Creating a bias in inspection data
Exploring the medium- to long-term effects of data-driven risk-based regulation
I.R. Sedee (TU Delft - Technology, Policy and Management)
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
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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.