Creating a bias in inspection data

Exploring the medium- to long-term effects of data-driven risk-based regulation

Master Thesis (2019)
Author(s)

I.R. Sedee (TU Delft - Technology, Policy and Management)

Contributor(s)

Haiko Van Der Voort – Mentor (TU Delft - Organisation & Governance)

S. Cunningham – Graduation committee member (TU Delft - Policy Analysis)

Tom Booijink – Graduation committee member

Elske van der Vaart – Graduation committee member

Faculty
Technology, Policy and Management
Copyright
© 2019 Ivo Sedee
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Ivo Sedee
Graduation Date
30-08-2019
Awarding Institution
Delft University of Technology
Programme
['Engineering and Policy Analysis']
Faculty
Technology, Policy and Management
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Abstract

Monitoring organisations are currently in a transition phase towards risk-based inspections using data models and algorithms in order to increase their efficiency and transparancy. The use of data by monitoring organisations has several benefits, but can at the same time have negative effects in the medium- to long-term. This study explores these effects when monitoring organisations choose to perform their inspections based on data collected during their own inspections.

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