Although the techniques of simulations and systems analysis are often abused, they can provide a useful framework for rural development research. However since system simulation models can generate what appears to be precise data, it is well to remember that results are merely projections of what would be expected to occur if all the conditions of the model were met. Often the usefulness of a simulation model can be enhanced by interdisciplinary cooperation. Although this can cause communication problems, it frequently results in valuable insights. Three kinds of simulation models have been used in rural research; dynamic feedback commodity models, area models, and resource use models. Some of the variables that interact in simulation models are economic, physical, cultural/sociological, and biological. Using an interdisciplinary system simulation model we should be able to anticipate the effects of a change in a rural development program on a community's population, income, environment, service facilities, and tax structure. (MG)