Quantifying “cliffs” in design space

Quantifying “Cliffs” in Design Space

Purpose: This paper studies the regions of parameter space of engineering design in which performance is sensitive to design parameters. Some of these parameters (for example, the dimensions and compositions of components) constitute the design, but others are intrinsic properties of materials or Nature. The paper is concerned with narrow regions of parameter space, “cliffs”, in which performan...

Walking Atop the Cliffs

Despite a growing body of descriptive, theoretical and practical knowledge about Information Systems Development (ISD), large-scale information system development and implementation projects still fail in high numbers. The deeper causes of such failures are only partially understood. This study uses an action research approach in which prescriptions and recommendations drawn from research on an...

Synchrony: quantifying variability in space and time

1. There is growing recognition that linking patterns to their underlying processes in interconnected and dynamic ecological systems requires data sampled atmultiple spatial and temporal scales. 2. However, spatially explicit and temporally resolved data sets can be difficult to analyze using classical statistical methods because the data are typically autocorrelated and thus violate the assump...

Shared Space in Today’s World: Quantifying and Classifying the Range in Design

Quantifying design exclusion