Now acknowledged as a classic in the philosophy of science, A Realist Theory of Science is one of the very few books to transform not only our understanding of science, but that of the nature of the world it studies. The book has inspired the multi-disciplinary and international movement of thought known as critical realism. Re-issued with a new introduction.

All social phenomena, all social interaction, anything that exists in society, is temporal. Anticipation of futures is a necessary part of all social actions, and particularly so in the world of modern organisations. If social sciences are to be relevant they should also be able to say something about possible and likely futures. My paper articulates an ontology for futures studies and then, on that ontological basis, specifies the methodology of futures studies. Critical realist ontology explains why there are multiple (...) possible futures. The actual is only a part of the real world, which also consists of non-actualised possibilities and unexercised powers of the already existing structures and mechanisms that are transfactually efficacious in open systems. Social sciences are also involved in envisaging better possible futures in terms of concrete utopias. However, building concrete utopias is not the only task of a futurologist. We are also interested in other possible and likely futures, and in determining the ways in which our actions and the actions of others contribute—sometimes via unintended effects and consequences—to making some of them real. Empirico-analytical models have a role to play, as do systematic modelling of geo-historical realities: embodied agency and actors; modes of action; rules and principles; resources, as competencies and facilities; practices; relational structures ; and self-organising social systems. However, scenario-construction should also be seen as self-reflective exercise in cultural studies, moral philosophy and creative ability. (shrink)

All social phenomena, all social interaction, anything that exists in society, is temporal. Anticipation of futures is a necessary part of all social actions, and particularly so in the world of modern organisations. If social sciences are to be relevant they should also be able to say something about possible and likely futures. My paper articulates an ontology for futures studies and then, on that ontological basis, specifies the methodology of futures studies. Critical realist ontology explains why there are multiple (...) possible futures. The actual is only a part of the real world, which also consists of non-actualised possibilities and unexercised powers of the already existing structures and mechanisms that are transfactually efficacious in open systems. Social sciences are also involved in envisaging better possible futures in terms of concrete utopias. However, building concrete utopias is not the only task of a futurologist. We are also interested in other possible and likely futures, and in determining the ways in which our actions and the actions of others contribute—sometimes via unintended effects and consequences—to making some of them real. Empirico-analytical models have a role to play, as do systematic modelling of geo-historical realities: embodied agency and actors; modes of action; rules and principles; resources, as competencies and facilities; practices; relational structures (of power); and self-organising social systems (also as collective actors). However, scenario-construction should also be seen as self-reflective exercise in cultural studies, moral philosophy and creative ability (in the same way that research and development or the arts are creative). (shrink)

This paper considers the possibility of prediction in land use planning, and the use of statistical research methods in analyses of relationships between urban form and travel behaviour. Influential writers within the tradition of critical realism reject the possibility of predicting social phenomena. This position is fundamentally problematic to public planning. Without at least some ability to predict the likely consequences of different proposals, the justification for public sector intervention into market mechanisms will be frail. Statistical methods like regression analyses (...) are commonly seen as necessary in order to identify aggregate-level effects of policy measures, but are questioned by many advocates of critical realist ontology. Using research into the relationship between urban structure and travel as an example, the paper discusses relevant research methods and the kinds of prediction necessary and possible in spatial planning of urban development. Finally, the political implications of positions within theory of science rejecting the possibility of predictions about social phenomena are addressed. (shrink)

This paper discusses the practice of cost-benefit analyses of transportation infrastructure investment projects from the meta-theoretical perspective of critical realism. Such analyses are based on a number of untenable ontological assumptions about social value, human nature and the natural environment. In addition, main input data are based on transport modelling analyses based on a misleading `local ontology' among the model makers. The ontological misconceptions translate into erroneous epistemological assumptions about the possibility of precise predictions and the validity of willingness-to-pay investigations. (...) Accepting the ontological and epistemological assumptions of cost-benefit analysis involves an implicit acceptance of the ethical and political values favoured by these assumptions. Cost-benefit analyses of transportation investment projects tend to neglect long-term environmental consequences and needs among population groups with a low ability to pay. Instead of cost-benefit analyses, impact analyses evaluating the likely effects of project alternatives against a wide range of societal goals is recommended, with quantification and economic valorisation only for impact categories where this can be done in an ontologically and epistemologically defensible way. (shrink)

This paper discusses the practice of cost-benefit analyses of transportation infrastructure investment projects from the meta-theoretical perspective of critical realism. Such analyses are based on a number of untenable ontological assumptions about social value, human nature and the natural environment. In addition, main input data are based on transport modelling analyses based on a misleading `local ontology' among the model makers. The ontological misconceptions translate into erroneous epistemological assumptions about the possibility of precise predictions and the validity of willingness-to-pay investigations. (...) Accepting the ontological and epistemological assumptions of cost-benefit analysis involves an implicit acceptance of the ethical and political values favoured by these assumptions. Cost-benefit analyses of transportation investment projects tend to neglect long-term environmental consequences and needs among population groups with a low ability to pay. Instead of cost-benefit analyses, impact analyses evaluating the likely effects of project alternatives against a wide range of societal goals is recommended, with quantification and economic valorisation only for impact categories where this can be done in an ontologically and epistemologically defensible way. (shrink)

This work is a clear, jargon-free introduction to the practice and theory of critical realism in the social sciences. The book emphasises the importance of concept formation, and suggests techniques for this in the social sciences. Methodological principles are presented as part of a practical model for an explanatory social science. In order to relate theory and empirical observations, the authors stress developing and applying abstract theories of social structures and mechanisms. The book reveals that the question is not what (...) type of method is best, but rather what different methods can do, and how can they be combined. (shrink)