JuDDGES: Judicial Decision Data Gathering, Encoding, and Sharing
The JuDDGES project harnesses state-of-the-art technologies in Natural Language Processing (NLP) and Human-In-The-Loop (HITL) to revolutionize how legal researchers access, annotate, and analyze judicial decisions across various jurisdictions. Our team is committed to dissolving barriers in legal research, fostering open science, and enhancing the empirical study of judicial decision-making.
About
JuDDGES aims to develop open software and tools for the extensive and flexible meta-annotation of legal records from criminal courts in jurisdictions with diverse legal systems, starting with Poland and England & Wales. This initiative is designed to support the development and empirical testing of theories in judicial decision-making, facilitating a deeper understanding of judicial policies and practices.
Goals
Empower Researchers: Providing researchers with tools for in-depth analysis of judicial decisions.
Foster Open Science: Making software tools and annotated datasets publicly available for research and educational purposes.
Enhance Legal Research: Enabling empirical testing of judicial decision-making theories and practices.
Team
Leader
Wrocław University of Science and Technology, Wroclaw, Poland
- Prof. Tomasz Kajdanowicz, PI, Department of Artificial Intelligence, Wroclaw University of Technology
- Prof. Michał Bernaczyk, Department of Constitutional Law, University of Wroclaw
- Krzysztof Kamiński, Center for Competence and Informatization of the Judiciary
- Łukasz Augustyniak, independent adivisor, Department of Artificial Intelligence, Wroclaw University of Technology
- Jakub Binkowski, Department of Artificial Intelligence, Wroclaw University of Technology
- Albert Sawczyn, PhD student, Department of Artificial Intelligence, Wroclaw University of Technology
University Claude Bernard Lyon 1, France
Research
Scientific and Technological Quality
JuDDGES is centered on innovative approaches to data processing and analysis, incorporating advanced machine learning techniques and human expertise to navigate and interpret complex legal datasets.
Expected Impacts
The project anticipates significant contributions to legal research methodologies, the open science movement, and policy-making processes, setting new standards for data-driven judicial analysis.
Outputs
Open Software and Tools
A suite of open-source software for legal research.
Annotated Dataset
The largest and most comprehensive open and reusable dataset for judicial decision-making research in Europe.
Contact
Department of Artificial Intelligence
Wroclaw University of Science and Technology, Poland
Prof. Tomasz Kajdanowicz
