I propose a framework that explicates and distinguishes the epistemic roles of data and models within empirical inquiry through consideration of their use in scientific practice. After arguing that Suppes’ characterization of data models falls short in this respect, I discuss a case of data processing within exploratory research in plant phenotyping and use it to highlight the difference between practices aimed to make data usable as evidence and practices aimed to use data to represent a specific phenomenon. I then (...) argue that whether a set of objects functions as data or models does not depend on intrinsic differences in their physical properties, level of abstraction or the degree of human intervention involved in generating them, but rather on their distinctive roles towards identifying and characterizing the targets of investigation. The paper thus proposes a characterization of data models that builds on Suppes’ attention to data practices, without however needing to posit a fixed hierarchy of data and models or a highly exclusionary definition of data models as statistical constructs. (shrink)

This paper examines two parallel discussions of scientific modeling which have invoked experimentation in addressing the role of models in scientific inquiry. One side discusses the experimental character of models, whereas the other focuses on their exploratory uses. Although both relate modeling to experimentation, they do so differently. The former has considered the similarities and differences between models and experiments, addressing, in particular, the epistemic value of materiality. By contrast, the focus on exploratory modeling has highlighted the various kinds of (...) exploratory functions of models in the early stages of inquiry. These two perspectives on modeling are discussed through a case study in the field of synthetic biology. The research practice in question explores biological control by making use of an ensemble of different epistemic means: mathematical models and simulations, synthetic genetic circuits and intracellular measuring devices, and finally electronic circuits. We argue that the study of exploratory modeling should trace the ways different epistemic means, in different materialities, are being combined over time. Finally, the epistemic status of such novel investigative objects as synthetic genetic circuits is evaluated, with the conclusion that they can function as both experiments and models. (shrink)

This paper examines medical scientists’ accounts of their rediscoveries and reassessments of old materials. It looks at how historical patient files and brain samples of the first cases of Alzheimer’s disease became reused as scientific objects of inquiry in the 1990s, when a genetic neuropathologist from Munich and a psychiatrist from Frankfurt lead searches for left-overs of Alzheimer’s ‘founder cases’ from the 1900s. How and why did these researchers use historical methods, materials and narratives, and why did the biomedical community (...) cherish their findings as valuable scientific facts about Alzheimer’s disease? The paper approaches these questions by analysing how researchers conceptualised ‘history’ while backtracking and reassessing clinical and histological materials from the past. It elucidates six ways of conceptualising history as a biomedical matter: scientific assessments of the past, i.e. natural scientific understandings of ‘historical facts’; history in biomedicine, e.g. uses of old histological collections in present day brain banks; provenance research, e.g. applying historical methods to ensure the authenticity of brain samples; technical biomedical history, e.g. reproducing original staining techniques to identify how old histological slides were made; founding traditions, i.e. references to historical objects and persons within founding stories of scientific communities; and priority debates, e.g. evaluating the role particular persons played in the discovery of a disease such as Alzheimer’s. Against this background, the paper concludes with how the various ways of using and understanding ‘history’ were put forward to re-present historic cases as ‘proto-types’ for studying Alzheimer’s disease in the present. (shrink)

This paper examines medical scientists’ accounts of their rediscoveries and reassessments of old materials. It looks at how historical patient files and brain samples of the first cases of Alzheimer’s disease became reused as scientific objects of inquiry in the 1990s, when a genetic neuropathologist from Munich and a psychiatrist from Frankfurt lead searches for left-overs of Alzheimer’s ‘founder cases’ from the 1900s. How and why did these researchers use historical methods, materials and narratives, and why did the biomedical community (...) cherish their findings as valuable scientific facts about Alzheimer’s disease? The paper approaches these questions by analysing how researchers conceptualised ‘history’ while backtracking and reassessing clinical and histological materials from the past. It elucidates six ways of conceptualising history as a biomedical matter: (1) scientific assessments of the past, i.e. natural scientific understandings of ‘historical facts’; (2) history in biomedicine, e.g. uses of old histological collections in present day brain banks; (3) provenance research, e.g. applying historical methods to ensure the authenticity of brain samples; (4) technical biomedical history, e.g. reproducing original staining techniques to identify how old histological slides were made; (5) founding traditions, i.e. references to historical objects and persons within founding stories of scientific communities; and (6) priority debates, e.g. evaluating the role particular persons played in the discovery of a disease such as Alzheimer’s. Against this background, the paper concludes with how the various ways of using and understanding ‘history’ were put forward to re-present historic cases as ‘proto-types’ for studying Alzheimer’s disease in the present. (shrink)

Berichte zur Wissenschaftsgeschichte, Volume 45, Issue 3, Page 317-331, September 2022.

Berichte zur Wissenschaftsgeschichte, Volume 45, Issue 3, Page 317-331, September 2022.

In this paper we examine aspects of Canguilhem’s philosophy of biology, concerning the knowledge of life and its consequences on science and vitalism. His concept of life stems from the idea of a living individual, endowed with creative subjectivity and norms, a Kantian view which “disconcerts logic”. In contrast, two different approaches ground naturalistic perspectives to explore the logic of life and the logic of the living individual in the 1970s. Although Canguilhem is closer to the second, there are divergences; (...) for example, unlike them, he does not dismiss vitalism, often referring to it in his work and even at times describing himself as a vitalist. The reason may lie in their different views of science. (shrink)

Labeling, Recovering and Reactivating: The Role of Labels on Microscope Slides in the Finding System on the Basis of Alzheimer's Auguste D. Preparations. This study discusses the role of labels in the process of the reactivation of preparations. Labels on slides together with corresponding lists on cards or sheets build what is here called a specific finding system. In the sciences of the archive the disciplinary memory together with such a finding system are the basis to the ability of the (...) sciences today to reactivate preparations from the beginning of the last century as it occurs with the Auguste D. preparations. The case of Alzheimer's micropreparations of brain parts of Auguste D. – the case that he used to show that hers was a specific brain disease unknown before – serves to describe Alzheimer's writing on the labels. It is compared to slides and labels prepared by other medical researchers between the 1890s and 1920s and the respective finding systems. Being an epistemologicum, micropreparations, as they are data, in their hybrid status of both image and material in one, cross the boundaries between icon and index. This is proven by the reactivation of Auguste D. micropreparations in molecular biological studies over 100 years after their production. (shrink)

This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in (...) making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides a variety of alternative “roadmaps” aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research. (shrink)

When radiocarbon dating techniques were applied to archaeological material in the 1950s they were hailed as a revolution. At last archaeologists could construct absolute chronologies anchored in temporal data backed by immutable laws of physics. This would make it possible to mobilize archaeological data across regions and time-periods on a global scale, rendering obsolete the local and relative chronologies on which archaeologists had long relied. As profound as the impact of 14C dating has been, it has had a long and (...) tortuous history now described as proceeding through three revolutions, each of which addresses distinct challenges of capturing, processing and packaging radiogenic data for use in resolving chronological puzzles with which archaeologists has long wrestled. In practice, mobilizing radiogenic data for archaeological use is a hard-won achievement; it involves multiple transformations that, at each step of the way, depend upon a diverse array of technical expertise and background knowledge. I focus on strategies of triangulation and traceability that establish the integrity of these data and their relevance as anchors for evidential reasoning in archaeology. (shrink)