This is what Joshua M. Epstein calls generative science.
Sociocybernetics integrates sociology with second-order cybernetics and the work of Niklas Luhmann , along with the latest advances in complexity science. In terms of scholarly work, the focus of sociocybernetics has been primarily conceptual and only slightly methodological or empirical. As a middle-range theoretical platform, social complexity can be applied to any research in which social interaction or the outcomes of such interactions can be observed, but particularly where they can be measured and expressed as continuous or discrete data points.
One common criticism often cited regarding the usefulness of complexity science in sociology is the difficulty of obtaining adequate data. From childhood friendships and teen pregnancy  to criminology  and counter-terrorism ,  theories of social complexity are being applied in almost all areas of sociological research. In the area of communications research and informetrics , the concept of self-organizing systems appears in mids research related to scientific communications.
In the first decade of the 21st century, the diversity of areas of application has grown  as more sophisticated methods have developed. Social complexity theory is applied in studies of social cooperation and public goods ;  altruism ;  voting behavior ;   education ;  global civil unrest ;  collective action and social movements ;   social inequality ;  workforce and unemployment ;   economic geography and economic sociology ;  policy analysis ;   health care systems ;  and innovation and social change ,   to name a few.
A current international scientific research project, the Seshat: Global History Databank , was explicitly designed to analyze changes in social complexity from the Neolithic Revolution until the Industrial Revolution.
From Wikipedia, the free encyclopedia. Social science [ edit ] Complex society Complexity economics Complexity theory and organizations Differentiation sociology Econophysics Engaged theory Network Analysis and Ethnographic Problems Personal information management Sociology portal Systems science portal.
Chaos, Complexity and Sociology: Myths, Models, and Theories. Central problems in Social Theory: Action, Structure and Contradiction in Social Analysis.
The Structure of Social Action: Essays on Self-Reference , New York: Managing Chaos and Complexity in Government: The Differentiation of Society. The New Science of Networks. The Development of Social Network Analysis: A Study in the Sociology of Science.
Simulation for Social Scientists , 2nd Edition. Studies in Agent-Based Computational Modeling.
Conference held at the National Defense War College: Archived at the Wayback Machine. Unlike many books that presume…. Paperback — Routledge Complexity and Emergence in Organizations.
Taking a critical look at major perspectives on innovation, this book suggests that innovation is not a designed functional activity of a firm or an intentional process through which firms anticipate changes in conditions. Jose Fonseca proposes that the concepts behind the innovation…. The second half of the twentieth century witnessed the emergence of the most complex global organizations ever known. Taking a complexity theory perspective, this book explores the key factor that sustains them: The book examines how leadership is currently understood primarily from a….
Business leaders are expected to be 'in control' of the situation in which their businesses find themselves. But how can organizational leaders and managers control matters entirely out of their hands; such as the next action a competitor takes, or the next law a government may pass?
In stable conditions, it tends to be a narrowing and converging process of testing. In chaotic conditions it is a process of expansion, divergence and discovery Cheng and Van de Ven, The latter facilitates radical innovation, the former incremental innovation. Is a balance between them needed? This assists them survive over both long and short term futures. We consider how notions of organizations as complex adaptive systems can offer new insights into our understanding of learning and innovation.