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<p class="elementToProof" style="margin-top: 0px; margin-bottom: 0px;"><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">The deadline for submissions has been extended to February 12.</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">We are delighted to announce that the 1st Workshop on Social Choice and Learning Algorithms (SCaLA-24) will take place at AAMAS 2024 in Auckland, New Zealand, May 6 or 7, 2024.
It will feature technical sessions, a keynote speaker, and opportunities to develop collaborations between researchers working in social choice and those working in machine learning.</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">The website and submission instructions can be found at the following link:
<a href="https://sites.google.com/view/scala24" style="margin-top: 0px; margin-bottom: 0px;">
https://sites.google.com/view/scala24</a></span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">The submission deadline is
<s>Feb 5</s> <b>Feb 12, 2024</b>. We encourage submissions of fully developed research projects as well as preliminary explorations of novel ideas. Submissions should include components from both fields of social choice and machine learning (or closely related
topics).</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0); font-weight: 700;">Topics of interest include (but are not limited to):</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Computational social choice</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Fair Division</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Matching</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Voting theory</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Sortition</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Clustering</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Ensemble learning</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Explainable ML</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Language models</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Learning preferences</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">PAC-learning</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0); font-weight: 700;">Organizing Committee</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Ben Armstrong</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Roy Fairstein</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Nick Mattei</span></p>
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<span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Zoi Terzopoulou</span></p>
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