Creating a bias in inspection data

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

Master thesis (2019)

Authors

I.R. Sedee Technology, Policy and Management

Contributors

H.G. van der Voort Organisation & Governance - TPM (supervisor 1)
S. Cunningham Policy Analysis - TPM (supervisor 2)
Tom Booijink (supervisor 2)
Elske van der Vaart (supervisor 2)
Faculty
Technology, Policy and Management
Copyright: © 2019 Ivo Sedee
Agent-Based Modeling Data-driven risk-based regulation Data-driven inspections
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Published Date

30-08-2019

Language

English

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Faculty

Technology, Policy and Management

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.