Critical Data Studies (CDS) explore the unique cultural, ethical, and critical challenges
posed by Big Data. Rather than treat Big Data as only scientifically empirical and therefore …

Our world is becoming ever more data-driven, transforming how business is conducted,
governance enacted, and knowledge produced. Yet, the nature of data and the scope and …

The trustworthiness of data science systems in applied and real-world settings emerges from
the resolution of specific tensions through situated, pragmatic, and ongoing forms of work …

Data do not speak for themselves. Data must be narrated—put to work in particular contexts,
sunk into narratives that give them shape and meaning, and mobilized as part of broader …

Over the last four decades, new modes of communication have redefined people's
engagement with media: media audiences are now also makers, influencers, followers …

Counter‐map** is a combination of critical ideas and practices for social change that
offers a productive and promising approach for grassroots data science initiatives. Current …

Formulating data science problems is an uncertain and difficult process. It requires various
forms of discretionary work to translate high-level objectives or strategic goals into tractable …

The widespread collection and use of data has been the subject of much public and
scholarly interest in recent years. Data justice has emerged as a significant framework for …

Data-centered participatory design research projects—wherein researchers collaborate with
community members for the purpose of gathering, generating, or communicating data about …

Individuals and communities increasingly depend on, and fill their lives with, machine
cultures, in the form of both interfaces and infrastructures. This global push for machine …