How to make elections fairer – a glimpse of math for democracy | Peter Gritzmann
How can it happen that, in an election, the voters’ will is turned upside down? Our voting systems are never entirely fair, but math can help at least make them fairer. One natural goal is to optimize the size, shape, and location of the electoral districts. In this talk, Peter Gritzmann sheds light on the complex mathematical algorithms that can achieve this and provides us with the knowledge to critically reflect on democracy and its underlying mechanisms. References: 1. A. Brieden, P. Gritzmann, F. Klemm, Constrained clustering via diagrams: A unified theory and its application to electoral district design, European Journal of Operational Research 263 (2017), pp. 18-34. DOI https://doi.org/10.1016/j.ejor.2017.04.018 2. S. Borgwardt, A. Brieden, and P. Gritzmann (2014), Geometric clustering for the consolidation of farmland and woodland. Mathematical Intelligencer (2014), pp. 37-44. DOI https://doi.org/10.1007/s00283-014-9448-2 Thanks: Special thanks go to Fabian Klemm for his support.