Data-driven policy evaluation

Marçal Farré; Federico Todeschini; Didier Grimaldi; Carlos Carrasco-Farré

doi:10.1016/B978-0-12-821122-9.00002-6

Data-driven policy evaluation

Marçal Farré
, Federico Todeschini
, Didier Grimaldi
, Carlos Carrasco-Farré

La Salle Digital Engineering School

Research output: Book chapter › Chapter › peer-review

1 Citation (Scopus)

Abstract

Public policies should be designed and implemented, whenever possible, using evidence as rigorous as possible. Urban interventions then should be no exception. In recent times, we have witnessed increasing efforts to transform information into knowledge, and thus help policymakers make better decisions. In this chapter, we will explore how public policy evaluation helps municipal governments tackle social problems and how big data can improve the design and implementation of more effective, efficient, and transparent policies.

Original language	English
Title of host publication	Implementing Data-Driven Strategies in Smart Cities
Subtitle of host publication	A Roadmap for Urban Transformation
Publisher	Elsevier
Pages	197-225
Number of pages	29
ISBN (Electronic)	9780128211229
ISBN (Print)	9780128211236
DOIs	https://doi.org/10.1016/B978-0-12-821122-9.00002-6
Publication status	Published - 1 Jan 2021

Keywords

Administrative data
Big data
Impact evaluation
Policy evaluation
Process evaluation
Survey data

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10.1016/B978-0-12-821122-9.00002-6

Cite this

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AU - Grimaldi, Didier

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KW - Administrative data

KW - Big data

KW - Impact evaluation

KW - Policy evaluation

KW - Process evaluation

KW - Survey data

UR - https://www.scopus.com/pages/publications/85137551224

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EP - 225

BT - Implementing Data-Driven Strategies in Smart Cities

PB - Elsevier

ER -

Data-driven policy evaluation

Abstract

Keywords

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