Dr Daniel Marciniak

Dr Daniel Marciniak

Lecturer

+44 (0)1482 466691 | D.F.Marciniak@hull.ac.uk

Faculty and Department

  • Faculty of Arts Cultures and Education
  • School of Criminology, Sociology and Policing

Related groups

  • Criminology

Qualifications

  • PhD / DPhil (University of Essex)

Summary

I joined the School of Criminology, Sociology and Policing at the University of Hull as a lecturer in 2022. Prior to this, I was part of the research group "Anthropology of AI in Policing and Justice" at the Max Planck Institute for Social Anthropology. I earned my doctorate in sociology within the Human Rights, Big Data and Technology project at the University of Essex, UK with a thesis that addressed the reshaping and fragility of socio-technical relations in a digital policing environment.

Recent outputs

View more outputs

Book Chapter

Infrastructure shortcuts: the private cloud infrastructure of data-driven policing and its political consequences

Marciniak, D. (2024). Infrastructure shortcuts: the private cloud infrastructure of data-driven policing and its political consequences. In M. Avis, D. Marciniak, & M. Sapignoli (Eds.), States of Surveillance. Ethnographies of New Technologies in Policing and Justice (143-163). Routledge. https://doi.org/10.4324/9781003412908-10

Journal Article

Algorithmic Policing: An exploratory study of the algorithmically mediated construction of individual risk in a UK police force

Marciniak, D. (2022). Algorithmic Policing: An exploratory study of the algorithmically mediated construction of individual risk in a UK police force. Policing and Society, https://doi.org/10.1080/10439463.2022.2144305

Computational text analysis: Thoughts on the contingencies of an evolving method

Marciniak, D. (2016). Computational text analysis: Thoughts on the contingencies of an evolving method. Big Data and Society, 3(2), https://doi.org/10.1177/2053951716670190

Presentation / Conference Contribution

Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing

Wuraola, I., Dethlefs, N., & Marciniak, D. (2024, November). Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing. Presented at EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, Miami, FLorida, USA

Research interests

technology in policing; artificial intelligence, machine learning, and data analysis in policing; governmentality and quantification; surveillance studies; science and technology studies

Postgraduate supervision

AI and machine learning, technology in policing, surveillance

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