When systems organize themselves…
Here I introduce my observations of technologies and technical trends in the world of systems analysis, data analysis, predictions, analytic methods, and key public problems.
What Is a Complexity Scientist?
The science of complexity and the study of complex adaptive systems emerged in the late 1980s. It was spurred by a recognition that there were an a wide range of entities that were (a) systems by any reasonable definition of the term and (b) not designed, built, and maintained deliberately by humans. These ‘self-organized’ systems…
A Complexity Scientist Looks at Data “Science”
A Complexity Scientist Looks at Data Analytics
Much has been made in the modern era about the “third wave” of scientific thought. This is the exploitation of the immense amount of data that is (a) doubling every two years, (b) if placed on an i-phone would stretch halfway to the moon, and (c) presents an overwhelming challenge to anyone seeking to draw comprehensive or synoptic conclusions from the entire set of available data. Our tools, from software to bandwidth to analytics, are barely keeping up with the data explosion. It has been implied that the future belongs to those companies, countries, individuals, or organizations that can most quickly overcome the challenges. Moreover, the speed of exploitation and subsequent decision-making will differentiate success from failure among competitors and adversaries.
A Complexity Scientist Looks at Systems Analysis
Much has been made in the modern era about the “third wave” of scientific thought. This is the exploitation of the immense amount of data that is (a) doubling every two years, (b) if placed on an i-phone would stretch halfway to the moon, and (c) presents an overwhelming challenge to anyone seeking to draw comprehensive or synoptic conclusions from the entire set of available data. Our tools, from software to bandwidth to analytics, are barely keeping up with the data explosion. It has been implied that the future belongs to those companies, countries, individuals, or organizations that can most quickly overcome the challenges. Moreover, the speed of exploitation and subsequent decision-making will differentiate success from failure among competitors and adversaries.
A Complexity Scientist Looks at Systems Engineering
Much has been made in the modern era about the “third wave” of scientific thought. This is the exploitation of the immense amount of data that is (a) doubling every two years, (b) if placed on an i-phone would stretch halfway to the moon, and (c) presents an overwhelming challenge to anyone seeking to draw comprehensive or synoptic conclusions from the entire set of available data. Our tools, from software to bandwidth to analytics, are barely keeping up with the data explosion. It has been implied that the future belongs to those companies, countries, individuals, or organizations that can most quickly overcome the challenges. Moreover, the speed of exploitation and subsequent decision-making will differentiate success from failure among competitors and adversaries.
A Complexity Scientist Looks at Predictive Analytics
Much has been made in the modern era about the “third wave” of scientific thought. This is the exploitation of the immense amount of data that is (a) doubling every two years, (b) if placed on an i-phone would stretch halfway to the moon, and (c) presents an overwhelming challenge to anyone seeking to draw comprehensive or synoptic conclusions from the entire set of available data. Our tools, from software to bandwidth to analytics, are barely keeping up with the data explosion. It has been implied that the future belongs to those companies, countries, individuals, or organizations that can most quickly overcome the challenges. Moreover, the speed of exploitation and subsequent decision-making will differentiate success from failure among competitors and adversaries.
Ken Comer 