Across a wide domain of human enquiry, and most notably in the fields of physics and biology, the ‘S-curve’ or logistics curve is a well-established tool. At its simplest, it describes, mathematically, how some kind of change permeates or diffuses through a system or population. The typical S-curve shape shows an initial period of slow change; a period of acceleration, and rapid change; and a period in which change slows down as some sort of limit to growth is approached.
This project seeks to better understand the S-curve in order to promote pro-environmental behaviour change. The three key research questions are:
• What is the actual mechanism by which an S-curve occurs?
• Why does an S-curve pattern appear in some cases, but not others?
• Is it possible to intervene in such a way as to nudge development along an S-curve path?