Complexity, quantification and the management of policy

Abstract

This paper explores the implications of complexity science for quantitative research in social and public policy. It is argued that there is some need for a revision of the use of quantitative methods, rather than an abandonment. Data and models can be used to explore social issues, rather than to explain them conclusively. Social statistics must still play a part in forming an overview and synthesis of social life. The use of reductionist methods to achieve very precise measurement of need, resource allocation and performance is questioned.