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Full-Text Articles in Legal Writing and Research
The Digital Person: Law Enforcement & The Purchase Of Data In A Post Carpenter Age, Jay E. Town
The Digital Person: Law Enforcement & The Purchase Of Data In A Post Carpenter Age, Jay E. Town
Belmont Law Review
It once was reasonable to expect courts to rule that there is no reasonable expectation of privacy, even in the digital era, because nearly all of the information streamed from mobile devices, applications, and browsers is voluntarily shared per the terms of the platforms', websites', and applications' agreements. But then the United States Supreme Court issued its opinion in Carpenter v. United States. Scholars and jurists alike opined, to some degree of hyperbole, on the enormity of the impact this holding would have on the Fourth Amendment going forward. Defense counsel and privacy advocates regaled the case as a …
“Statistics Are Human Beings With The Tears Wiped Away”: Utilizing Data To Develop Strategies To Reduce The Number Of Native Americans Who Go Missing, Lori Mcpherson, Sarah Blazucki
“Statistics Are Human Beings With The Tears Wiped Away”: Utilizing Data To Develop Strategies To Reduce The Number Of Native Americans Who Go Missing, Lori Mcpherson, Sarah Blazucki
Seattle University Law Review
On New Year’s Eve night, 2019, sixteen-year-old Selena Shelley Faye Not Afraid attended a party in Billings, Montana, about fifty miles west of her home in Hardin, Montana, near the Crow Reservation. A junior at the local high school, she was active in her community. The party carried over until the next day, and she caught a ride back toward home with friends in a van the following afternoon. When the van stopped at an interstate rest stop, Selena got out but never made it back to the van. The friends reported her missing to the police and indicated they …
Predicting Court Cases Quantitatively, Stuart Nagel
Predicting Court Cases Quantitatively, Stuart Nagel
Michigan Law Review
This article illustrates and systematically compares three methods for quantitatively predicting case outcomes. The three methods are correlation, regression, and discriminant analysis, all of which involve standard social science research techniques. Two prior articles have generated requests for a study dealing with the problems involved in handling a larger number of cases and predictive variables. The present article is also designed to provide such a study. It does not presuppose that the reader has read the earlier articles, although such a reading might help to clarify further some of the points made here. The cases used to illustrate the methods …