Published Work

Conference Talks:

  • Biderman, Masad, and Lawson. How to be Wrong, but Useful: A Case Study on Tool Selection in Social Network Analysis. Presentation at the 2nd Annual North American Social Networks Conference. 2018. [Slides]


  • Masad, Biderman, Shishkoff, and Baird. Reinforcement Learning in Conflict Escalation Games. Poster at the 35th Annual Meeting of the Society for Political Methodology. 2018. [Abstract] [Poster]
  • Biderman, Cuddy, Li, and Song. The Sensitivity of k-Uniform Hypergraph Properties. Poster at the 3rd Annual University of Chicago Undergraduate Research Symposium. Awarded “Best Presentation in Computer Science” award. 2016. [arXiv]