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Full-Text Articles in Law
Innovative Approaches To Diversion Data, Sean Flynn, Robin Olsen, Maggie Wolk
Innovative Approaches To Diversion Data, Sean Flynn, Robin Olsen, Maggie Wolk
Articles in Law Reviews & Other Academic Journals
Prosecutors across the country are collecting and using data to make decisions in their offices. At the same time, prosecutors are interested in developing and sustaining prosecutorial diversion approaches. Prosecutors can use data to assist in decision-making regarding diversion case processing choices as well as to make office policy and resource allocation decisions that, in turn, support expanded diversion programs. Data collection can help prosecutors decide if a prosecutorial diversion program will work for them, and if so, what characteristics it should have. Finally, data can help prosecutors see whether they are obtaining their intended outcomes. Prosecutors possess varying levels …
User-Generated Evidence, Rebecca Hamilton
User-Generated Evidence, Rebecca Hamilton
Articles in Law Reviews & Other Academic Journals
Around the world, people are using their smartphones to document atrocities. This Article is the first to address the implications of this important development for international criminal law. While acknowledging the potential benefits such user-generated evidence could have for international criminal investigations, the Article identifies three categories of concern related to its use: (i) user security; (ii) evidentiary bias; and (iii) fair trial rights. In the absence of safeguards, user-generated evidence may address current problems in international criminal justice at the cost of creating new ones and shifting existing problems from traditional actors, who have institutional backing, to individual users …
Big Data And Predictive Reasonable Suspicion, Andrew Ferguson
Big Data And Predictive Reasonable Suspicion, Andrew Ferguson
Articles in Law Reviews & Other Academic Journals
The Fourth Amendment requires “reasonable suspicion” to seize a suspect. As a general matter, the suspicion derives from information a police officer observes or knows. It is individualized to a particular person at a particular place. Most reasonable suspicion cases involve police confronting unknown suspects engaged in observable suspicious activities. Essentially, the reasonable suspicion doctrine is based on “small data” – discrete facts involving limited information and little knowledge about the suspect.But what if this small data is replaced by “big data”? What if police can “know” about the suspect through new networked information sources? Or, what if predictive analytics …