WHO vote upsets Western nations

United Nations General Assembly Vote Similarity Networks

We construct a network of member states of the United Nations General Assembly based on how similarly they vote on resolutions. We describe a similarity metric that we feel better describes the inter-nation relationships than previously proposed models. Next, we introduce a mechanism to infer the best diplomatic path between countries that do not have high similarity in voting. Lastly, we creat...

Who Are You Going to Vote For?

Mitigating Single Event Upsets

The Soft Error Rate (SER) is expressed as Failure-in-Time (FIT) units, defined as one soft error occurrence every billion hours of operation.Often SEUmitigation is not required because of the low chance of occurrence. However, for highly complex systems, such as with multiple high-density components, error rate may be a significant system design factor. If your system includes multiple FPGAS an...

Who Should Vote First on a Small Heterogeneous Sequential Jury?

We consider a heterogeneous jury which must decide on a verdict of A or B (such as guilty or innocent) by a sequential majority vote. Jurors have private information in the form of integer signals, where positive signals indicate A is more likely and negative signals that B is more likely. A juror’s strategy is a threshold (depending on previous voting, if any), where a juror votes A if his sig...

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