Making Predictions
Computing Populations
Bibliographic Data
| ID | 5337339 |
|---|---|
| Authors | Christine Holmberg (0000-0002-8852-4620, Charité - Universitätsmedizin Berlin, corresponding author), Christine Bischof (Department of European Ethnology, Humboldt-University of Berlin, Germany), Susanne Bauer (0000-0001-8382-1653, Department of Social Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany) |
| Year | 2013 |
| Volume | 38 |
| Issue | 3 |
| Pages | 398-420 |
| Publication date | 2013-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Science Technology & Human Values (JOURNAL) |
| Journal identifiers | ISSN: 0162-2439 • E-ISSN: 1552-8251 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0162243912439610 |
| OpenAlex | W2169177212 |
| Language | EN |
| Citations received | 18 |
| References cited | 28 |
Statistics constitute the social universe of which they are gathered. The foundation necessary to develop quantified knowledge about society is the population. If quantified knowledge changes society, the question arises on how individuals become to be represented as population. The population has to be extracted from individuals in a process that we call "populationisation." This encompasses the development of the individual into a segment of a population through the compilation of individual data into population data and its analysis. To describe the process of populationisation, we follow a statistical risk assessment tool, the German Diabetes Risk Score, from its inception in a cohort study to its entry into the public sphere of German society. The population is extracted from individuals that function as research subjects through an identification number. Preprocessed information is entered into a dynamic database that enables its rearrangement according to main aggregates. Through populationisation, a signified is enacted that can be sliced up and that is equal in all its parts. Now predictions can be computed and fed back to society as tools of moral judgment. The acting individual and "society" are-numerically and literally!-entangled in the production and enactment of risk knowledge
Biology · Data science · Geography · German · German population · Population · Sociology · Computer Science · Demography · Education, Healthcare and Sociology Research · Health and Medical Studies · Health Promotion and Cardiovascular Prevention · Ecology
The Unique and the Universal
Peopled By Data: Statistical Knowledge Practices, Population-Making, and the State
Indexing, Coding, Scoring
The Mutual Enablement of Research Data and Care
Reproducing the nation
Shade trees for the next generation’
Accounting for accountable care
Courtesy work
Datafication and accountability in public health
Following the algorithm
Well, I knew this already' - explaining personal genetic risk information through narrative meaning-making
Where health and environment meet
Reframing the environment in data-intensive health sciences
The nation‐state in its state‐istics (Belgium, 1846–1947)
From Administrative Infrastructure to Biomedical Resource
Making addictions in standardised screening and diagnostic tools
Modeling Population Health
Toxic Epidemics
Science in action
Epidemiologische Räume der Wissensproduktion in Europa
Prescribing by Numbers
The Right Tools for the Job
The Empire of Chance
Whose Science? Whose Knowledge?
Ethnographic Representation, Statistics, and Modern Power
Individualised risk estimation and the nature of prevention
Sorting Things Out
Trust in Numbers
Patterns of alcohol consumption in 10 European countries participating in the European Prospective Investigation into Cancer and Nutrition (Epic) project
Physical activity of subjects aged 50–64 years involved in the European Prospective Investigation into Cancer and Nutrition (Epic)
Overweight, obesity and fat distribution in 50- to 64-year-old participants in the European Prospective Investigation into Cancer and Nutrition (Epic)
How institutions think
Young, Gay, and Suicidal
"Constructing "High-Risk Women
Framing disease
Simians, Cyborgs, and Women
| Citations per year | 1.38 |
|---|---|
| Citation span | 2013 - 2023 (11) |
| Highly cited | No |