I am currently a Postdoctoral Fellow in the Department of Computer Science at Tulane University where I work with Nick Mattei. I obtained my PhD from the David R. Cheriton School of Computer Science at the University of Waterloo where I was supervised by Kate Larson.

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Email: research@<myname>.ca

I am interested in experimental connections between social choice and machine learning.

Currently I am exploring how (and whether!) machine learning can be useful for learning about voting rules. I’m particularly focused on what ML models can teach us about existing rules and how they can be used to create new rules.

I have also spent a fair amount of time investigating potential uses for liquid democracy and viscous democracy. This has included considering whether delegation can be used to improve the performance of classifier ensembles in machine learning and uncovering in what settings delegative voting is most accurate.

news

Aug 16, 2025 We will be running the Second Workshop on Social Choice and Learning Algorithms. Consider submitting a paper OR an extended abstract by May 9th.
Apr 11, 2025 I defended my PhD thesis in January and am starting a postdoc at Tulane University with Nick Mattei. Come say hi if you’re near New Orleans!
Aug 04, 2024 I’m attending IJCAI in South Korea to present my main conference paper and give an invited talk at the Workshop on Democracy and AI!
May 08, 2024 I will be at AAMAS in New Zealand with an extended abstract, 2 workshop papers, and to run the SCaLA workshop (it will be a busy week!).
May 07, 2024 AAMAS has accepted my proposal to run a brand-new workshop, “Social Choice and Learning Algorithms” with Roy Fairstein, Nick Mattei, and Zoi Terzopoulou. Interested in ML or social choice? Join us on May 7th if you are attending AAMAS!

selected publications

  1. How Should We Vote? A Comparison of Voting Systems within Social Networks
    Shiri Alouf-Heffetz , Ben Armstrong, Kate Larson , and 1 more author
    In Proceedings of the 31st International Joint Conference on Artificial Intelligence , Jul 2022
  2. Liquid Democracy for Low-Cost Ensemble Pruning
    Ben Armstrong, and Kate Larson
    May 2024
    Extended Abstract. Full version available on ArXiV.
  3. Optimizing Viscous Democracy
    Ben Armstrong, Shiri Alouf-Heffetz , and Nimrod Talmon
    33rd International Joint Conference on Artificial Intelligence, Aug 2024