Team formation amidst conflicts
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Published version
Date
2024-05-13
Authors
Nikolaou, Iasonas
Terzi, Evimaria
Version
OA Version
Citation
Iasonas Nikolaou and Evimaria Terzi. 2024. Team Formation amidst Conflicts. In Proceedings of the ACM on Web Conference 2024 (WWW '24). Association for Computing Machinery, New York, NY, USA, 2417–2428. https://doi.org/10.1145/3589334.3645444
Abstract
In this work, we formulate the problem of team formation amidst conflicts. The goal is to assign individuals to tasks, with given capacities, taking into account individuals' task preferences and the conflicts between them. Using dependent rounding schemes as our main toolbox, we provide efficient approximation algorithms. Our framework is extremely versatile and can model many different real-world scenarios as they arise in educational settings and human-resource management. We test and deploy our algorithms on real-world datasets and we show that our algorithms find assignments that are better than those found by natural baselines. In the educational setting we also show how our assignments are far better than those done manually by human experts. In the humanresource management application we show how our assignments increase the diversity of teams. Finally, using a synthetic dataset we demonstrate that our algorithms scale very well in practice.
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License
© 2024 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License. This article has been published under a Read & Publish Transformative Open Access (OA) Agreement with ACM.