Results

Deliverables

D1.1 User Requirements and Architecture

D1.2 MAMMOth Βias Τoolkit

D2.1 Methods and Algorithms for Bias-aware Multimodal attribute Extraction

D2.2 Methods and Algorithms for Bias Analysis in Multi-attribute Networks

D2.3 Explainable Methods for Discovering Bias in Multimodal Data

D3.1 Multi-dimensional Discrimination Definitions and Operational Measures

D3.2 Methods and Algorithms for Multidimensional Fairness-aware Classification

D3.3 Methods and Algorithms for Multidimensional Fairness in Multi-attribute Networks

D4.1 Evaluation and Mitigation of Bias in the Use Cases

D4.2 Stakeholder Evaluation of System, Processes and Results

D5.3 MAMMOth’s Handbook: Best practices

D5.4 Final DCE and Policy Report

D6.1 Data Management Plan

Periodic Technical and ScientificReport

D5.4 Final DCE and Policy Report

November 12, 2025

D4.2 Stakeholder Evaluation of System, Processes and Results

November 12, 2025

D4.1 Evaluation and Mitigation of Bias in the Use Cases

November 12, 2025

D3.3 Methods and Algorithms for Multidimensional Fairness in Multi-attribute Networks

September 9, 2025

D3.2 Methods and Algorithms for Multidimensional Fairness-aware Classification

September 1, 2025