Leibniz University of Hannover

Ioanna Papageorgiou

Leibniz Universität Hannover – Learning Lab Lower Saxony (L3S) and
Institut für Rechtsinformatik (IRI)

IRI-1: Legal issues of mitigating bias at a national and EU level


		

Mayra Russo Botero

Leibniz Universität Hannover – Learning Lab Lower Saxony (L3S) and
Technische Informationsbibliothek

L3S-1: Documenting Bias in Data through ontologies


		

Seyed Siamak Ghodsi

Leibniz Universität Hannover – Learning Lab Lower Saxony (L3S) and Free University of Berlin (FUB)

L3S-2: Time-dependent monitoring and mitigation for bias


		
University of Klagenfurt

Miriam Fahimi

Digital Age Research Centre

UNI-KLU-1: The social and technical networks of bias generation


		
GESIS Leibniz Institut für Sozialwissenschaften

Antonio Ferrara

GESIS – Leibniz Institute for the Social Sciences

GESIS-2: Bias mitigation in ranking methods


		
SCHUFA

Xuan Zhao

SCHUFA, Wiesbaden, Germany

SCHUFA-1: Explaining white-model predictions


		
CERTH - The Centre for Research & Technology, Hellas

Simone Fabbrizzi

Centre for Research and Technology Hellas

CERTH-1 Discovering and Quantifying Bias


		
University of Pisa

Jose Manuel Alvarez

University of Pisa

UNIPI-1: Causality analysis of data for domain-specific bias understanding

Laura State

University of Pisa

UNIPI-2: Declarative explanation of black-box decisions
The Open University

Paula Reyero Lobo

Open University, United Kingdom

Knowledge Media Institute, The Open University, Walton Hall MK7 6AA
OU-1: Data enrichment for mitigating bias
University of Southampton

Carlos Mougan Navarro

Electronics and Computer Science – University of Southampton

SOTON-ECS-2: Explaining prediction models by argumentation

Alejandra Bringas Colmenarejo

Southampton Law School

SOTON-LS: Combining a technical, legal, and ethical assessment of the rights to information and explanation
KU LEUVEN

Kristen Marie Scott

KU Leuven, Belgium
Celestijnenlaan 200a – box 2402, 3001 Leuven, BE

KULEUVEN-1: Discovering biased representations of people