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Bridging Process Mining and the Courtroom: A Data-Driven Framework for Fairness, Efficiency, and Transparency in Judicial Decision-Making
Dinh, Thuy Nhat Vy (2025) Bridging Process Mining and the Courtroom: A Data-Driven Framework for Fairness, Efficiency, and Transparency in Judicial Decision-Making.
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| Abstract: | Judicial systems around the world continue to struggle with inefficiency, inconsistency, and limited transparency, which can undermine public trust and slow down access to justice. This paper presents a broadly applicable, modular framework that leverages process mining, statistical analysis, machine learning, and a novel activity role classification to assess and improve fairness, efficiency, and transparency in judicial decision-making. Applied to 247 German social court cases, the framework identified four process clusters: (1) fast-track cases resolved through early settlements or withdrawals; (2) complex, trial-driven cases with extended durations; (3) expert-heavy cases with frequent coordination bottlenecks; and (4) moderate-complexity resolutions. A multi-level fairness analysis (statistical, predictive, and causal) found only minor differences between court chambers, with no substantial effect on case duration. Activity role classification revealed that individual orders amplify procedural complexity, while repeated medical assessments are major bottlenecks. Transparency analysis showed that unpredictability and process opacity are concentrated in administrative and assessment-related transitions, pinpointing where targeted improvements could enhance clarity and predictability. Overall, these findings support more proactive and transparent workflow management, providing courts and other organizations with interpretable tools to address inefficiencies while preserving their autonomy. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science, 86 law, 88 social and public administration |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/107374 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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