Profile

Gerwin van Schie is a PhD candidate at Utrecht University with the NWO-funded project “Datafication of Race and Ethnicity in the Netherlands: Investigating Practices, Politics and Appropriation of Governmental Open Data”. His research focusses on the way Dutch immigrant populations are ‘datafied’ by various societal institutions. Dutch governmental classifications are based on immigrants’ former nationality and that of their parents and relate to the (colonial) history of their country of birth.

The analysis starts with an investigation of the datafication of racial and ethnic information and its distribution by Statistics Netherlands (CBS). Next, race and ethnicity-based data-driven practices will be mapped in three domains: local government, the police and commercial information systems. This research will be carried out in the form of discursive analyses of (1) the categorization system of CBS, (2) the data distribution system of CBS and its interface, and (3) the applications in which CBS data is appropriated for a new purpose. Gerwin critically investigates bias and injustice caused by the data, system, and practices of applications based on CBS statistics by employing a critical data studies approach with a postcolonial perspective.

Previously, Gerwin obtained his BA in Theater, Film and Television Studies and MA in New Media and Digital Culture (Cum Laude) at Utrecht University after which he worked as a junior researcher at the Utrecht Data School on data ethics and critical data studies.

Strategic themes / Focus areas
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All publications
  2018 - Scholarly publications
van Schie, G.A. & Oosterloo, Serena (2018). The Politics and Biases of the “Crime Anticipation System” of the Dutch Police. In Jo Bates, Paul. D. Clough, Robert Jäschke & Jahna Otterbacher (Eds.), Proceedings of the Workshop on Bias in Information, Algorithms and Systems (pp. 30-41) (12 p.). Sheffield: CEUR Workshop Proceedings.
  2017 - Scholarly publications
van Schie, G.A., Westra, Irene & Schäfer, M.T. (2017). Get Your Hands Dirty - Doing Ethical Research in a Big Data Era. In Mirko Tobias Schäfer & Karin van Es (Eds.), The Datafied Society - Social Research in the Age of Big Data (pp. 183-200) (18 p.). Amsterdam: Amsterdam University Press.
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Gegenereerd op 2018-08-14 17:34:08
Project:
Datafication of Race and Ethnicity in the Netherlands: Investigating Practices, Politics and Appropriation of Governmental Open Data
01.09.2017 to 31.08.2021
General project description 

This research focuses on the way Dutch immigrant populations are ‘datafied’ by various societal institutions. Classifications are based on immigrants’ former nationality or that of their parents and relate to the (postcolonial) history of their country of birth. This analysis starts with an investigation of the datafication of racial and ethnic information and its distribution by the Statistics Netherlands (CBS). Next, race and ethnicity based data-driven practices will be mapped in three domains: local government, the police and commercial information systems. This research will be carried out in the form of discursive analyses of (1) the categorization system of CBS, (2) the distribution system of CBS and its interface, and (3) the applications in which CBS data is appropriated for a new purpose. The first case study is the Leefbaarometer. This interactive map of the Netherlands visualizes the quality of life down to street level and is used as an in instrument by local governments for determining the necessity for action in certain neighbourhoods. The second case study is the Crime Anticipation System (CAS), which is used by the Dutch police to manage manpower and material resources. The final case study is the Allochtoon-o-meter by Geenstijl, a webapp in which the user enters a postcode and is shown the percentage of “non-western” immigrants living in that area. The three case studies serve as input for a reflective framework for evaluating data-driven policies at various levels of government.

Role Researcher Funding
NWO grant
Project members UU
Project:
Utrecht Data School
01.01.2013 to 01.01.2021
General project description 

Utrecht Data School is a research platform for investigating datafication in public management, police and security, and the media industry. It is a teaching platform for digital methods, data practices and data visualization. The Utrecht Data School employs entrepreneurial research as a method to immerse into the field where datafication transforms society. Carrying out commissioned research projects for external partners, the members of the Utrecht Data School are deeply embedded in the unfolding transformation of society through emerging data practices.

Role Researcher Funding
External funding: The Utrecht Data School is mostly funded through entrepreneurial research
Project members UU

Gegenereerd op 2018-08-14 17:34:08
Full name
G.A. van Schie MA Contact details
Drift 15

Drift 15
Room 0
3512 BR  UTRECHT
The Netherlands


Postal address
Drift 13
3512 BR    UTRECHT
The Netherlands
Gegenereerd op 2018-08-14 17:34:08
Last updated 15.06.2018