Daniel Marciniak is a doctoral researcher within the Surveillance and Human Rights research strand of the Human Rights, Big Data and Technology Project. In his research, Daniel is interested in how data-driven technologies, particularly predictive policing, transform modern police practices. To identify benefits and harms, he examines aspects of evaluation, organisational implementation and decision-making practice through in-depth qualitative interviews with police officers and participant observation. His study is informed by approaches from Science and Technology Studies as well as Surveillance Studies. In 2018, he helped as a research assistant in organising a series of workshops for the HRBDT Project held together with Hebrew University and in cooperation with the UK’s Investigatory Powers Commissioners Office (IPCO). These workshops explored the relationship between State surveillance and international human rights law.
In 2016, Daniel completed his master’s degree with distinction at the Goethe University Frankfurt. His thesis won the University’s Josef Esser price. 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.