HTML Export for Dagstuhl Reports, Volume 11, Issue 9

Copy to Clipboard Download

<h2>Dagstuhl Reports, Volume 11, Issue 9, </h2>
<ul>
<li>
    <span class="title">Dagstuhl Reports, Volume 11, Issue 9, October 2021, Complete Issue</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.11.9">10.4230/DagRep.11.9</a>
</li>
<li>
    <span class="title">Dagstuhl Reports, Table of Contents, Volume 11, Issue 9, 2021</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.11.9.i">10.4230/DagRep.11.9.i</a>
</li>
<li>
    <span class="authors">Karsten Klein, Georgeta Elisabeta Marai, Kay Katja Nieselt, and Blaz Zupan</span>
    <span class="title">Visualization of Biological Data - From Analysis to Communication (Dagstuhl Seminar 21401)</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.11.9.1">10.4230/DagRep.11.9.1</a>
</li>
<li>
    <span class="authors">Claude Kirchner and Franziska Roesner</span>
    <span class="title">Digital Disinformation: Taxonomy, Impact, Mitigation, and Regulation (Dagstuhl Seminar 21402)</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.11.9.28">10.4230/DagRep.11.9.28</a>
</li>
<li>
    <span class="authors">Ulf Brefeld, Jesse Davis, Martin Lames, and James J. Little</span>
    <span class="title">Machine Learning in Sports (Dagstuhl Seminar 21411)</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.11.9.45">10.4230/DagRep.11.9.45</a>
</li>
<li>
    <span class="authors">Stacey Jeffery, Michele Mosca, Maria Naya-Plasencia, and Rainer Steinwandt</span>
    <span class="title">Quantum Cryptanalysis (Dagstuhl Seminar 21421)</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.11.9.64">10.4230/DagRep.11.9.64</a>
</li>
<li>
    <span class="authors">Nikolaj S. Bjørner, Maria Christakis, Matteo Maffei, and Grigore Rosu</span>
    <span class="title">Rigorous Methods for Smart Contracts (Dagstuhl Seminar 21431)</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.11.9.80">10.4230/DagRep.11.9.80</a>
</li>
<li>
    <span class="authors">Philipp Hennig, Ilse C.F. Ipsen, Maren Mahsereci, and Tim Sullivan</span>
    <span class="title">Probabilistic Numerical Methods - From Theory to Implementation (Dagstuhl Seminar 21432)</span>
    <a class="doi" href="https://doi.org/10.4230/DagRep.11.9.102">10.4230/DagRep.11.9.102</a>
</li>
</ul>

The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.

Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode

Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail