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

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 nsmattei@tulane.edu | 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 ********************************************************** * * Contributions to be spread via DMANET are submitted to * * DMANET@zpr.uni-koeln.de * * Replies to a message carried on DMANET should NOT be * addressed to DMANET but to the original sender. The * original sender, however, is invited to prepare an * update of the replies received and to communicate it * via DMANET. * * DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET) * http://www.zaik.uni-koeln.de/AFS/publications/dmanet/ * **********************************************************