Interest among historians, philosophers and sociologists of science in population-based biomedical research has focused on the randomised controlled trial to the detriment of the longitudinal study, the temporally extended, serial observation of individuals residing in the same community. This is perhaps because the longitudinal study is regarded as having played a secondary role in the debates about the validity of populations-based approaches that helped to establish epidemiology as one of the constitutive disciplines of contemporary biomedicine. Drawing on archival data and (...) publications relating to the Baltimore Longitudinal Study of Aging, we argue however that the historical development of the longitudinal study is richer and more significant than has been appreciated. We argue that this history is shaped by the tension between two sets of epistemic practices, devices and norms. On the one side there were those who emphasised randomisation and sampling to evidence claims about, and justify policies with respect to, the aetiology of disease. On the other side there were those who evoked the technical repertoire of physiological research, especially the notion of the ‘model organism’, to argue for a different integration of the individual in modern society. (shrink)

Causal complexities involved in biological phenomena often generate ambiguous experimental results that may create epistemic niches for new approaches and interpretations. The exploration for new approaches may foment momentum of larger epistemological shifts, and thereby introduce the possibilities of adopting new technologies. This paper describes British molecular biologist Robin Holliday’s cell aging research from 1963 to the 1980s that transformed from simple hypothesis testing to working on various alternative and integrative approaches designed to deal with complex data. In the 1960s, (...) hoping to use biochemical investigations of cells to settle a debate about whether DNA mutations or protein errors caused aging, Holliday carried out a series of experiments with fruit flies, fungi, and human fibroblast cells. The results seemed to demonstrate that cytoplasmic protein errors caused cell aging. However, other scientists obtained contradictory results and raised issues about potential flaws in Holliday’s experiments. In the 1970s, working as the director of the Genetics Division of the National Institute for Medical Research in Mill Hill, United Kingdom, Holliday relied on available talents of his associates, including computational expertise, to explore alternative hypotheses and approaches. By the early 1980s, they had worked out an epigenetic explanation and had established integrative, evolutionary models of cell aging that incorporated both DNA mutations and protein errors as critical factors. By delineating Holliday’s research path from simply testing hypotheses to integrating multiple factors involved in aging, this paper offers an account of the difficulties in targeting molecular cause in cell aging around the 1970s, whose failures nevertheless opened up an epistemic niche for integration. (shrink)

Increased use of scales in data-driven consumer digital platforms and the management of organisations has led to greater interest in understanding social and psychological measurement expertise and techniques as historically constituted ‘technologies of power’ in the making of what Stark has labelled the ‘scalable subject’. Taking a genealogical approach, and drawing on published and archival data, this article focuses on self-rated health, a scale widely used in population censuses, national health surveys, patient-reported outcome measurement tools, and a variety of digital (...) apps. The article suggests that the first methodological articulation of self-rated health by the investigators of the Cornell Study of Occupational Retirement (1951–58) provides a window into the key epistemic, institutional, and cultural uncertainties about psychological and social measurement, processes of adjustment to ‘old age’, and the capacity of individuals to value their own health. I propose that these uncertainties have become incorporated into extant and operational measurements of health. (shrink)

This paper discusses how growth and aging became interrelated phenomena with the creation of gerontology in the United States. I first show that the relation of growth to senescence, which had hardly attracted scientific attention before the twentieth century, started to be investigated by several experimental scientists around the 1900s. Subsequently, research on the connection between the two phenomena entered a new domain through the birth of gerontology as a scientific field comprised of various disciplines, many of which addressed growth. (...) Due to gerontologists’ efforts, the association between aging and growth became stronger and more multifaceted within the discursive and organizational matrix constituting the new science, leading to a broader definition of senescence with an ambiguous connection to chronological age. Furthermore, as gerontologists borrowed the cultural agendas as well as research methods from studies of growth, aging began to be defined as a phenomenon that could be actively controlled and managed in both social arenas and laboratory environments. (shrink)