Daniel Marciniak is a doctoral researcher within the Surveillance and Human Rights research strand of the Human Rights, Big Data and Technology Project at the University of Essex. In his research, Daniel is interested in how data-driven technologies - particularly predictive policing - transform modern police practices. His study is informed by approaches from Science and Technology Studies as well as Surveillance Studies.
Since January 2018, he is a research assistant on the HRBDT project organising a series of workshops held together with Hebrew University and in cooperation with the UKs Investigatory Powers Commissioners Office (IPCO). These workshops explore the relationship between State surveillance and international human rights law.
In 2016, Daniel completed his Masters degree with distinction at the Goethe University Frankfurt. His thesis won the Universitys Josef-Esser-Preis 2016. The research tested the usefulness of computational text analysis techniques for the generation of knowledge in the social sciences and parts of it were subsequently published in Big Data & Society.
Daniel teaches as a graduate teaching assistant on the module SC101 Researching Social Life, an introduction to research methods in social sciences. He taught previously as a teaching assistant on courses in Statistics, SPSS and theory and practice of social network analysis.