JuDDGES
+The JuDDGES project encompasses several Work Packages (WPs) designed to cover all aspects of its objectives, from project management to the open science practices and engaging early career researchers. Below is an overview of the project’s WPs based on the provided information:
+WP1: Project Management
+Duration: 24 Months Main Aim: To ensure the project’s successful completion on time and within budget. This includes administrative management, scientific and technological management, quality innovation and risk management, ethical and legal consideration, and facilitating open science.
+WP2: Gathering and Human Encoding of Judicial Decision Data
+Duration: 22 Months Main Aim: To establish the data foundation for developing and testing the project’s tools. This involves collating/gathering legal case records and judgments, developing a coding scheme, training human coders, making human-coded data available for WP3, facilitating human-in-loop coding for WP3, and enabling WP4 to make data open and reusable beyond the project team.
+WP3: NLP and HITL Machine Learning Methodological Development
+Duration: 24 Months Main Aim: To create a bridge between machine learning (led by WUST and MUHEC) and Open Science facilitation (by ELICO), focusing on the development and deployment of annotation methodologies. This includes baseline information extraction, intelligent inference methods for legal corpus data, and constructing an annotation tool through active learning and human-in-the-loop annotation methods.
+WP4: Open Science Practices & Engaging Early Career Researchers
+Duration: 12 Months Main Aim: To implement the Open Science policy of the call and engage with relevant early career researchers (ECRs). Objectives include providing open access to publication data and software, disseminating/exploiting project results, and promoting the project and its findings.
+Each WP includes specific tasks aimed at achieving its goals, involving collaboration among project partners and contributing to the overarching aim of the JuDDGES project.
+Install
+pip install juddges