Issue
Dagstuhl Reports, Volume 14, Issue 3
-
Part of:
Volume:
Dagstuhl Reports, Volume 14
Journal: Dagstuhl Reports (DagRep)
Event
Dagstuhl Seminars 24101, 24102, 24111, 24112, 24121, 24122Publication Details
- published at: 2024-09-19
- Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Access Numbers
- Detailed Access Statistics available here
-
Total Document Accesses (updated on a weekly basis):
0PDF Downloads
Documents
No documents found matching your filter selection.
Document
Complete Issue
Dagstuhl Reports, Volume 14, Issue 3, March 2024, Complete Issue
Abstract
Dagstuhl Reports, Volume 14, Issue 3, March 2024, Complete Issue
Cite as
Dagstuhl Reports, Volume 14, Issue 3, pp. 1-117, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
Copy BibTex To Clipboard
@Article{DagRep.14.3,
title = {{Dagstuhl Reports, Volume 14, Issue 3, March 2024, Complete Issue}},
pages = {1--117},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2024},
volume = {14},
number = {3},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.3},
URN = {urn:nbn:de:0030-drops-211787},
doi = {10.4230/DagRep.14.3},
annote = {Keywords: Dagstuhl Reports, Volume 14, Issue 3, March 2024, Complete Issue}
}
Document
Front Matter
Dagstuhl Reports, Table of Contents, Volume 14, Issue 3, 2024
Abstract
Dagstuhl Reports, Table of Contents, Volume 14, Issue 3, 2024
Cite as
Dagstuhl Reports, Volume 14, Issue 3, pp. i-ii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
Copy BibTex To Clipboard
@Article{DagRep.14.3.i,
title = {{Dagstuhl Reports, Table of Contents, Volume 14, Issue 3, 2024}},
pages = {i--ii},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2024},
volume = {14},
number = {3},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.3.i},
URN = {urn:nbn:de:0030-drops-211798},
doi = {10.4230/DagRep.14.3.i},
annote = {Keywords: Table of Contents, Frontmatter}
}
Document
Robust Query Processing in the Cloud (Dagstuhl Seminar 24101)
Abstract
The Dagstuhl Seminar on "Robust Query Processing in the Cloud" (24101), held from March 3 to March 8, 2024, brought together researchers from academia and industry to discuss robustness in database management systems. This seminar was a continuation of previous seminars on the topic of Robust Query Processing, where we focused in particular on cloud computing and also discussed aspects that have not been addressed by the previous instances of the seminar. This article summarizes the main discussion topics, and presents the summary of the outputs of five working groups that discussed: i) robustness benchmarking, ii) economics of query processing in the cloud, iii) storage architectures, iv) out-of-memory query operators, and v) indexing for data warehousing.
Cite as
Goetz Graefe, Allison Lee, and Caetano Sauer. Robust Query Processing in the Cloud (Dagstuhl Seminar 24101). In Dagstuhl Reports, Volume 14, Issue 3, pp. 1-8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
Copy BibTex To Clipboard
@Article{graefe_et_al:DagRep.14.3.1,
author = {Graefe, Goetz and Lee, Allison and Sauer, Caetano},
title = {{Robust Query Processing in the Cloud (Dagstuhl Seminar 24101)}},
pages = {1--8},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2024},
volume = {14},
number = {3},
editor = {Graefe, Goetz and Lee, Allison and Sauer, Caetano},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.3.1},
URN = {urn:nbn:de:0030-drops-211801},
doi = {10.4230/DagRep.14.3.1},
annote = {Keywords: database, execution, hardware, optimization, performance, query}
}
Document
Shapes in Graph Data: Theory and Implementation (Dagstuhl Seminar 24102)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar "Shapes in Graph Data: Theory and Implementation" (24102). The seminar brought together active expert and junior researchers, both from academia and industry, to discuss the many open problems and research directions that arise from shapes in graph data, and, more generally, flexible and expressive schema and constraint languages for graph databases. The participants informed each other on how we perceive the research area, reported on the most recent results, discussed open problems and future directions, and in particular, four working groups were formed with promising intentions to work on new research and vision papers.
Cite as
Shqiponja Ahmetaj, Slawomir Staworko, Jan Van den Bussche, and Maxime Jakubowski. Shapes in Graph Data: Theory and Implementation (Dagstuhl Seminar 24102). In Dagstuhl Reports, Volume 14, Issue 3, pp. 9-30, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
Copy BibTex To Clipboard
@Article{ahmetaj_et_al:DagRep.14.3.9,
author = {Ahmetaj, Shqiponja and Staworko, Slawomir and Van den Bussche, Jan and Jakubowski, Maxime},
title = {{Shapes in Graph Data: Theory and Implementation (Dagstuhl Seminar 24102)}},
pages = {9--30},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2024},
volume = {14},
number = {3},
editor = {Ahmetaj, Shqiponja and Staworko, Slawomir and Van den Bussche, Jan and Jakubowski, Maxime},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.3.9},
URN = {urn:nbn:de:0030-drops-211818},
doi = {10.4230/DagRep.14.3.9},
annote = {Keywords: constraint languages, data for the semantic web, graph data, schema languages}
}
Document
Logics for Dependence and Independence: Expressivity and Complexity (Dagstuhl Seminar 24111)
Abstract
This report documents the programme and outcomes of Dagstuhl Seminar "Logics for Dependence and Independence: Expressivity and Complexity" (24111). This seminar served as a follow-up seminar to the highly successful seminars "Dependence Logic: Theory and Applications" (13071), "Logics for Dependence and Independence" (15261) and "Logics for Dependence and Independence" (19031). A key objective of the seminar was to bring together researchers working in dependence logic and in application areas (for this edition with a particular emphasis on the areas of hyperproperties and formal linguistics), so that they can communicate state-of-the-art advances and embark on a systematic interaction. The goal was especially to reach those researchers who have recently started working in this thriving area, as well as researchers working on several aspects of complexity studies of team-based logics as well as expressivity issues, in particular in the just mentioned application areas. In particular, bringing together researchers from areas of theoretical studies with the application areas aimed at enhancing the synergy between the different communities working on dependence logic.
Cite as
Juha Kontinen, Jonni Virtema, Heribert Vollmer, Fan Yang, and Nicolas Fröhlich. Logics for Dependence and Independence: Expressivity and Complexity (Dagstuhl Seminar 24111). In Dagstuhl Reports, Volume 14, Issue 3, pp. 31-51, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
Copy BibTex To Clipboard
@Article{kontinen_et_al:DagRep.14.3.31,
author = {Kontinen, Juha and Virtema, Jonni and Vollmer, Heribert and Yang, Fan and Fr\"{o}hlich, Nicolas},
title = {{Logics for Dependence and Independence: Expressivity and Complexity (Dagstuhl Seminar 24111)}},
pages = {31--51},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2024},
volume = {14},
number = {3},
editor = {Kontinen, Juha and Virtema, Jonni and Vollmer, Heribert and Yang, Fan and Fr\"{o}hlich, Nicolas},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.3.31},
URN = {urn:nbn:de:0030-drops-211827},
doi = {10.4230/DagRep.14.3.31},
annote = {Keywords: finite model theory, formal linguistics, hyperproperties, information theory, team semantics}
}
Document
EU Cyber Resilience Act: Socio-Technical and Research Challenges (Dagstuhl Seminar 24112)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar "EU Cyber Resilience Act: Socio-Technical and Research Challenges" (24112). This timely seminar brought together experts in computer science, tech policy, and economics, as well as industry stakeholders, national agencies, and regulators to identify new research challenges posed by the EU Cyber Resilience Act (CRA), a new EU regulation that aims to set essential cybersecurity requirements for digital products to be permissible in the EU market.
The seminar focused on analyzing the proposed text and standards for identifying obstacles in standardization, developer practices, user awareness, and software analysis methods for easing adoption, certification, and enforcement. Seminar participants noted the complexity of designing meaningful cybersecurity regulations and of aligning regulatory requirements with technological advancements, market trends, and vendor incentives, referencing past challenges with GDPR and COPPA adoption and compliance. The seminar also emphasized the importance of regulators, marketplaces, and both mobile and IoT platforms in eliminating malicious and deceptive actors from the market, and promoting transparent security practices from vendors and their software supply chain. The seminar showed the need for multi-disciplinary and collaborative efforts to support the CRA’s successful implementation and enhance cybersecurity across the EU.
Cite as
Mila Dalla Preda, Serge Egelman, Anna Maria Mandalari, Volker Stocker, Juan Tapiador, and Narseo Vallina-Rodriguez. EU Cyber Resilience Act: Socio-Technical and Research Challenges (Dagstuhl Seminar 24112). In Dagstuhl Reports, Volume 14, Issue 3, pp. 52-74, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
Copy BibTex To Clipboard
@Article{dallapreda_et_al:DagRep.14.3.52,
author = {Dalla Preda, Mila and Egelman, Serge and Mandalari, Anna Maria and Stocker, Volker and Tapiador, Juan and Vallina-Rodriguez, Narseo},
title = {{EU Cyber Resilience Act: Socio-Technical and Research Challenges (Dagstuhl Seminar 24112)}},
pages = {52--74},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2024},
volume = {14},
number = {3},
editor = {Dalla Preda, Mila and Egelman, Serge and Mandalari, Anna Maria and Stocker, Volker and Tapiador, Juan and Vallina-Rodriguez, Narseo},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.3.52},
URN = {urn:nbn:de:0030-drops-211831},
doi = {10.4230/DagRep.14.3.52},
annote = {Keywords: Cyber Resilience Act, Software Testing, Software Analysis, IoT, Security Regulations, Security Economics}
}
Document
Trustworthiness and Responsibility in AI - Causality, Learning, and Verification (Dagstuhl Seminar 24121)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 24121 "Trustworthiness and Responsibility in AI - Causality, Learning, and Verification". How can we trust autonomous computer-based systems? Since such systems are increasingly being deployed in safety-critical environments while interoperating with humans, this question is rapidly becoming more important. This Dagstuhl Seminar addressed this question by bringing together an interdisciplinary group of researchers from Artificial Intelligence (AI), Machine Learning (ML), Robotics (ROB), hardware and software verification (VER), Software Engineering (SE), and Social Sciences (SS); who provided different and complementary perspectives on responsibility and correctness regarding the design of algorithms, interfaces, and development methodologies in AI.
The purpose of the seminar was to initiate a debate around both theoretical foundations and practical methodologies for a "Trustworthiness & Responsibility in AI" framework that integrates quantifiable responsibility and verifiable correctness into all stages of the software engineering process. Such a framework will allow governance and regulatory practices to be viewed not only as rules and regulations imposed from afar, but instead as an integrative process of dialogue and discovery to understand why an autonomous system might fail and how to help designers and regulators address these through proactive governance.
In particular, we considered how to reason about responsibility, blame, and causal factors affecting the trustworthiness of the system. More practically, we asked what tools we can provide to regulators, verification and validation professionals, and system designers to help them clarify the intent and content of regulations down to a machine interpretable form. While existing regulations are necessarily vague, and dependent on human interpretation, we asked:
How should they now be made precise and quantifiable? What is lost in the process of quantification? How do we address factors that are qualitative in nature, and integrate such concerns in an engineering regime?
In addressing these questions, the seminar benefitted from extensive discussions between AI, ML, ROB, VER, SE, and SS researchers who have experience with ethical, societal, and legal aspects of AI, complex AI systems, software engineering for AI systems, and causal analysis of counterexamples and software faults.
Cite as
Vaishak Belle, Hana Chockler, Shannon Vallor, Kush R. Varshney, Joost Vennekens, and Sander Beckers. Trustworthiness and Responsibility in AI - Causality, Learning, and Verification (Dagstuhl Seminar 24121). In Dagstuhl Reports, Volume 14, Issue 3, pp. 75-91, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
Copy BibTex To Clipboard
@Article{belle_et_al:DagRep.14.3.75,
author = {Belle, Vaishak and Chockler, Hana and Vallor, Shannon and Varshney, Kush R. and Vennekens, Joost and Beckers, Sander},
title = {{Trustworthiness and Responsibility in AI - Causality, Learning, and Verification (Dagstuhl Seminar 24121)}},
pages = {75--91},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2024},
volume = {14},
number = {3},
editor = {Belle, Vaishak and Chockler, Hana and Vallor, Shannon and Varshney, Kush R. and Vennekens, Joost and Beckers, Sander},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.3.75},
URN = {urn:nbn:de:0030-drops-211848},
doi = {10.4230/DagRep.14.3.75},
annote = {Keywords: responsible AI, trustworthy AI, causal machine learning, autonomous systems}
}
Document
Low-Dimensional Embeddings of High-Dimensional Data: Algorithms and Applications (Dagstuhl Seminar 24122)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar "Low-Dimensional Embeddings of High-Dimensional Data: Algorithms and Applications" (24122). Low-dimensional embeddings are widely used for unsupervised data exploration across many scientific fields, from single-cell biology to artificial intelligence. These fields routinely deal with high-dimensional characterization of millions of objects, and the data often contain rich structure with hierarchically organized clusters, progressions, and manifolds. Researchers increasingly use 2D embeddings (t-SNE, UMAP, autoencoders, etc.) to get an intuitive understanding of their data and to generate scientific hypotheses or follow-up analysis plans. With so many scientific insights hinging on these visualizations, it becomes urgent to examine the current state of these techniques mathematically and algorithmically.
This Dagstuhl Seminar brought together machine learning researchers working on algorithm development, mathematicians interested in provable guarantees, and practitioners applying embedding methods in biology, chemistry, humanities, social science, etc. The aim of the seminar was to (i) survey the state of the art; (ii) identify critical shortcomings of existing methods; (iii) brainstorm ideas for the next generation of methods; and (iv) forge collaborations to help make these a reality.
Cite as
Dmitry Kobak, Fred A. Hamprecht, Smita Krishnaswamy, Gal Mishne, and Sebastian Damrich. Low-Dimensional Embeddings of High-Dimensional Data: Algorithms and Applications (Dagstuhl Seminar 24122). In Dagstuhl Reports, Volume 14, Issue 3, pp. 92-115, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
Copy BibTex To Clipboard
@Article{kobak_et_al:DagRep.14.3.92,
author = {Kobak, Dmitry and Hamprecht, Fred A. and Krishnaswamy, Smita and Mishne, Gal and Damrich, Sebastian},
title = {{Low-Dimensional Embeddings of High-Dimensional Data: Algorithms and Applications (Dagstuhl Seminar 24122)}},
pages = {92--115},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2024},
volume = {14},
number = {3},
editor = {Kobak, Dmitry and Hamprecht, Fred A. and Krishnaswamy, Smita and Mishne, Gal and Damrich, Sebastian},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.3.92},
URN = {urn:nbn:de:0030-drops-211856},
doi = {10.4230/DagRep.14.3.92},
annote = {Keywords: dimensionality reduction, high-dimensional, visualization}
}