Issue
Dagstuhl Reports, Volume 15, Issue 1
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Dagstuhl Reports, Volume 15
Journal: Dagstuhl Reports (DagRep)
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Dagstuhl Seminars 25021, 25022, 25031, 25032, 25041, 25042, 25051, 25052Publication Details
- published at: 2025-10-02
- Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
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Document
Complete Issue
Dagstuhl Reports, Volume 15, Issue 1, January 2025, Complete Issue
Abstract
Dagstuhl Reports, Volume 15, Issue 1, January 2025, Complete Issue
Cite as
Dagstuhl Reports, Volume 15, Issue 1, pp. 1-222, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)
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@Article{DagRep.15.1,
title = {{Dagstuhl Reports, Volume 15, Issue 1, January 2025, Complete Issue}},
pages = {1--222},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2025},
volume = {15},
number = {1},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.1},
URN = {urn:nbn:de:0030-drops-248142},
doi = {10.4230/DagRep.15.1},
annote = {Keywords: Dagstuhl Reports, Volume 15, Issue 1, January 2025, Complete Issue}
}
Document
Front Matter
Dagstuhl Reports, Table of Contents, Volume 15, Issue 1, 2025
Abstract
Dagstuhl Reports, Table of Contents, Volume 15, Issue 1, 2025
Cite as
Dagstuhl Reports, Volume 15, Issue 1, pp. i-ii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)
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@Article{DagRep.15.1.i,
title = {{Dagstuhl Reports, Table of Contents, Volume 15, Issue 1, 2025}},
pages = {i--ii},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2025},
volume = {15},
number = {1},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.1.i},
URN = {urn:nbn:de:0030-drops-236706},
doi = {10.4230/DagRep.15.1.i},
annote = {Keywords: Table of Contents, Frontmatter}
}
Document
Grand Challenges for Research on Privacy Documents (Dagstuhl Seminar 25021)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 25021 "Grand Challenges for Research on Privacy Documents" held in January 2025. This Dagstuhl Seminar gathered an interdisciplinary group of researchers from privacy, natural language processing, human-computer interaction, public policy, and law to identify and characterize key challenges to research on privacy documents, such as privacy policies, terms of use, cookie policies, and other texts about data practices.
Seminar participants worked together to identify and characterize key challenges in privacy document research with the goal of producing a research roadmap for tackling these challenges. Through a series of perspectives talks and panel discussions, participants exchanged experiences in working with privacy documents in research and learned about associated challenges, as well as interdisciplinary intersections and policy considerations. Through deeper engagement in working groups, participants deeply explored research challenges and research directions across five interconnected topics: (1) formats and standardization; (2) datasets, automation, and analysis methods; (3) usable and useful notice and consent; (4) consumer privacy beyond notice and choice; and (5) cross-stakeholder engagement.
Cite as
Florian Schaub, Christine Utz, Shomir Wilson, and Lu Xian. Grand Challenges for Research on Privacy Documents (Dagstuhl Seminar 25021). In Dagstuhl Reports, Volume 15, Issue 1, pp. 1-32, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)
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@Article{schaub_et_al:DagRep.15.1.1,
author = {Schaub, Florian and Utz, Christine and Wilson, Shomir and Xian, Lu},
title = {{Grand Challenges for Research on Privacy Documents (Dagstuhl Seminar 25021)}},
pages = {1--32},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2025},
volume = {15},
number = {1},
editor = {Schaub, Florian and Utz, Christine and Wilson, Shomir and Xian, Lu},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.1.1},
URN = {urn:nbn:de:0030-drops-236780},
doi = {10.4230/DagRep.15.1.1},
annote = {Keywords: Human-Computer Interaction, Machine Learning, Natural Language Processing, Privacy Policy, Public Policy}
}
Document
Towards a Multidisciplinary Vision for Culturally Inclusive Generative AI (Dagstuhl Seminar 25022)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 25022 "Towards a Multidisciplinary Vision for Culturally Inclusive Generative AI". The gathering focused on questions raised by the rapid deployment of Generative AI systems and their integration into global systems of cultural communication, consumption, and production. As these technologies shape our cultures, we urgently need conceptual foundations for investigating the cultural inclusivity of generative AI pipelines (from data collection, to model development and deployment, to evaluation), as well as methods to study the varying societal and cultural impacts of generative AI.
This Dagstuhl Seminar convened scholars and practitioners from computer science, social sciences, the tech industry, and creative industries to discuss the cultural implications of generative AI and find paths toward building generative AI that can be responsive to the diverse needs of individuals, groups, and societies around the world. Together, seminar participants began the challenging but necessary work of building shared language and frameworks for reshaping the technical and social architectures of generative AI.
The seminar was structured along three main dimensions for interdisciplinary discussions:
- Examining the cultural values being currently centered in generative AI.
- Studying the possibilities and risks of encoding cultural knowledge into generative AI technologies.
- Understanding the cultural impact of these technologies.
We succeeded in building an expert network committed to understanding and designing a culturally-attuned generative AI and to lay the foundation for an interdisciplinary research and practice agenda on global inclusion and generative AI.
Cite as
Asia Biega, Georgina Born, Fernando Diaz, Mary L. Gray, and Rida Qadri. Towards a Multidisciplinary Vision for Culturally Inclusive Generative AI (Dagstuhl Seminar 25022). In Dagstuhl Reports, Volume 15, Issue 1, pp. 33-49, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)
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@Article{biega_et_al:DagRep.15.1.33,
author = {Biega, Asia and Born, Georgina and Diaz, Fernando and Gray, Mary L. and Qadri, Rida},
title = {{Towards a Multidisciplinary Vision for Culturally Inclusive Generative AI (Dagstuhl Seminar 25022)}},
pages = {33--49},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2025},
volume = {15},
number = {1},
editor = {Biega, Asia and Born, Georgina and Diaz, Fernando and Gray, Mary L. and Qadri, Rida},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.1.33},
URN = {urn:nbn:de:0030-drops-236775},
doi = {10.4230/DagRep.15.1.33},
annote = {Keywords: creativity, cultural inclusion, generative artificial intelligence, global south, social impact of ai}
}
Document
Addressing Future Challenges of Telemedicine Applications (Dagstuhl Seminar 25031)
Abstract
The Dagstuhl Seminar "Addressing Future Challenges of Telemedicine Applications" brought together interdisciplinary researchers to chart a forward-looking vision for remote healthcare delivery. With the rapid evolution of telemedicine technologies, driven by global health crises and enabled by advances in extended reality (XR), artificial intelligence (AI), gaze-based interaction, and embodied conversational agents, this seminar explored the critical intersections of innovation, usability, ethics, and equity. Participants engaged in structured discussions on how immersive and intelligent systems can expand access to care, enhance diagnostic accuracy, and foster human-centered experiences in remote contexts. Key themes included building trust in AI, ensuring inclusive design for diverse populations, leveraging eye-tracking and avatars for personalized interaction, and balancing automation with human expertise. The seminar emphasized that addressing technical, cultural, and regulatory challenges is essential to responsibly shaping the future of telemedicine. Through collaborative dialogue, the seminar laid the groundwork for next-generation healthcare technologies that are explainable, adaptive, and empathetic.
Cite as
Matias Volonte, Andrew T. Duchowski, Nuria Pelechano, Catarina Moreira, and Joaquim Jorge. Addressing Future Challenges of Telemedicine Applications (Dagstuhl Seminar 25031). In Dagstuhl Reports, Volume 15, Issue 1, pp. 50-83, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)
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@Article{volonte_et_al:DagRep.15.1.50,
author = {Volonte, Matias and Duchowski, Andrew T. and Pelechano, Nuria and Moreira, Catarina and Jorge, Joaquim},
title = {{Addressing Future Challenges of Telemedicine Applications (Dagstuhl Seminar 25031)}},
pages = {50--83},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2025},
volume = {15},
number = {1},
editor = {Volonte, Matias and Duchowski, Andrew T. and Pelechano, Nuria and Moreira, Catarina and Jorge, Joaquim},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.1.50},
URN = {urn:nbn:de:0030-drops-236765},
doi = {10.4230/DagRep.15.1.50},
annote = {Keywords: Telemedicine, eXtended Reality, Eye Tracking, Embodied Conversational Agents \& Avatars}
}
Document
Task and Situation-Aware Evaluation of Speech and Speech Synthesis (Dagstuhl Seminar 25032)
Abstract
Speech synthesis has now reached such human-likeness that its evaluation as a separate entity is no longer meaningful. In this Dagstuhl Seminar, we approach speech and speech synthesis evaluation from a multidisciplinary perspective. Our goal has been to establish a core network to reach all impacted research communities and to provide fundamental directions to develop the new standards of speech and speech synthesis evaluation.
Cite as
Jens Edlund, Sébastien Le Maguer, Christina Tånnander, Petra Wagner, and Fritz Michael Seebauer. Task and Situation-Aware Evaluation of Speech and Speech Synthesis (Dagstuhl Seminar 25032). In Dagstuhl Reports, Volume 15, Issue 1, pp. 84-104, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)
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@Article{edlund_et_al:DagRep.15.1.84,
author = {Edlund, Jens and Le Maguer, S\'{e}bastien and T\r{a}nnander, Christina and Wagner, Petra and Seebauer, Fritz Michael},
title = {{Task and Situation-Aware Evaluation of Speech and Speech Synthesis (Dagstuhl Seminar 25032)}},
pages = {84--104},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2025},
volume = {15},
number = {1},
editor = {Edlund, Jens and Le Maguer, S\'{e}bastien and T\r{a}nnander, Christina and Wagner, Petra and Seebauer, Fritz Michael},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.1.84},
URN = {urn:nbn:de:0030-drops-236758},
doi = {10.4230/DagRep.15.1.84},
annote = {Keywords: evaluation, human-in-the-loop, speech technology, speech-to-text synthesis}
}
Document
Solving Problems on Graphs: From Structure to Algorithms (Dagstuhl Seminar 25041)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 25041 "Solving Problems on Graphs: From Structure to Algorithms", which was held from 19 January to 24 January 2025. The report contains abstracts for presentations about recent structural and algorithmic developments for a variety of graph problems. It also contains a collection of open problems which were posed during the seminar.
Cite as
Akanksha Agrawal, Maria Chudnovsky, Daniël Paulusma, Oliver Schaudt, and Julien Codsi. Solving Problems on Graphs: From Structure to Algorithms (Dagstuhl Seminar 25041). In Dagstuhl Reports, Volume 15, Issue 1, pp. 105-121, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)
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@Article{agrawal_et_al:DagRep.15.1.105,
author = {Agrawal, Akanksha and Chudnovsky, Maria and Paulusma, Dani\"{e}l and Schaudt, Oliver and Codsi, Julien},
title = {{Solving Problems on Graphs: From Structure to Algorithms (Dagstuhl Seminar 25041)}},
pages = {105--121},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2025},
volume = {15},
number = {1},
editor = {Agrawal, Akanksha and Chudnovsky, Maria and Paulusma, Dani\"{e}l and Schaudt, Oliver and Codsi, Julien},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.1.105},
URN = {urn:nbn:de:0030-drops-236749},
doi = {10.4230/DagRep.15.1.105},
annote = {Keywords: computational complexity, graph algorithms, graph classes, graph containment relations, graph width parameters}
}
Document
Online Privacy: Transparency, Advertising, and Dark Patterns (Dagstuhl Seminar 25042)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 25042 "Online Privacy: Transparency, Advertising, and Dark Patterns". The seminar brought 26 participants in computer science, law and policy together, coming from research institutions, as well as industry, law firms and regulators across Europe, US, and Middle East.
The 2.5-day seminar had a well-filled program, with introductions of all participants and several group activities; two presentations from industry representing Web browser providers, such as Apple and Mozilla; two presentations from the law research community presenting open problems in Web tracking, dark patterns, ad tech and new EU regulations, such as the EU Digital Services Act; and two panels - one presenting the open challenges in compliance by EU and US lawyers and regulators, and one discussing the future of advertising by industrial representatives from Web browser vendors. The program also included a rump session for short talks, allowing all participants to expose their recent research, open questions, and challenges to these research communities, industry, and regulators.
Cite as
Günes Acar, Nataliia Bielova, Zubair Shafiq, and Frederik Zuiderveen Borgesius. Online Privacy: Transparency, Advertising, and Dark Patterns (Dagstuhl Seminar 25042). In Dagstuhl Reports, Volume 15, Issue 1, pp. 122-135, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)
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@Article{acar_et_al:DagRep.15.1.122,
author = {Acar, G\"{u}nes and Bielova, Nataliia and Shafiq, Zubair and Borgesius, Frederik Zuiderveen},
title = {{Online Privacy: Transparency, Advertising, and Dark Patterns (Dagstuhl Seminar 25042)}},
pages = {122--135},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2025},
volume = {15},
number = {1},
editor = {Acar, G\"{u}nes and Bielova, Nataliia and Shafiq, Zubair and Borgesius, Frederik Zuiderveen},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.1.122},
URN = {urn:nbn:de:0030-drops-236735},
doi = {10.4230/DagRep.15.1.122},
annote = {Keywords: advertising, dark patterns, data protection, online tracking, privacy, world wide web}
}
Document
Trust and Accountability in Knowledge Graph-Based AI for Self Determination (Dagstuhl Seminar 25051)
Abstract
This report documents the program and results of the Dagstuhl Seminar 25051 "Trust and Accountability in Knowledge Graph-Based AI for Self Determination". The seminar focused on AI systems powered by Knowledge Graphs and their fundamental role in powering intelligent decision making. Knowledge Graphs complement Machine Learning algorithms by providing data context and semantics, enabling further inference and question answering capabilities, and their synergy with Large Language Models is being actively researched. Despite the numerous benefits that can be accomplished with KG-based AI, its growing ubiquity within online services may raise the loss of self-determination for citizens as a fundamental societal issue. The more we rely on these technologies, which are often centralised, the less citizens will be able to determine their own destiny. To counter this threat, AI regulation, such as the EU AI Act, is being proposed in certain regions. Regulation sets what technologists need to do, leading to questions concerning: How can the output of AI systems be trusted? What is needed to ensure that the data fueling and the inner workings of these artefacts are transparent? How can AI be made accountable for its decision-making?
Cite as
John Domingue, Luis-Daniel Ibáñez, Sabrina Kirrane, Maria-Esther Vidal, and Philipp D. Rohde. Trust and Accountability in Knowledge Graph-Based AI for Self Determination (Dagstuhl Seminar 25051). In Dagstuhl Reports, Volume 15, Issue 1, pp. 136-200, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)
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@Article{domingue_et_al:DagRep.15.1.136,
author = {Domingue, John and Ib\'{a}\~{n}ez, Luis-Daniel and Kirrane, Sabrina and Vidal, Maria-Esther and Rohde, Philipp D.},
title = {{Trust and Accountability in Knowledge Graph-Based AI for Self Determination (Dagstuhl Seminar 25051)}},
pages = {136--200},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2025},
volume = {15},
number = {1},
editor = {Domingue, John and Ib\'{a}\~{n}ez, Luis-Daniel and Kirrane, Sabrina and Vidal, Maria-Esther and Rohde, Philipp D.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.1.136},
URN = {urn:nbn:de:0030-drops-236722},
doi = {10.4230/DagRep.15.1.136},
annote = {Keywords: access control and privacy, federated query processing, intelligent knowledge graph management, programming paradigms for knowledge graphs, semantic data integration}
}
Document
From Research to Certification with Data-Driven Medical Decision Support Systems (Dagstuhl Seminar 25052)
Abstract
This report outlines the programme and outcomes of Dagstuhl Seminar 25052 "From Research to Certification with Data-Driven Medical Decision Support Systems". Our seminar addressed the complex challenges of transferring artificial intelligence systems from research labs into real-world clinical practice. Bringing together clinicians, researchers and industry stakeholders, it explored the potential and pitfalls of deploying data-driven models in healthcare, highlighting the need for rigorous evaluation, human-centred design and responsible innovation. Key discussions included regulatory hurdles, reproducibility issues, interpretability and human-machine collaboration. Group sessions focused on evaluation frameworks and human factors in medical artificial intelligence system design. The seminar laid the foundation for a collaborative research agenda aimed at safe, effective and ethical integration of data-driven predictive models into real-life clinical workflows.
Cite as
Raul Santos-Rodriguez, Kacper Sokol, Julia E. Vogt, and Sven Wellmann. From Research to Certification with Data-Driven Medical Decision Support Systems (Dagstuhl Seminar 25052). In Dagstuhl Reports, Volume 15, Issue 1, pp. 201-220, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)
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@Article{santosrodriguez_et_al:DagRep.15.1.201,
author = {Santos-Rodriguez, Raul and Sokol, Kacper and Vogt, Julia E. and Wellmann, Sven},
title = {{From Research to Certification with Data-Driven Medical Decision Support Systems (Dagstuhl Seminar 25052)}},
pages = {201--220},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2025},
volume = {15},
number = {1},
editor = {Santos-Rodriguez, Raul and Sokol, Kacper and Vogt, Julia E. and Wellmann, Sven},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.1.201},
URN = {urn:nbn:de:0030-drops-236715},
doi = {10.4230/DagRep.15.1.201},
annote = {Keywords: artificial intelligence, clinical practice, decision support systems, digital healthcare, machine learning}
}