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Dagstuhl Reports, Volume 9, Issue 11



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Complete Issue
Dagstuhl Reports, Volume 9, Issue 11, November 2019, Complete Issue

Abstract
Dagstuhl Reports, Volume 9, Issue 11, November 2019, Complete Issue

Cite as

Dagstuhl Reports, Volume 9, Issue 11, November 2019, Complete Issue. In Dagstuhl Reports, Volume 9, Issue 11, pp. 1-126, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


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@Article{DagRep.9.11,
  title =	{{Dagstuhl Reports, Volume 9, Issue 11, November 2019, Complete Issue}},
  pages =	{1--126},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{11},
  editor =	{},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.11},
  URN =		{urn:nbn:de:0030-drops-119790},
  doi =		{10.4230/DagRep.9.11},
  annote =	{Keywords: Dagstuhl Reports, Volume 9, Issue 11, November 2019, Complete Issue}
}
Document
Front Matter
Dagstuhl Reports, Table of Contents, Volume 9, Issue 11, 2019

Abstract
Dagstuhl Reports, Table of Contents, Volume 9, Issue 11, 2019

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Dagstuhl Reports, Table of Contents, Volume 9, Issue 11, 2019. In Dagstuhl Reports, Volume 9, Issue 11, pp. i-ii, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


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@Article{DagRep.9.11.i,
  title =	{{Dagstuhl Reports, Table of Contents, Volume 9, Issue 11, 2019}},
  pages =	{i--ii},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{11},
  editor =	{},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.11.i},
  URN =		{urn:nbn:de:0030-drops-119800},
  doi =		{10.4230/DagRep.9.11.i},
  annote =	{Keywords: Table of Contents, Frontmatter}
}
Document
Biggest Failures in Security (Dagstuhl Seminar 19451)

Authors: Frederik Armknecht, Ingrid Verbauwhede, Melanie Volkamer, and Moti Yung


Abstract
In the present era of ubiquitous digitalization, security is a concern for everyone. Despite enormous efforts, securing IT systems still remains an open challenge for community and industry. One of the main reasons is that the variety and complexity of IT systems keeps increasing, making it practically impossible for security experts to grasp the full system. A further problem is that security has become an interdisciplinary challenge. While interdisciplinary research does exist already, it is mostly restricted to collaborations between two individual disciplines and has been rather bottom-up by focusing on very specific problems. The idea of the Dagstuhl Seminar was to go one step back and to follow a comprehensive top-down approach instead. The goal was to identify the "biggest failures" in security and to get a comprehensive understanding on their overall impact on security. To this end, the Dagstuhl Seminar was roughly divided into two parts. First, experienced experts from different disciplines gave overview talks on the main problems of their field. Based on these, overlapping topics but also common research interests among the participants have been identified. Afterwards, individual working groups have been formed to work on the identified questions.

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Frederik Armknecht, Ingrid Verbauwhede, Melanie Volkamer, and Moti Yung. Biggest Failures in Security (Dagstuhl Seminar 19451). In Dagstuhl Reports, Volume 9, Issue 11, pp. 1-23, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


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@Article{armknecht_et_al:DagRep.9.11.1,
  author =	{Armknecht, Frederik and Verbauwhede, Ingrid and Volkamer, Melanie and Yung, Moti},
  title =	{{Biggest Failures in Security (Dagstuhl Seminar 19451)}},
  pages =	{1--23},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{11},
  editor =	{Armknecht, Frederik and Verbauwhede, Ingrid and Volkamer, Melanie and Yung, Moti},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.11.1},
  URN =		{urn:nbn:de:0030-drops-119818},
  doi =		{10.4230/DagRep.9.11.1},
  annote =	{Keywords: Cryptography, Hardware, Security engineering, Software engineering, Usability, Human Computer interaction (HCI), Human and societal aspects of security and privacy, Usable security or human factors in security, Security evaluation and certification}
}
Document
Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452)

Authors: Enrico Bertini, Peer-Timo Bremer, Daniela Oelke, and Jayaraman Thiagarajan


Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 19452 "Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable".

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Enrico Bertini, Peer-Timo Bremer, Daniela Oelke, and Jayaraman Thiagarajan. Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452). In Dagstuhl Reports, Volume 9, Issue 11, pp. 24-33, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


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@Article{bertini_et_al:DagRep.9.11.24,
  author =	{Bertini, Enrico and Bremer, Peer-Timo and Oelke, Daniela and Thiagarajan, Jayaraman},
  title =	{{Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452)}},
  pages =	{24--33},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{11},
  editor =	{Bertini, Enrico and Bremer, Peer-Timo and Oelke, Daniela and Thiagarajan, Jayaraman},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.11.24},
  URN =		{urn:nbn:de:0030-drops-119820},
  doi =		{10.4230/DagRep.9.11.24},
  annote =	{Keywords: Visualization, Machine Learning, Interpretability}
}
Document
Conversational Search (Dagstuhl Seminar 19461)

Authors: Avishek Anand, Lawrence Cavedon, Hideo Joho, Mark Sanderson, and Benno Stein


Abstract
Dagstuhl Seminar 19461 "Conversational Search" was held on 10-15 November 2019. 44 researchers in Information Retrieval and Web Search, Natural Language Processing, Human Computer Interaction, and Dialogue Systems were invited to share the latest development in the area of Conversational Search and discuss its research agenda and future directions. A 5-day program of the seminar consisted of six introductory and background sessions, three visionary talk sessions, one industry talk session, and seven working groups and reporting sessions. The seminar also had three social events during the program. This report provides the executive summary, overview of invited talks, and findings from the seven working groups which cover the definition, evaluation, modelling, explanation, scenarios, applications, and prototype of Conversational Search. The ideas and findings presented in this report should serve as one of the main sources for diverse research programs on Conversational Search.

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Avishek Anand, Lawrence Cavedon, Hideo Joho, Mark Sanderson, and Benno Stein. Conversational Search (Dagstuhl Seminar 19461). In Dagstuhl Reports, Volume 9, Issue 11, pp. 34-83, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


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@Article{anand_et_al:DagRep.9.11.34,
  author =	{Anand, Avishek and Cavedon, Lawrence and Joho, Hideo and Sanderson, Mark and Stein, Benno},
  title =	{{Conversational Search (Dagstuhl Seminar 19461)}},
  pages =	{34--83},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{11},
  editor =	{Anand, Avishek and Cavedon, Lawrence and Joho, Hideo and Sanderson, Mark and Stein, Benno},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.11.34},
  URN =		{urn:nbn:de:0030-drops-119837},
  doi =		{10.4230/DagRep.9.11.34},
  annote =	{Keywords: discourse and dialogue, human-machine interaction, information retrieval, interactive systems, user simulation}
}
Document
BOTse: Bots in Software Engineering (Dagstuhl Seminar 19471)

Authors: Margaret-Anne Storey, Alexander Serebrenik, Carolyn Penstein Rosé, Thomas Zimmermann, and James D. Herbsleb


Abstract
This report documents the program and the outcomes of the Dagstuhl Seminar 19471 "BOTse: Bots in Software Engineering". This Dagstuhl seminar brought researchers and practitioners together from multiple research communities with disparate views of what bots are and what they can do for software engineering. The goals were to understand how bots are used today, how they could be used in innovative ways in the future, how the use of bots can be compared and synthesized, and to identify and share risks and challenges that may emerge from using bots in practice. The report briefly summarizes the goals and format of the seminar and provides selected insights and results collected during the seminar.

Cite as

Margaret-Anne Storey, Alexander Serebrenik, Carolyn Penstein Rosé, Thomas Zimmermann, and James D. Herbsleb. BOTse: Bots in Software Engineering (Dagstuhl Seminar 19471). In Dagstuhl Reports, Volume 9, Issue 11, pp. 84-96, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


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@Article{storey_et_al:DagRep.9.11.84,
  author =	{Storey, Margaret-Anne and Serebrenik, Alexander and Ros\'{e}, Carolyn Penstein and Zimmermann, Thomas and Herbsleb, James D.},
  title =	{{BOTse: Bots in Software Engineering (Dagstuhl Seminar 19471)}},
  pages =	{84--96},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{11},
  editor =	{Storey, Margaret-Anne and Serebrenik, Alexander and Ros\'{e}, Carolyn Penstein and Zimmermann, Thomas and Herbsleb, James D.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.11.84},
  URN =		{urn:nbn:de:0030-drops-119848},
  doi =		{10.4230/DagRep.9.11.84},
  annote =	{Keywords: automated software development, bots, chatbots, collaborative software development, cscw, devops, nlp, software engineering}
}
Document
Composing Model-Based Analysis Tools (Dagstuhl Seminar 19481)

Authors: Francisco Durán, Robert Heinrich, Diego Pérez-Palacín, Carolyn L. Talcott, and Steffen Zschaler


Abstract
This report documents the program and the outcomes of the Dagstuhl Seminar 19481 "Composing Model-Based Analysis Tools". The key objective of the seminar was to provide more flexibility in model-driven engineering by bringing together representatives from industry and researchers in the formal methods and software engineering communities to establishing the foundations for a common understanding on the modularity and composition of modeling languages and model-based analyses.

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Francisco Durán, Robert Heinrich, Diego Pérez-Palacín, Carolyn L. Talcott, and Steffen Zschaler. Composing Model-Based Analysis Tools (Dagstuhl Seminar 19481). In Dagstuhl Reports, Volume 9, Issue 11, pp. 97-116, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


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@Article{duran_et_al:DagRep.9.11.97,
  author =	{Dur\'{a}n, Francisco and Heinrich, Robert and P\'{e}rez-Palac{\'\i}n, Diego and Talcott, Carolyn L. and Zschaler, Steffen},
  title =	{{Composing Model-Based Analysis Tools (Dagstuhl Seminar 19481)}},
  pages =	{97--116},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{11},
  editor =	{Dur\'{a}n, Francisco and Heinrich, Robert and P\'{e}rez-Palac{\'\i}n, Diego and Talcott, Carolyn L. and Zschaler, Steffen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.11.97},
  URN =		{urn:nbn:de:0030-drops-119853},
  doi =		{10.4230/DagRep.9.11.97},
  annote =	{Keywords: Modelling, Simulation, Semantics, Formal Methods, Software Engineering}
}
Document
Diversity, Fairness, and Data-Driven Personalization in (News) Recommender System (Dagstuhl Perspectives Workshop 19482)

Authors: Abraham Bernstein, Claes De Vreese, Natali Helberger, Wolfgang Schulz, and Katharina A. Zweig


Abstract
As people increasingly rely on online media and recommender systems to consume information, engage in debates and form their political opinions, the design goals of online media and news recommenders have wide implications for the political and social processes that take place online and offline. Current recommender systems have been observed to promote personalization and more effective forms of informing, but also to narrow the user’s exposure to diverse content. Concerns about echo-chambers and filter bubbles highlight the importance of design metrics that can successfully strike a balance between accurate recommendations that respond to individual information needs and preferences, while at the same time addressing concerns about missing out important information, context and the broader cultural and political diversity in the news, as well as fairness. A broader, more sophisticated vision of the future of personalized recommenders needs to be formed - a vision that can only be developed as the result of a collaborative effort by different areas of academic research (media studies, computer science, law and legal philosophy, communication science, political philosophy, and democratic theory). The proposed workshop will set first steps to develop such a much needed vision on the role of recommender systems on the democratic role of the media and define the guidelines as well as a manifesto for future research and long-term goals for the emerging topic of fairness, diversity, and personalization in recommender systems.

Cite as

Abraham Bernstein, Claes De Vreese, Natali Helberger, Wolfgang Schulz, and Katharina A. Zweig. Diversity, Fairness, and Data-Driven Personalization in (News) Recommender System (Dagstuhl Perspectives Workshop 19482). In Dagstuhl Reports, Volume 9, Issue 11, pp. 117-124, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)


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@Article{bernstein_et_al:DagRep.9.11.117,
  author =	{Bernstein, Abraham and De Vreese, Claes and Helberger, Natali and Schulz, Wolfgang and Zweig, Katharina A.},
  title =	{{Diversity, Fairness, and Data-Driven Personalization in (News) Recommender System (Dagstuhl Perspectives Workshop 19482)}},
  pages =	{117--124},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{11},
  editor =	{Bernstein, Abraham and De Vreese, Claes and Helberger, Natali and Schulz, Wolfgang and Zweig, Katharina A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.11.117},
  URN =		{urn:nbn:de:0030-drops-119863},
  doi =		{10.4230/DagRep.9.11.117},
  annote =	{Keywords: News, recommender systems, diversity}
}

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