Call for Papers: Workshop on Social Choice and Learning Algorithms at IJCAI 2026

Nicholas Mattei via dmanet <[email protected]>
Newsgroups gmane.science.mathematics.discrete
Message-ID <CAKa3QmACuK-7EeMzwshv4cd9WUm9Gw1MhfLq7MPcb1Z2OQoRjg@mail.gmail.com>
Call for Papers: Workshop on Social Choice and Learning Algorithms at IJCAI
2026

We are delighted to announce that the 3rd Workshop on Social Choice and
Learning Algorithms (SCaLA-26) will take place at IJCAI during August 2026
in Bremen, Germany. It will feature technical sessions, a keynote speaker,
and opportunities to forge collaborations between researchers working in
social choice and those working in machine learning.

The website and submission instructions can be found at the following link:
https://sites.google.com/view/scala26

The submission deadline is May 8, 2026. We encourage submissions of fully
developed research projects, or extended abstracts representing preliminary
explorations of novel ideas. Submissions should include components from
both fields of social choice and machine learning (or closely related
topics).

Topics of interest include (but not limited to):

   -

   Computational social choice
   -

   Fair Division
   -

   Matching
   -

   Voting theory
   -

   Sortition
   -

   Clustering
   -

   Ensemble learning
   -

   Explainable ML
   -

   Language models
   -

   Learning preferences
   -

   PAC-learning


Examples of interesting connections between these topics include, but are
not at all limited to:

   -

   Using machine learning to learn new mechanisms for matching
   -

   Novel uses of social choice for ensemble learning
   -

   Exploring the application of fair division concepts to clustering
   problems, or vice-versa
   -

   Applying multi-winner voting concepts to multi-class classification tasks



Organizing Committee

Ben Armstrong

Saar Cohen

Nicholas Mattei

Zoi Terzopoulou


-- 
*Nicholas Mattei*
Associate Professor, Tulane University
[email protected] | www.nickmattei.net
Stanley Thomas Hall | 305B
+1 504 247 1416
Department of Computer Science
Tulane University
6823 St Charles Ave
New Orleans, LA 70118

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