Leibniz University of Hannover

Ioanna Papageorgiou

Leibniz Universität Hannover –  L3S Research Center and
Institut für Rechtsinformatik (IRI)

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


		

	



	

		

			


		

	


	

		

			
Mayra Russo Botero


Leibniz Universität Hannover – L3S Research Center and

Technische Informationsbibliothek


L3S-1: Documenting Bias in Data through ontologies




		

	



	

		

			


		

	


	

		

			
Seyed Siamak Ghodsi


Leibniz Universität Hannover – L3S Research Center 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




		

	



	

		

			


Alaa Elobaid


Centre for Research and Technology,

Information Technologies Institute


CERTH-2 Bias Mitigation in Classification Methods


		

	


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

	

		

			


		

	


	

		

			
Ioannis Koulierakis


Electronics and Computer Science – University of Southampton


SOTON-ECS-1: Collective elicitation of bias coming from inaccessible algorithms


		

	



	

		

			


		

	



	

		

			
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