S.J. Poodiack-Parsons (Spencer)

My name is Spencer Poodiack Parsons and I am a PhD Researcher in the section Public Administration at the University of Twente using quantitative and computational methods to study algorithmic governance. Current research focuses how humans and algorithms learn, interact and make decisions within the public sector.

Previous experience as a data scientist in political organizations. Skilled at mixed method research and machine learning techniques. Experienced with commonly used data science tools such as R, Python and SQL. More recent research has used computational methods such as agent-based modeling with the NetLogo software.

Organisations

My research focuses on the use of algorithmic technology, such as machine learning or artificial intelligence, in the public sector. I am specifically interested in use cases such as predictive policing or fraud detection and prevention.

My background is in data science so I use computational methods such as agent-based modeling to achieve my research aims. I aim to bring the latest computational methods into the field of Public Administration.

Recent Publications:

Poodiack Parsons S, Torenvlied R (2025) When noise mitigates bias in human–algorithm decision-making: An agent-based model. PLoS One 20(12): e0339273. doi:10.1371/journal.pone.0339273

Courses academic year 2025/2026

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

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Organisations