Journal of Policy and Complex Systems: 1st CFP

Policy Studies Organization has announced the new Journal of Policy and Complex Systems, published twice a year starting October 1, 2013. The following is the 1st call for papers:

Aims and Scope
  • Promote professional and public understanding of the relationship between policy studies and complex systems thinking, evolving greater understanding and engagement.
  • Establish a venue for reporting results of exploring, developing, and evaluating policies using cutting edge computational approaches to policy research, including complexity theory, agent-based modeling/simulation, chaos theory, fractals, dynamical systems, and the science of networks.
  • Establish a repository of data and systems developed through research efforts reported in the journal.
  • Bring together a community of multi-disciplinary and inter-disciplinary scholars to address common societal concerns, including social scientists, natural scientists, computational scientists, humanists, policy analysts, public administrators, and policy makers.
Introductory Issue Topics & Call for SubmissionsDeadline April 15, 2013
  • Overview of Public Policy Methodological Approaches and Best Practices
  • Overview of Complexity & Systems Methodological Approaches and Best Practices
  • Public Policy & Complexity Theory/Systems Theory
  • Data Acquisition for Systems-based Policy Research
  • The Element of Time in Complex Systems Simulations
  • Policy Analysis and Evaluation Within Complex Systems Framework
  • Application of Complex Systems Policy Research

Article submission length should be between 5,000 to 7,000 words and include simulations (if applicable), while Letters to the Editor should be 300 words or less. Submissions received after the April 15, 2013 deadline will be considered on a rolling basis for future issues.

From the journal description:
"The world around us is a complex web of relationships connecting people, companies, countries, cells, or species into a system that provides the context for our daily existence. Given this complexity, it is hard to imagine any interesting problem that can be solved in isolation, i.e. without taking into consideration the adequate representation of both system constituent components and their mutual influences. Under such circumstances, it is imperative that our policies at all levels (local, state, country, the world), intended to regulate such systems, take into consideration this richness of both relevant system elements and relationships among them.

Events get even more complicated when we are faced with natural and social systems that include transitions and oscillations among their various phases. A new phase begins when the system reaches a threshold that marks the point of no return. These threshold effects are found all around us. In economics, this could be movement from a bull market to a bear market; in sociology, it could be the spread of political dissent, culminating in rebellion; in biology, the immune response to infection or disease as the body moves from sickness to health; in ecology, it could be an unchecked growth of species due to the removal of a top-level predator in the system; in healthcare, it could be an uneven access to services due to the poorly devised policy regulating health insurance policies. Companies, societies, markets, or humans rarely stay in a stable, predictable state for long. Randomness, power laws, and human behavior ensure that the future is both unknown and challenging. How do events unfold? When do they take hold? Why do some initial events cause an avalanche while others do not? What characterizes these events? What are the thresholds that differentiate a sea change from insignificant variation? And, most importantly, what can we do at the policy level to promote activities that will bring about positive, long-term, and sustainable changes in the system of interest?

Many methods and techniques have been developed to deal with the complexity of systems, including systems dynamics, fractals, chaos theory, science of networks, and complexity theory. They provide a powerful set of tools to model and/or simulate phenomena that are characterized by their scale-free and/or small-world network structure, sensitivity to initial conditions, power-law distributions, adaptability, self-organization, feedback loops, and emergent properties. However, applying such tools on any real-world problem will require the mastery of intricacies of both public policy and a wide variety of discipline-specific expertise, working together to uncover principles that both transcend and complement disciplinary contributions."

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