Ever wondered why you keep making bad decisions? In this video Kahneman explains.
In this excerpt from the event, ‘Why Nudge?’, renowned public thinker Cass Sunstein defends his groundbreaking nudge theory.
Lack of outside information, and dense cohesion within the network, removes all possibility for new ideas and innovations. We see this in isolated rural communities that are resistant to change, or Nodes with many direct connections that quickly disperse information; Nodes that connect otherwise disconnected parts of the network – they act as liaisons; Nodes that connect two or more clusters – they act as bridges between groups. We see this in isolated rural communities that are resistant to change, or in a classic “old boy network”. Yet, the dense connections, and high degree of commonality forms good work groups – clusters of people who can work together smoothly.
Intention is not a simple intrinsic property of human agents. Instead, it is often—perhaps always—co-created as a result of interactions with other people. Intention, therefore, can be thought of as an emergent property created from the interactions within a human system which then feeds back into the system and influences its future development. In particular, it influences the way in which at least one of the complex agents in the system will behave in future.
In my experience, most people in organizations are hard working, intelligent, and well-intentioned. Very few people get up in the morning with the express intent of messing up their organization. So why is it that in some organizations people blossom, while in others they wither?
The most effective and meaningful changes I’ve observed have come from both embracing creative practices and also establishing new foundations: generative principles of engagement, expanded mind sets, new frameworks, and entering into a “co-creative partnering” type of relationship with each other, and with the unknown. For example, weaving improv-based principles as the rules of engagement in meetings can transform both the energy and outcomes
How do animals use the information they obtain from their environment to move through space, time their activities, assess quantity, or remember the past?
The living world is filled with striped and mottled patterns of contrasting colours; with sculptural equivalents of those patterns realised as surface crests and troughs, with patterns of organisation and behaviour even among individual organisms. People have long been temped to find some ‘intelligence’ behind all these biological patterns. In the early twentieth century the Belgian Symbolist playwright Maurice Maeterlinck, pondering the efficient organisation of bee and termite colonies asked; What is it that governs here? What is it that issues orders? Foresees the future? Elaborates, plans and preserves equilibrium? Administers and condemns to death?
A video exploring small world networks in the human world and throughout nature.
We are increasingly aware that many our living systems – human and natural – are at risk today, as we face incredibly complex and interconnected challenges related to global security, environmental degradation, and inter-woven economies. Understanding the nature and dynamics of living systems, therefore, can shed light on how we think about our problems and our resources, and about the assumptions and the choices we make.
In this video Cesar Hidalgo at MIT asks intriguing questions about how social and economic systems interact. He sees networks as holding the knowledge and know-how necessary to ‘crystallise’ information into the things we use every day. The capacity of a network to hold this sort of knowledge and know-how is thus for him directly linked to economic activity. It helps explain how economic growth is variable and differs from place to place. It says that a theory of economics that doesn’t take into account the social complexity of society and its networks is incomplete. This 20 minute address at the RSA is a rapid tour through Cesar’s work. It is expanded in more depth in his book ‘Why information grows’. If you are exploring how social networks relate to economic activity this is well worth a look.
Chaos is a purely mathematical concept; it is an undeniable mathematical fact. We know that theoretical physics is built on mathematics, and that all theoretical physicists are applied mathematicians. The first question that I want to examine, then, is: why is it that, among all the practitioners of science, applied science, engineering disciplines, and human sciences, physicists were practically the last ones to be interested in chaos and to use it in their work?