Dagstuhl Reports, Volume 12, Issue 7,
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Dagstuhl Reports, Volume 12, Issue 7, July 2022, Complete Issue
10.4230/DagRep.12.7
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Dagstuhl Reports, Table of Contents, Volume 12, Issue 7, 2022
10.4230/DagRep.12.7.i
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Markus Brill, Jiehua Chen, Andreas Darmann, David Pennock, and Matthias Greger
Algorithms for Participatory Democracy (Dagstuhl Seminar 22271)
10.4230/DagRep.12.7.1
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Florian `Floyd' Mueller, Marianna Obrist, Soh Kim, Masahiko Inami, and Jialin Deng
Eat-IT: Towards Understanding Interactive Technology and Food (Dagstuhl Seminar 22272)
10.4230/DagRep.12.7.19
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Battista Biggio, Nicholas Carlini, Pavel Laskov, Konrad Rieck, and Antonio Emanuele Cinà
Security of Machine Learning (Dagstuhl Seminar 22281)
10.4230/DagRep.12.7.41
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James P. Delgrande, Birte Glimm, Thomas Meyer, Miroslaw Truszczynski, Milene Santos Teixeira, and Frank Wolter
Current and Future Challenges in Knowledge Representation and Reasoning (Dagstuhl Seminar 22282)
10.4230/DagRep.12.7.62
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Sébastien Bardin, Somesh Jha, and Vijay Ganesh
Machine Learning and Logical Reasoning: The New Frontier (Dagstuhl Seminar 22291)
10.4230/DagRep.12.7.80
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Maud Ehrmann, Marten Düring, Clemens Neudecker, and Antoine Doucet
Computational Approaches to Digitised Historical Newspapers (Dagstuhl Seminar 22292)
10.4230/DagRep.12.7.112
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Phokion G. Kolaitis, Andrej E. Romashchenko, Milan Studený, Dan Suciu, and Tobias A. Boege
Algorithmic Aspects of Information Theory (Dagstuhl Seminar 22301)
10.4230/DagRep.12.7.180
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Neil Brown, Mark J. Guzdial, Shriram Krishnamurthi, and Jens Mönig
Educational Programming Languages and Systems (Dagstuhl Seminar 22302)
10.4230/DagRep.12.7.205