Defining Project Objectives

Author(s):  
Kai R. Larsen ◽  
Daniel S. Becker

This section covers the first steps of a the Machine Learning Life Cycle Model; how to specify a business problem, acquire subject matter expertise, define prediction target, define unit of analysis, identify success criteria, evaluate risks, and finally, decide whether to continue a project. Focus is on who will use the model, whether management is supportive, whether the drivers of the model can be visualized, and how much value a model can produce.

Author(s):  
Tim Newburn

This review explores those varied bodies of work that have sought to understand crowd behavior and violent crowd conduct in particular. Although the study of such collective conduct was once considered central to social science, this has long ceased to be the case and in many respects the study of protest and riot now receives relatively little attention, especially within criminology. In addition to offering a critical overview of work in this field, this review argues in favor of an expanded conception of its subject matter. In recent times, scholarly concern has increasingly been focused on questions of etiology, i.e., asking how and why events such as riots occur, with the consequence that less attention is paid to other, arguably equally important questions, including how riots spread, how they end, and, critically, what happens in their aftermath. Accordingly, as a corrective, the review proposes a life-cycle model of riots. Expected final online publication date for the Annual Review of Criminology, Volume 4 is January 13, 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2020 ◽  
Author(s):  
Oleg Malafeyev ◽  
Irina Zaitseva ◽  
Sergey Sychev ◽  
Gennady Badin ◽  
Ilya Pavlov ◽  
...  

2001 ◽  
Vol 38 (1) ◽  
pp. 16-19 ◽  
Author(s):  
Betty E. Steffy ◽  
Michael P. Wolfe

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