Programming and Data Processing (Spring 2024)
This course is designed to give students a basic introduction to programming and data processing.
This course is designed to give students a basic introduction to programming and data processing.
This course is designed to give students a basic introduction to programming and data processing.
The book develops a conception of data practices to analyze findings from collaborative ethnographic multisite fieldwork as part of a five-year project.
Who are the subjects of data practices? How do data practices configure the capacities of subjects to become part of a population?
We consider how the statistician subject is being shaped, and the profession of national statistician repositioned, through professionalising practices.
We depart from some conceptual presuppositions of methodological cosmopolitanism to define a transversal method.
In a time of alternative facts, what constitutes legitimate knowledge and expertise are major political sites of contention and struggle.
We discuss how data science as a field and a profession came into being in relation to but also as a critique of existing ones such as statistics and statisticians.
This working paper was written in preparation for a collaborative workshop organised for statisticians, social scientists, and app designers.
This paper reflects on the challenges of doing collaborative ethnography in a research project (ARITHMUS) that studies the enactment of populations through statistics.