Boundaries are a funny thing, aren’t they?
Boundaries exist in various realms of our everyday life. Whether it’s within relationships, hobbies, or careers, boundaries are necessary (just ask your cell membranes). With clear boundaries, you can save yourself and/or your company from getting burned by an unforgiving fire. When we define our personal boundaries in social situations, they help us understand our own preferences and value systems. Boundaries in business and finance help us feel safe and secure — like when we’re protecting our assets, managing our career path or finding competitive advantages.
Organizational design is one area where designing boundaries has been used to encourage cooperation and innovation, foster large-scale cultural shifts, and develop self-responsible teams and employees. The idea of
liberating structures, for example, was first introduced by
William Torbert, a proponent of integral approaches to leadership. Torbert wanted to explore organizational structures that would guide people to develop the skills to guide themselves. Setting simple rules in a collaborative setting can make it easier for people who don’t know each other to create something emergent together.
If boundaries in the home and corporate workplace are seen in this positive, life-altering light, why are they initially thought to be restrictiv...
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Tags: adaptive, AI, cooperation, creativity, innovation, network, strategy
How does the way information is organized in networks affect what we can achieve as human beings?
In this issue of d4e we ask, “Where are the old borders and boundaries of our countries, firms and financial systems reshaping? How are the lines of our communities and even our ideologies shifting? How does cooperation work?” Network science applies research from information theory, game theory, complexity theory and physics to understand all of these things, which boil down to how information organizes itself into networks to shape the world we live in.
César A. Hidalgo, head of the Macro Connections group at
MIT Media Lab and author of
Why Information Grows, puts it a little more simply: No matter what the world is doing, it is organizing information. It’s this order we’re trying to understand when we want to build the systems we need to make our way in the world.
d4e: Why is something like information theory so important in understanding how the world works?
César Hidalgo: As a kid I wanted to study physics. I...
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Tags: cooperation, creativity, culture, innovation, leadership, network, teams
I am standing in the dark, looking at the shadows on the walls of this ancient cave when my pocket buzzes — Facebook wants to notify me that I’ve been invited to a play tonight. Who am I? You might say I am Plato, except, like, I also have a smartphone. Editor Stacy Hale had a great conversation with Bryan A. Knowles about AI and giving meaning to language.
Greek philosophy, among some silly things, asks the real questions, like: “What is the true nature of the universe?” This question might seem impossible to answer simply because it is impossibly vague, but in Plato’s famous
Allegory of the Cave, it is explained that we can never even look upon the face of Truth — our ability to know anything is intrinsically limited by our imprecise senses, psychological processes, and non-universal language.
BK: Keep in mind that this train of thought is carried on the assumption that one true Truth exists, something that Relativity and the Uncertainty Principle and the Uniqueness Problem all contradict. Regardless, Plato’s Cave remarkably sums up much of modern scientific skepticism: There are things we can never know, such as whether any given computer code will halt when executed; there are things we can never approximate, since all it takes is a single electron counted wrong and our weather predictions will quickly be way off; and, there are things we can never expect, such as ...
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Tags: AI, artificial intelligence, criticality, future, network
There is new light for the dismal science. Economics as a social science is concerned with the foundational factors underlying the production, distribution, and consumption of goods and services. And over the last century the application of economic analysis has spread and is seen across a diverse fields (business, finance, health care, government) and subjects (war, crime, education, law, politics, religion, social institutions, science, environment). Economics has become one of the most complex of fields to study and understand. But instead of growing more dismal, there is new light. Network scientists are providing old fields like economics with new ways to look at and understand these complex, networked systems. All too often, those furthest from the core discipline of a problem are most likely to provide an innovative solution.
In the words of MIT scientist
César Hidalgo, economics is a relatively ephemeral subject, resting on deep roots in a process that goes back to the foundations of energy and matter and information.
And in viewing the economy in such primal terms, he concludes that the factors that drive resilience and innovation in nature’s networks or ecosystems — namely diversity — should likewise be predictive of an economy’s resilience, innovation, and ability to grow.
Traditional economic measures fail to capture the kind of diversity that drives growth. Identifying factors of production such a...
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Tags: culture, diversity, economics, ecosystem, healthcare, innovation, network, scale, strategy
The term ‘resilience’ is thrown around quite a lot lately. Whether it be in our personal or professional lives, we all know that being resilient is crucial to both survival and success. But what does resilience really mean? In network science, resilience is the ability of a system to withstand perturbations from its environment. In plain English, that basically means to roll with the punches. What does that look like at the firm level — for strategists, teams, and organizational leaders? What knowledge can we apply from network behaviors toward building more resilient, sustainable communities?
"In nature, the systems most likely to survive are the ones that can adapt to diverse environmental circumstances. Often that means being able to change as demands from the environment become ever more complex."
Dr. John Izzo is an employee engagement expert, the author of six books including
Stepping Up, and a network science enthusiast who applies his knowledge of complex systems to helping organizations such as NASA, IBM, and Microsoft navigate complex challenges and transitions. According to Dr. Izzo, one of the best ways to understand resilience on an individual and community level is to look closely at nature. In nature, the systems most likely to survive are ...
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Tags: biology, creativity, culture, diversity, future, innovation, leadership, network, strategy
Editor’s Note: This is an original draft of an article that was first published in New Scientist
entitled “One rule of life: Are we posted on the border of order?”.
It’s not the midges that were the problem, says
Andrea Cavagna, but the kids. You’d think his efforts to record the movements of midge swarms in the public parks of Rome near sunset would be fraught with risks of being eaten alive by the little beasts — but these were a non-biting variety. Keeping away the children who gathered to watch what these folks were up to with their video cameras, generators and thickets of cabling was another matter. That, and the problem of finding a parking space in central Rome.
It’s not easy, he realised, for a physicist to turn field biologist.
The reason why Cavagna, based at Sapienza University in Rome, and his colleagues went midge-hunting sounds strange, perhaps even bizarre. The researchers wanted to know if midges behave like magnets. More specifically, if they act like magnets close to the point where heat flips them between a magnetic and non-magnetic state: a so-called critical phase transition.
“It’s a delicate balance: you need stability, but also responsiveness.”
&nbs...
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Tags: adaptive, biology, biomimicry, criticality, evolution, network, tipping point