Political scientists have shown that one can anticipate how a judge will decide a case more often than chance, or a reading of the facts, might allow by using various predictors such as party affiliation, gender, or the judge’s own decisions on earlier similar cases. The simplest explanation for such behavior is that judges first decide what they want the outcome of the case to be, then go back...

This pilot study examined the overall job satisfaction of Massachusetts judges, and additionally addressed these judges’ views of what might serve to increase their job satisfaction. Results indicated that these judges were highly satisfied with their jobs, and that they viewed increased pay as the most important contributor to increased job satisfaction, followed by improvements in professiona...

The conventional wisdom among many legal scholars is that judicial independence can best be achieved with an appointive judiciary; judicial elections turn judges into politicians, threatening judicial autonomy. Yet the original supporters of judicial elections successfully eliminated the appointive systems of many states by arguing that judges who owed their jobs to politicians could never be t...

Modern institutions face the recurring dilemma of designing accurate evaluation procedures in settings as diverse as academic selection committees, social policies, elections, and figure skating competitions. In particular, it is essential to determine both the number of evaluators and the method for combining their judgments. Previous work has focused on the latter issue, uncovering paradoxes ...

In this paper we designed and implemented a new ensemble of classifiers based on a sequence of classifiers which were specialized in regions of the training dataset where errors of its trained homologous are concentrated. In order to separate this regions, and to determine the aptitude of each classifier to properly respond to a new case, it was used another set of classifiers built hierarchica...

Probability forecasts in complex environments can benefit from combining the estimates of large groups of forecasters (“judges”). But aggregating multiple opinions faces several challenges. First, human judges are notoriously incoherent when their forecasts involve logically complex events. Second, individual judges may have specialized knowledge, so different judges may produce forecasts for d...