Issue
Dagstuhl Reports, Volume 6, Issue 2
-
Part of:
Volume:
Dagstuhl Reports, Volume 6
Journal: Dagstuhl Reports (DagRep)
Event
Dagstuhl Seminars 16061, 16062, 16071, 16072, 16081, 16091, 16092Publication Details
- published at: 2016-09-07
- Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
- DBLP: db/journals/dagstuhl-reports/dagstuhl-reports6
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Document
Complete Issue
Dagstuhl Reports, Volume 6, Issue 2, February 2016, Complete Issue
Abstract
Dagstuhl Reports, Volume 6, Issue 2, February 2016, Complete Issue
Cite as
Dagstuhl Reports, Volume 6, Issue 2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)
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@Article{DagRep.6.2,
title = {{Dagstuhl Reports, Volume 6, Issue 2, February 2016, Complete Issue}},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2016},
volume = {6},
number = {2},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.2},
URN = {urn:nbn:de:0030-drops-66754},
doi = {10.4230/DagRep.6.2},
annote = {Keywords: Dagstuhl Reports, Volume 6, Issue 2, February 2016, Complete Issue}
}
Document
Front Matter
Dagstuhl Reports, Table of Contents, Volume 6, Issue 2, 2016
Abstract
Table of Contents, Frontmatter
Cite as
Dagstuhl Reports, Volume 6, Issue 2, pp. i-ii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)
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@Article{DagRep.6.2.i,
title = {{Dagstuhl Reports, Table of Contents, Volume 6, Issue 2, 2016}},
pages = {i--ii},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2016},
volume = {6},
number = {2},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.2.i},
URN = {urn:nbn:de:0030-drops-66744},
doi = {10.4230/DagRep.6.2.i},
annote = {Keywords: Dagstuhl Reports, Table of Contents, Volume 6, Issue 2, 2016}
}
Document
Data-Driven Storytelling (Dagstuhl Seminar 16061)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 16061 "Data-Driven Storytelling".
Close to forty researchers and practitioners descended on Schloss Dagstuhl to forge an interdisciplinary agenda on the topic of data-driven storytelling using visualization in early February, 2016. With burgeoning research interest in understanding what makes visualization effective for communication, and with practitioners pushing the envelope of the craft of visual communication, the meeting put different modes of thinking between computer science researchers and data visualization practitioners in close proximity for a week.
Cite as
Sheelagh Carpendale, Nicholas Diakopoulos, Nathalie Henry Riche, and Christophe Hurter. Data-Driven Storytelling (Dagstuhl Seminar 16061). In Dagstuhl Reports, Volume 6, Issue 2, pp. 1-27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)
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@Article{carpendale_et_al:DagRep.6.2.1,
author = {Carpendale, Sheelagh and Diakopoulos, Nicholas and Henry Riche, Nathalie and Hurter, Christophe},
title = {{Data-Driven Storytelling (Dagstuhl Seminar 16061)}},
pages = {1--27},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2016},
volume = {6},
number = {2},
editor = {Carpendale, Sheelagh and Diakopoulos, Nicholas and Henry Riche, Nathalie and Hurter, Christophe},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.2.1},
URN = {urn:nbn:de:0030-drops-58219},
doi = {10.4230/DagRep.6.2.1},
annote = {Keywords: data journalism, information visualization, personal visualization, storytelling, visual literacy}
}
Document
Modeling and Analysis of Semiconductor Supply Chains (Dagstuhl Seminar 16062)
Abstract
In February 2016 the Dagstuhl Seminar 16062 explored the needs of the semiconductor industry for better planning and scheduling approaches at the supply chain level and the requirements for information systems to support the approaches. The seminar participants also spent time identifying the core elements of a conceptual reference model for planning and control of semiconductor manufacturing supply chains. This Executive Summary describes the process of the seminar and discusses key findings and areas for future research regarding these topics. Abstracts of presentations given during the seminar and the output of breakout sessions are collected in appendices.
Cite as
Chen-Fu Chien, Hans Ehm, John Fowler, and Lars Mönch. Modeling and Analysis of Semiconductor Supply Chains (Dagstuhl Seminar 16062). In Dagstuhl Reports, Volume 6, Issue 2, pp. 28-64, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)
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@Article{chien_et_al:DagRep.6.2.28,
author = {Chien, Chen-Fu and Ehm, Hans and Fowler, John and M\"{o}nch, Lars},
title = {{Modeling and Analysis of Semiconductor Supply Chains (Dagstuhl Seminar 16062)}},
pages = {28--64},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2016},
volume = {6},
number = {2},
editor = {Chien, Chen-Fu and Ehm, Hans and Fowler, John and M\"{o}nch, Lars},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.2.28},
URN = {urn:nbn:de:0030-drops-58606},
doi = {10.4230/DagRep.6.2.28},
annote = {Keywords: Modeling, Simulation, Supply Chain Management, Semiconductor Manufacturing}
}
Document
Pattern Avoidance and Genome Sorting (Dagstuhl Seminar 16071)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 16071 "Pattern Avoidance and Genome Sorting".
Cite as
Michael Albert, Miklós Bóna, István Miklós, and Einar Steingrimsson. Pattern Avoidance and Genome Sorting (Dagstuhl Seminar 16071). In Dagstuhl Reports, Volume 6, Issue 2, pp. 65-77, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)
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@Article{albert_et_al:DagRep.6.2.65,
author = {Albert, Michael and B\'{o}na, Mikl\'{o}s and Mikl\'{o}s, Istv\'{a}n and Steingrimsson, Einar},
title = {{Pattern Avoidance and Genome Sorting (Dagstuhl Seminar 16071)}},
pages = {65--77},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2016},
volume = {6},
number = {2},
editor = {Albert, Michael and B\'{o}na, Mikl\'{o}s and Mikl\'{o}s, Istv\'{a}n and Steingrimsson, Einar},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.2.65},
URN = {urn:nbn:de:0030-drops-58615},
doi = {10.4230/DagRep.6.2.65},
annote = {Keywords: evolutionary distance, lists, metrics, patterns, permutations, sorting}
}
Document
Assessing Learning In Introductory Computer Science (Dagstuhl Seminar 16072)
Abstract
This seminar discussed educational outcomes for first-year (university-level) computer science. We explored which outcomes were widely shared across both countries and individual universities, best practices for assessing outcomes, and research projects that would significantly advance assessment of learning in computer science. We considered both technical and professional outcomes (some narrow and some broad) as well as how to create assessments that focused on individual learners. Several concrete research projects took shape during the seminar and are being pursued by some participants.
Cite as
Michael E. Caspersen, Kathi Fisler, and Jan Vahrenhold. Assessing Learning In Introductory Computer Science (Dagstuhl Seminar 16072). In Dagstuhl Reports, Volume 6, Issue 2, pp. 78-96, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)
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@Article{caspersen_et_al:DagRep.6.2.78,
author = {Caspersen, Michael E. and Fisler, Kathi and Vahrenhold, Jan},
title = {{Assessing Learning In Introductory Computer Science (Dagstuhl Seminar 16072)}},
pages = {78--96},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2016},
volume = {6},
number = {2},
editor = {Caspersen, Michael E. and Fisler, Kathi and Vahrenhold, Jan},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.2.78},
URN = {urn:nbn:de:0030-drops-58899},
doi = {10.4230/DagRep.6.2.78},
annote = {Keywords: Assessment, Learning Objectives}
}
Document
Scheduling (Dagstuhl Seminar 16081)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 16081 "Scheduling". The seminar was centered around recent new developments, discussion of open problems and exploring future research directions within the broader scheduling community.
Cite as
Nikhil Bansal, Nicole Megow, and Clifford Stein. Scheduling (Dagstuhl Seminar 16081). In Dagstuhl Reports, Volume 6, Issue 2, pp. 97-118, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)
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@Article{bansal_et_al:DagRep.6.2.97,
author = {Bansal, Nikhil and Megow, Nicole and Stein, Clifford},
title = {{Scheduling (Dagstuhl Seminar 16081)}},
pages = {97--118},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2016},
volume = {6},
number = {2},
editor = {Bansal, Nikhil and Megow, Nicole and Stein, Clifford},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.2.97},
URN = {urn:nbn:de:0030-drops-58902},
doi = {10.4230/DagRep.6.2.97},
annote = {Keywords: approximation algorithms, scheduling, optimization}
}
Document
Computational Challenges in Cooperative Intelligent Urban Transport (Dagstuhl Seminar 16091)
Abstract
This report documents the talks and group work of Dagstuhl Seminar 16091 "Computational Challenges in Cooperative Intelligent Urban Transport". This interdisciplinary seminar brought researchers together from many fields including computer science, transportation, operations research, mathematics, machine learning and artificial intelligence. The seminar included two formats of talks: several minute research statements and longer overview talks. The talks given are documented here with abstracts. Furthermore, this seminar consisted of significant amounts of group work that is also documented with short abstracts detailing group discussions and planned outcomes.
Cite as
Caitlin Doyle Cottrill, Jan Fabian Ehmke, Frankziska Klügl, and Sabine Timpf. Computational Challenges in Cooperative Intelligent Urban Transport (Dagstuhl Seminar 16091). In Dagstuhl Reports, Volume 6, Issue 2, pp. 119-146, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)
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@Article{doylecottrill_et_al:DagRep.6.2.119,
author = {Doyle Cottrill, Caitlin and Ehmke, Jan Fabian and Kl\"{u}gl, Frankziska and Timpf, Sabine},
title = {{Computational Challenges in Cooperative Intelligent Urban Transport (Dagstuhl Seminar 16091)}},
pages = {119--146},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2016},
volume = {6},
number = {2},
editor = {Doyle Cottrill, Caitlin and Ehmke, Jan Fabian and Kl\"{u}gl, Frankziska and Timpf, Sabine},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.2.119},
URN = {urn:nbn:de:0030-drops-58913},
doi = {10.4230/DagRep.6.2.119},
annote = {Keywords: collaborative transport, Computational transportation science, Cooperative computing, Crowd-sourcing of transportation data, Intelligent transportation systems}
}
Document
Computational Music Structure Analysis (Dagstuhl Seminar 16092)
Abstract
Music is a ubiquitous and vital part of the lives of billions of people worldwide. Musical creations and performances are among the most complex and intricate of our cultural artifacts, and the emotional power of music can touch us in surprising and profound ways. In view of the rapid and sustained growth of digital music sharing and distribution, the development of computational methods to help users find and organize music information has become an important field of research in both industry and academia.
The Dagstuhl Seminar 16092 was devoted to a research area known as music structure analysis, where the general objective is to uncover patterns and relationships that govern the organization of
notes, events, and sounds in music. Gathering researchers from different fields, we critically reviewed the state of the art for computational approaches to music structure analysis in order to identify the main limitations of existing methodologies. This triggered interdisciplinary discussions that leveraged insights from fields as disparate as psychology, music theory, composition, signal processing, machine learning, and information sciences to address the specific challenges of understanding structural information in music. Finally, we explored novel applications of these technologies in music and multimedia retrieval, content creation, musicology, education, and human-computer interaction.
In this report, we give an overview of the various contributions and results of the seminar. We start with an executive summary, which describes the main
topics, goals, and group activities. Then, we present a list of abstracts
giving a more detailed overview of the participants' contributions as well
as of the ideas and results discussed in the group meetings of our seminar.
Cite as
Meinard Müller, Elaine Chew, and Juan Pablo Bello. Computational Music Structure Analysis (Dagstuhl Seminar 16092). In Dagstuhl Reports, Volume 6, Issue 2, pp. 147-190, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)
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@Article{muller_et_al:DagRep.6.2.147,
author = {M\"{u}ller, Meinard and Chew, Elaine and Bello, Juan Pablo},
title = {{Computational Music Structure Analysis (Dagstuhl Seminar 16092)}},
pages = {147--190},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2016},
volume = {6},
number = {2},
editor = {M\"{u}ller, Meinard and Chew, Elaine and Bello, Juan Pablo},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.2.147},
URN = {urn:nbn:de:0030-drops-61415},
doi = {10.4230/DagRep.6.2.147},
annote = {Keywords: Music Information Retrieval, Music Processing, Music Perception and Cognition, Music Composition and Performance, Knowledge Representation, User Interaction and Interfaces, Audio Signal Processing, Machine Learning}
}