Design and Analysis of Experiments in Modern-Day Science and Technology

March 2010

Design and analysis of experiments is a systematic strategy to generate and analyze data for efficient study of input-output relationships or models by deliberately varying the inputs. In recent years, however, we have witnessed dramatic changes and paradigm shifts in the concept and process of data collection for causal investigation in many scientific fields, including physical, chemical, biological, computer, and engineering sciences.

The objective of this workshop is to identify and synthesize critical research issues in experimental design across fields affected by the changing paradigm and that have the potential of making a profound impact on causal investigation in scientific studies.