. You can also play it online. The key here is to work not on using brute force to reorder the letters into a word, but trying to train your brain to just SEE THE WORD – instantly.

Succeeding at this and other ways of training your brain to be more like a quantum computer involves getting better at removing your conscious analytical brain from the picture and letting other parts of your brain take over. It’s not easy. It takes practice – continual practice – because it is really hard to keep the analytical brain out of the way.

So, are you willing to give it a try?

Stay tuned for the next article in this series “The Age of Insight” …

Image credits: Utrecht University, Pixabay


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Innovation Quotes of the Day – April 11, 2012


“Innovation transforms the useful seeds of invention into solutions valued above every existing alternative – and of course widely adopted.”

– Braden Kelley


“Innovation is fostered by information gathered from new connections; from insights gained by journeys into other disciplines or places; from active, collegial networks and fluid, open boundaries. Innovation arises from ongoing circles of exchange, where information is not just accumulated or stored, but created. Knowledge is generated anew from connections that weren’t there before.”

– Margaret J. Wheatley, author of Leadership and the New Science


What are some of your favorite innovation quotes?

Add one or more to the comments, listing the quote and who said it, and I’ll share the best of the submissions as future innovation quotes of the day!

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