Fellow Ina Sander, M. A.

Ina Sander, M. A.

  Fellow at CAIS from January to June 2019


  Sander, I. (2019). A Critically Commented Guide to Data Literacy Tools.

Critical Big Data Literacy – Analysing Tools for a Critical Reflection of Data Collection Online

In recent years, the influence of big data – the large-scale collection and analysis of personal data with related scoring and prediction mechanisms – increased steadily. Besides the often-emphasised manifold great opportunities big data practices provide, for example in academic research, such automated systems also come with inherent risks. Scholars warn that uses of big data put individual privacy at risk, intensify surveillance and often reinforce discrimination. While internet users may know about data collection online, they lack an understanding and critical reflection of the potential consequences of big data practices.
One strategy to address this problem is to foster citizens’ critical big data literacy. This literacy can be understood as internet users’ awareness and critical reflection of big data collection practices, data uses and possible risks and implications.
Extending my prior research, this project will research online tools that aim to promote such literacy. I will examine the longer-term influence these tools have, and the German landscape of critical big data literacy tools.

Main Research Topics
  • Big Data and Privacy
  • Critical Data Studies
  • Data Literacy
  • Critical Media / Digital Literacy
Curriculum Vitae
  • 2013-2017 BA Medienwissenschaft, Philipps-Universität Marburg
  • 2016-2017 Student assistant at a research project funded by the German Research Foundation: “Mediale Störungen. Strukturen und Funktionen von Fernsehsondersendungen in der politischen Medienkultur Deutschlands”, Philipps-Universität Marburg
  • 2017-2018 MA Digital Media and Society, Cardiff University
  • 2018 Research assistant at the externally funded project “Data Scores: Investigating Uses of Citizen Scoring” at the Data Justice Lab, Cardiff University