Rens Wilderom is a Lecturer in Computational Social Sciences (CSSci) with a background in Cultural Sociology.

Within the CSSci Bachelor’s programme, he contributes to the redesign and teaching of the social science and humanities theory curriculum across all three years. He is also involved in further developing the transdisciplinary partnership programme, in which students, external partners, and lecturers together create projects that spur positive social change.

His current research focuses on two domains:

1) LLM-assisted text analysis (together with Taylor Price and Tom Heitland).

2) How digital platforms—such as Google Maps, Instagram, and TikTok—are reshaping the museum field and the ways in which people exhibit and engage with art (together with Reza Shaker Ardekani and Justus Uitermark).

Under the supervision of Alex van Venrooij and Giselinde Kuipers, he defended his PhD dissertation at the Sociology Department of the University of Amsterdam on September 23, 2023. During his doctoral studies, he spent five months in 2018 as a visiting PhD researcher at the University of Toronto’s Sociology Department under Shyon Baumann’s supervision. Additionally, he holds a master’s degree in Cultural Sociology (Cum Laude) from the University of Amsterdam.