Organisers

Oana Inel is a Postdoctoral Researcher at the University of Zurich. Currently, Oana investigates the use of explanations to provide transparency for decision-support systems and foster reflective thinking in people. Previously, she was a Postdoctoral Researcher at TU Delft. She did her PhD at the Vrije Universiteit Amsterdam, where her research focused on detecting and representing events and their semantics for understanding knowledge on the web. She has co-organised several workshops and tutorials in the area of explanations, human computation, semantic web at TheWebConf, UMAP, ISWC. Email: inel at ifi.uzh.ch. 

Nicolas Mattis is a PhD candidate at the Vrije Universiteit Amsterdam at the department of Communication Science. His research focuses on how news recommender design affects news selection and politically relevant media effects. Specifically, he uses a combination of lab and field experiments to better understand the conditions under which news recommenders can nudge users towards news diets that may benefit well-functioning democracies---e.g. by facilitating political knowledge and tolerance towards other opinions or by closing knowledge gaps between readers with a high vs. low level of political interest. He has organised a non-scientific stakeholder workshop before and is currently involved in organising an upcoming ICA post-conference. Email: n.m.mattis at vu.nl.

Milda Norkute is a Lead Designer at Thomson Reuters Labs. The Labs specialise in data driven innovation across Thomson Reuters product portfolio. Milda’s work is focused user experience of the products, namely how and where to put the human in the loop in AI powered systems. Her work on selecting suitable explainability mechanisms has been published at CHI and other academic as well as industry conferences. She is also currently co-leading the Human Centred AI research theme as part of the Labs research program. Email: milda.norkute at thomsonreuters.com. 

Alessandro Piscopo is a Lead Data Scientist at the BBC, in the Content Discovery team. In his current role, Alessandro and his team focus on the development of recommendation engines across the organisation, and has so far deployed live recommenders on products such as BBC iPlayer, BBC Sounds, BBC World Service, and the BBC News app. His previous research is situated at the intersection of peer-production communities, collaborative knowledge engineer- ing, and data quality. He received his PhD from the University of Southampton in 2019. Email: alessandro.piscopo AT bbc.co.uk

Timothée Schmude is a PhD Candidate at the University of Vienna. He is part of the research project "Interpretability and Explainability as drivers to democracy", examining the use of algorithmic decision-making in public institutions. In an interdisciplinary approach, he combines machine learning with human-computer interaction and ethics to assess how to render decision-making systems comprehensible and trustworthy for the public. He previously worked on machine learning applications in Legal Tech and developed the prototype of a court sentencing database using natural language processing and further has a background in professional writing and media studies. Email: timothee.schmude at univie.ac.at

Sanne Vrijenhoek is a PhD Candidate at the University of Amsterdam's Institute of Information Law with a background in Artificial Intelligence. She works in an interdisciplinary project on assessing diversity in news recommendations. An important part of this project is translating normative notions of diversity into concrete concepts that can be used to inform recommender system design, and has as such extensive experience in bridging the gap between computer science and the social sciences. She has organised a number of non-scientific workshops, facilitating discussions between computer scientists and news editors. Email: s.vrijenhoek at uva.nl.

Krisztian Balog is a Staff Research Scientist at Google and a Full Professor at the University of Stavanger. At Google, he works on models and evaluation methodology for explaining user models and items in conversational recommender systems. He has co-organised numerous workshops on evaluation at SIGIR and CIKM, as well as large-scale benchmarking efforts at TREC and CLEF. He served as the general co-chair of ICTIR’20, program co-chair of the CIKM’21 short paper track, and acts as general co-chair of ECIR’22. Email: krisztianb at google.com.