History and background. Sensing the body, sensing the environment, but also the social media, financial sphere. Nothing is new. Quantification can be tracked down to the Renaissance. Normal distributions of dice as away tame a chaotic world. Western understanding of probabilities a non-binary way of conceptualizing the future. Rationalizing how is something going to happen.
Accounting in business puts business on the side of ‘enlightened’ science (Mary Poovey). Mobilization of quantification. History of data as increasing levels of abstraction, connected to the management of large scale populations (James Scott). Categories. The word statistic – creating numbers about population, creating management; numbers becoming way to manage people through measurement. People get excluded when state cannot measure them. Statistic becomes normative categories.
Everything feels new. Communication structure – constantly connect to internet and constantly sending data. Infrastructural development. Sensors aren’t smoke to the fire. Sensors help people pinpoint what they don’t know.
Materials. Technical feasibility. Materials work on different levels – industrial design (physical thing), interaction design (pixels we click on), data design, marketing. Notions of data flows, overflows, and frictions. Who collects data, who controls data. Data exhaust. Semiotics, visual languages and other affordances to indicate. Partial indications.
Subjectivity and personhood. What kind of subjectivity does/ could data systems mobilize? Foucauldian approaches (Lupton). Data as kinship (Maurer). Deleuzian approaches (Ruppert). Strathernian approaches (TBD). Dow-Schull’s notion of being relieved from choice-making:
‘By offering consumers a way to simultaneously embrace and outsource the task of lifestyle management such products at once exemplify and short-circuit cultural ideals for individual responsibility and self-regulation.”
Activist/ social justice approaches (Ottinger, Greenfield)
Institutions. Frameworks and assumptions in production processes. Body as real estate. Biomedical normativities. “Disruption”. Measurement as taming (but Bayes is no Gauss, and personal circumstance really matters). Permanently beta. Privacy by technology design or legal flat? Domain jumping.