Some interesting links that caught my eye this week. Why Black Hole Interiors Grow (Almost) Forever Leonard Susskind has linked the growth of black holes to increasing complexity. Is it true that the world is becoming more complex? “It’s not only black hole interiors that grow with time. The space of cosmology grows with time,” he said. “I think it’s a very, very interesting question whether the cosmological growth of space is connected to the growth of some kind of complexity. And whether the cosmic clock, the evolution of the universe, is connected with the evolution of complexity. There, I …
In the world of non-profits, social change, and philanthropy it seems essential that change agents provide funders with a theory of change. This is nominally a way for funders to see how an organization intends to make change in their work. Often on application forms, funders provide guidance, asking that a grantee provide an articulation of their theory of change and a logic model to show how, step by step, their program will help transform something, address an issue or solve a problem. In my experience, most of the time “theory of change” is really just another word for “strategic …
I’m continuing to refine my understanding of the role and usefulness of principles in evaluation, strategy and complex project design. Last week in Montreal with Bronagh Gallagher, we taught a bit about principles-based evaluation as part of our course on working with complexity. Here are some reflections and an exercise. First off, it’s important to start with the premise that in working in complexity we are not solving problems, but shifting patterns. Patterns are the emergent results of repeated interactions between actors around attractors and within boundaries. To make change in a complex system therefore, we are looking to shift …
An interesting review essay by John Quiggan looks at a new book by Ellen Broad called Made by Humans: The Ai Condition. Quiggan is intrigued by Broad’s documentation of the way algorithms have changed over the years, from originating as “a well-defined formal procedure for deriving a verifiable solution to a mathematical problem” to becoming a formula for predicting unknown and unknowable futures. Math problems that benefit from algorithms fall firmly in the Ordered domains of Cynefin. But the problems that AI is now be deployed upon are complex and emergent in nature, and therefore instead of producing certainty and …
When working in complexity, and when trying to create new approaches to things, it’s important to pay attention to ideas that lie outside of the known ways of doing things. These are sometimes called “weak signals” and by their very nature they are hard to hear and see. At the Participatory Narrative Inquiry Institute, they have been thinking about this stuff. On May 31, Cynthia Kurtz posted a useful blog post on how we choose what to pay attention to: If you think of all the famous detectives you know of, fictional or real, they are always distinguished by their …