Social Complexity Overview


In this module we will be giving a quick overview to the application of complexity theory to the social sciences what we call social complexity, we start off with a very broad discussion surrounding the scientific enterprise as we talk about paradigms in general and the Newtonian paradigm in particular. We will go on to talk about how the basic assumptions underpinning our traditional formal approaches, begin to fail when we start to deal with more complex systems consisting of a very many autonomous, diverse, components, that are highly interconnected and interdependent, as often is the case within the social sciences. We briefly introduce complexity theory as an alternative approach to modeling these complex systems, an approach that is based upon a paradigm inherited from systems theory. Finally we touch upon how complexity science is based upon a new set of computational methods and how big data is set to have a transformative effect on the social sciences in the coming decades

Economic Theory Overview


In this video we will be firstly talking about what theories and paradigms are and providing a little insight to their basic workings before moving on to define this subject that we call economics. We will outline some of the major considerations involved in the study of economics, including trying to understand the logic behind the decision making of agents, theories of economic value, the dynamics of cooperation and competition, economic institutions and economic development

The Network Paradigm


In this video we look at what we call the network paradigm, a paradigm is the set of methods and assumptions underlying a particular scientific domain as such it constitutes a whole way seeing the world

Theory of Emergence


In this video we will be giving a very high-level overview to the concept of emergence and the different aspects to it that we will be covering in more detail in future modules in the course.

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