abstract: Indian water rights and Indian water settlements have emerged as a means for resolving long-standing despites and water rights claims. Working with and understanding water rights demands a genuine knowledge of water issues that are specific to each indigenous community as there are cultural aspects and perspectives towards water that are involved. The Gila River Indian Community is an indigenous community in south central Arizona, whose cultural and historic origins span over two millennia. Their foundation as a people was tied to the presence of the Gila and Salt Rivers, from which they freely diverted its waters through hundreds of miles of hand-dug canals, to transform the Sonoran desert into a desert oasis. There is a historical progression of this Community's water rights from when water was abundant to the time it was scarce, leading to an outright denial of a livelihood where water and farming was central to their way of life. A water rights settlement was an option that was pursued because it offered a chance for the Community to see the return of their water. The 2004 Gila River Indian Community Water Rights Settlement has been recognized as the largest Indian water rights settlement in United States history and serves as a model for future water settlements. The success of Indian water settlements in the United States has the potential, under the right political and legal conditions, to be replicated in other areas of the world where water resources are under dispute and water rights have come into conflict between indigenous and non-indigenous users. / Dissertation/Thesis / M.A. Social Justice and Human Rights 2012

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The practice of sequential testing is followed by the evaluation of accuracy, but often not by the evaluation of cost. This research described and compared three sequential testing strategies: believe the negative (BN), believe the positive (BP) and believe the extreme (BE), the latter being a less-examined strategy. All three strategies were used to combine results of two medical tests to diagnose a disease or medical condition. Descriptions of these strategies were provided in terms of accuracy (using the maximum receiver operating curve or MROC) and cost of testing (defined as the proportion of subjects who need 2 tests to diagnose disease), with the goal to minimize the number of tests needed for each subject while maintaining test accuracy. It was shown that the cost of the test sequence could be reduced without sacrificing accuracy beyond an acceptable range by setting an acceptable tolerance (q) on maximum test sensitivity. This research introduced a newly-developed ROC curve reflecting this reduced sensitivity and cost of testing called the Minimum Cost Maximum Receiver Operating Characteristic (MCMROC) curve. Within these strategies, four different parameters that could influence the performance of the combined tests were examined: the area under the curve (AUC) of each individual test, the ratio of standard deviations (b) from assumed underlying disease and non-disease populations, correlation (rho) between underlying disease populations, and disease prevalence. The following patterns were noted: Under all parameter settings, the MROC curve of the BE strategy never performed worse than the BN and BP strategies, and it most frequently had the lowest cost. The parameters tended to have less of an effect on the MROC and MCMROC curves than they had on the cost curves, which were affected greatly. The AUC values and the ratio of standard deviations both had a greater effect on cost curves, MROC curves, and MCMROC curves than prevalence and correlation. The use of BMI and plasma glucose concentration to diagnose diabetes in Pima Indians was presented as an example of a real-world application of these strategies. It was found that the BN and BE strategies were the most consistently accurate and least expensive choice.