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index.html

@@ -90,6 +90,7 @@ <h2 id="contents">Contents</h2>
                 <li><a href="#solutions">Solutions</a></li>
               </ul>
               <li><a href="#prerequisites">Prerequisites</a></li>
+              <li><a href="#jose-publication">JOSE Publication</a></li>
               <li><a href="#license">License</a></li>
               <li><a href="#contribution-guidelines-and-support">Contribution Guidelines and Support</a></li>
             </ul>
@@ -287,6 +288,13 @@ <h4>Preparation</h4>
 
           <p>If you require assistance or further information with any of these please reach out to us before a training session.</p>
 
+          <h2 id="jose-publication">JOSE Publication</h2>
+          <p>This workshop has been published in JOSE, the Journal of Open Source Education with <a href="https://doi.org/10.21105/jose.00239">DOI: 10.21105/jose.00239</a>). The paper materials can be found in <a href="https://github.com/Cambridge-ICCS/practical-ml-with-pytorch/tree/main/JOSE_paper">JOSE_paper/</a> directory.<p>
+
+          <p>If you re-use or build on this material please cite this publication using the information in the <a href="https://github.com/Cambridge-ICCS/practical-ml-with-pytorch/blob/main/CITATION.cff">CITATION.cff</a> file.
+
+          <code>@article{Atkinson2024, doi = {10.21105/jose.00239}, url = {https://doi.org/10.21105/jose.00239}, year = {2024}, publisher = {The Open Journal}, volume = {7}, number = {76}, pages = {239}, author = {Jack Atkinson and Jim Denholm}, title = {Practical machine learning with PyTorch}, journal = {Journal of Open Source Education} }</code>
+
           <h2 id="license">License</h2>
           <p>The code materials in this project are licensed under the <a rel="license" href="https://opensource.org/licenses/MIT">MIT</a> license.</p>