With insights from original, multinational research and analysis of key social science studies, this paper...
Tag: algorithms
Friction by Machine: How to Slow Down Reasoning with Computational Methods
This paper provides a theoretical alternative to the prevailing perception of machine learning as synonymous with...
Acting on Analytics: Accuracy, Precision, Interpretation, and Performativity
Case Study—We report on a two-year project focused on the design and development of data analytics to support the cloud services division of a global IT company. While the business press proclaims the potential for enterprise analytics to transform organizations and make them ‘smarter’ and more...
Who and What Drives Algorithm Development: Ethnographic Study of AI Start-up Organizational Formation
The focus of this paper is to investigate deep learning algorithm development in an early stage start-up in which edges of knowledge formation and organizational formation were unsettled and contested. We use a debate by anthropologists Clifford Geertz and Claude Levi-Strauss to examine these...
Reading the Tea Leaves: Ethnographic Prediction as Evidence
Those who work in research know that we live in a world that is strongly influenced by what Tricia Wang has called the quantification bias. More so than other forms of information, numbers have incredible formative power. In our culture, numbers are seen as trustworthy representations of reality...
Fighting Conspiracy Theories Online at Scale
This 2019 project conducted in the US and the UK sought to understand which conspiracy theories are harmful and which are benign, with an eye towards finding ways to combat disinformation and extremism. This case study demonstrates how ethnographic methods led to insights on what “triggered”...
Contextual Analytics: Towards a Practical Integration of Human and Data Science Approaches in the Development of Algorithms
As algorithms play an increasingly important role in the lives of people and corporations, finding more effective, ethical, and empathetic ways of developing them has become an industry imperative. Ethnography, and the contextual understanding derived from it, has the potential to fundamentally...
How Modes of Myth-Making Affect the Particulars of DS/ML Adoption in Industry
The successes of technology companies that rely on data to drive their business hints at the potential of data science and machine learning (DS/ML) to reshape the corporate world. However, despite the headway made by a few notable titans (e.g., Google, Amazon, Apple) and upstarts, the advances...
Automating Inequality
Virginia Eubanks is an Associate Professor of Political Science at the University at Albany, SUNY. Her most recent book is Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor, which dana boyd calls “the first [book] that I’ve read that really pulls you into the world of...
Livable Relations with Metrics
It is easy to become pessimistic, if not dystopic, about tracking technologies. The current digital services landscape promotes scoring, selecting and sorting of people for the purposes of maximizing profit. Machine logics rely on profiling characteristics and predicting actions, and management by...