Well-being, happiness and quality of life are now established objects of social and medical research. Does this science produce knowledge that is properly about well-being? What sort of well-being? The definition and measurement of these objects rest on assumptions that are partly normative, partly empirical and partly pragmatic, producing a great diversity of definitions depending on the project and the discipline. This book, written from the perspective of philosophy of science, formulates principles for the responsible production and interpretation of this diverse knowledge. Traditionally, philosophers' goal has been a single concept of well-being and a single theory about what it consists in. But for science this goal is both unlikely and unnecessary. Instead the promise and authority of the science depends on it focusing on the well-being of specific kinds of people in specific contexts. Skeptical arguments notwithstanding, this contextual well-being can be measured in a valid and credible way - but only if scientists broaden their methods to make room for normative considerations and address publicly and inclusively the value-based conflicts that inevitably arise when a measure of well-being is adopted. The science of well-being can be normative, empirical and objective all at once, provided that we line up values to science and science to values.

Well-being, happiness and quality of life are now established objects of social and medical research. Does this science produce knowledge that is properly about well-being? What sort of well-being? The definition and measurement of these objects rest on assumptions that are partly normative, partly empirical and partly pragmatic, producing a great diversity of definitions depending on the project and the discipline. This book, written from the perspective of philosophy of science, formulates principles for the responsible production and interpretation of this diverse knowledge. Traditionally, philosophers' goal has been a single concept of well-being and a single theory about what it consists in. But for science this goal is both unlikely and unnecessary. Instead the promise and authority of the science depends on it focusing on the well-being of specific kinds of people in specific contexts. Skeptical arguments notwithstanding, this contexual well-being can be measured in a valid and credible way - but only if scientists broaden their methods to make room for normative considerations and address publicly and inclusively the value-based conflicts that inevitably arise when a measure of well-being is adopted. The science of well-being can be normative, empirical and objective all at once, provided that we line up values to science and science to values.

This collection examines the uses of quantification in climate science, higher education, and health. Numbers are both controlling and fragile. They drive public policy, figuring into everything from college rankings to vaccine efficacy rates. At the same time, they are frequent objects of obfuscation, manipulation, or outright denial. This timely collection by a diverse group of humanists and social scientists challenges undue reverence or skepticism toward quantification and offers new ideas about how to harmonize quantitative with qualitative forms of knowledge. Limits of the Numerical focuses on quantification in several contexts: climate change; university teaching and research; and health, medicine, and well-being more broadly. This volume shows the many ways that qualitative and quantitative approaches can productively interact-how the limits of the numerical can be overcome through equitable partnerships with historical, institutional, and philosophical analysis. The authors show that we can use numbers to hold the powerful to account, but only when those numbers are themselves democratically accountable.

This collection examines the uses of quantification in climate science, higher education, and health. Numbers are both controlling and fragile. They drive public policy, figuring into everything from college rankings to vaccine efficacy rates. At the same time, they are frequent objects of obfuscation, manipulation, or outright denial. This timely collection by a diverse group of humanists and social scientists challenges undue reverence or skepticism toward quantification and offers new ideas about how to harmonize quantitative with qualitative forms of knowledge. Limits of the Numerical focuses on quantification in several contexts: climate change; university teaching and research; and health, medicine, and well-being more broadly. This volume shows the many ways that qualitative and quantitative approaches can productively interact-how the limits of the numerical can be overcome through equitable partnerships with historical, institutional, and philosophical analysis. The authors show that we can use numbers to hold the powerful to account, but only when those numbers are themselves democratically accountable.