Agent-based models combine data and theory during both development and use of the model. As models have become increasingly data driven, it is easy to start thinking of agent-based modelling as an empirical method, akin to statistical modelling, and reduce the role of theory. We argue that both types of information are important where the past is…

Placed in the larger context of broadening the engagement with systems dynamics and complexity theory in school-aged learning and teaching, this paper is intended to introduce, situate, and illustrate--with results from the use of network supported participatory simulations in classrooms--a stance we call "embedded complementarity" as an…

Systems dynamics, a computer-based tool for visualizing how parts of an organization work together over time, is a valuable tool in administrative decision making. Feedback loops among elements mimic complicated behavior in real or imagined situations. An experiment using the technique with a simple research funding model validated its utility.…

Describes a Mega Planning simulation using a complete strategic planning process aimed at reinventing U.S. public education systems. The process involved scoping (developing the ideal mission, assessing mega-needs, and deriving mission objectives); planning (deriving the mission profile, performing function analyses, and evaluating performance…

The feasibility of integrated health human resources planning (IHHRP) was examined. The analysis focused on the following topics: ways of integrating labor market indicators into service planning; whether planning is sufficiently responsive and flexible to retain relevance and validity in rapidly changing health systems; different models and…