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Policy Analysis in Canada$
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Laurent Dobuzinskis and Michael Howlett

Print publication date: 2018

Print ISBN-13: 9781447334910

Published to Policy Press Scholarship Online: January 2019

DOI: 10.1332/policypress/9781447334910.001.0001

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PRINTED FROM POLICY PRESS SCHOLARSHIP ONLINE (www.policypress.universitypressscholarship.com). (c) Copyright Policy Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in PPSO for personal use.date: 14 June 2021

From policy analysis to policy analytics

From policy analysis to policy analytics

Chapter:
(p.369) Eighteen From policy analysis to policy analytics
Source:
Policy Analysis in Canada
Author(s):

Justin Longo

Kathleen McNutt

Publisher:
Policy Press
DOI:10.1332/policypress/9781447334910.003.0018

Policy analysis relies on data collected at discrete intervals along the policy cycle, from problem identification through evaluation. Policy analytics, in contrast, represents the combination of new, ubiquitous, and continuous data sources—from Internet search and social media to mobile smartphones, Internet of Everything (IoE) devices, and electronic transaction cards—with new data analytics techniques for informing and directing policy choices. New technology platforms also offer the possibility of small-scale policy experiments that can be piloted with their effects precisely observed in real-time. This big data + analytics + real-time experiments approach offers a significant change to the traditional practice of policy analysis. This chapter describes the movement from policy analysis to policy analytics, discusses emergent examples and potential applications, and concludes with questions that can guide the appropriate adoption of policy analytics for supporting policymaking.

Keywords:   policy analysis, policy analytics, big data, data analytics, policy experiments

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