Augmented reality (AR) applications have a serious problem with the accuracy of the azimuth angle provided by mobile devices. The fusion of the digital magnetic compass (DMC), accelerometer and gyroscope gives the translation and rotation of the observer in 3D space. However, the precision is...

We investigate whether neural networks are appropriate tools for selecting between prominent social choice functions. We find that neural networks can learn the unanimity principle and the Pareto property. Building on these two positive results, we train neural networks on the set of profiles...

We show that optimal partisan districting in the plane with geographical constraints is an NP-complete problem.

We collect data about 172 countries: their parliaments, level of corruption, perceptions of corruption of parliament and political parties. We find weak empirical evidence supporting the conclusion that corruption increases as the number of parties increases. To provide a theoretical explanation...