DESIGN SPACE CONSTRUCTION: A FRAMEWORK TO SUPPORT
COLLABORATIVE, PARAMETRIC DECISION MAKING

This paper describes a framework of concepts and processes that support teams to construct and
explore design spaces maximizing social, environmental, and economic value. The framework guides teams
through processes of problem formulation, alternative generation, impact analysis, and value assessment. The
paper describes an extensible supporting computational infrastructure based on a system integration approach
and structured in four layers: parametric user interface, analysis engines, software interfaces, and data
visualization. The paper describes implemented functionality in terms of goal and preference-setting, parametric
modeling, energy, daylight, view, first cost, lifecycle cost and lifecycle carbon, and demonstrates application
through a test case. The paper concludes with evidence about the power and flexibility of the DSC framework with
the results of a professional case study, and a survey of professional and student architects who have been trained
in constructing and exploring parametric, performance-based design spaces

Haymaker J., Bernal, M., Marshall, T., Okhoya, V., Szilasi, A., Rezaee, R., Chen, C., Salveson, A., Brechtel, J., Deckinga, L., Hasan, H., Ewing, P., Welle, B. (2018). “Design Space Construction: A Framework to Support Collaborative, Parametric Decision Making.” Journal of Information Technology in Construction (ITCon), Vol. 23, pg. 157-178. http://www.itcon.org/2018/8