Saskatchewan Police Predictive Analytics Lab Missing Persons Project – Year One

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Authors
  1. Stockdale, K.
Corporate Authors
Defence Research and Development Canada, Centre for Security Science, Ottawa ON (CAN);Saskatoon Police Service, Saskatoon (SASK), CAN
Abstract
This contract report depicts highlights of the first year of activities in a data analytics project funded by Canadian Safety and Security Program (CSSP) investment CSSP-2017-TI-2245. The Program is led by Defence Research and Development Canada’s Centre for Security Science (CSS), in partnership with Public Safety Canada. This investment complements activities undertaken by the Saskatchewan Police Predictive Analytics Lab (SPPAL) which was established through a partnership between the Saskatchewan Ministry of Justice; Corrections and Policing (MOJ), the University of Saskatchewan (U of S), and the Saskatoon Police Service (SPS) in 2015. The science and technology depicted herein is related to the development of predictive models and applied tools for end users - police and community safety partners – intended to improve real-time investigations, decision-making, and interventions for persons reported missing in order to prevent and reduce harm to these individuals. The investment from DRDC assisted SPPAL in building the human, technical, and business expertise required to examine two interrelated foci - missing children and missing adults - simultaneously, by integrating data from multiple data sources such as: police records management systems, social services information, and social media into new decision support tools. The Canadian Safety and Security Program is a federally-funded program to strengthen Canada’s ability to anticipate, prevent/mitigate, prepare for,

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Keywords
Data Analytics;Interoperability
Report Number
DRDC-RDDC-2019-C056 — Contract Report
Date of publication
01 Mar 2019
Number of Pages
14
DSTKIM No
CA049174
CANDIS No
809812
Format(s):
Electronic Document(PDF)

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