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

Escola Tècnica Superior d'Enginyeria La Salle

Producció científica: Capítol de llibre › Capítol › Avaluat per experts

1 Citació (Scopus)

Resum

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.

Idioma original	Anglès
Títol de la publicació	Implementing Data-Driven Strategies in Smart Cities
Subtítol de la publicació	A Roadmap for Urban Transformation
Editor	Elsevier
Pàgines	197-225
Nombre de pàgines	29
ISBN (electrònic)	9780128211229
ISBN (imprès)	9780128211236
DOIs	https://doi.org/10.1016/B978-0-12-821122-9.00002-6
Estat de la publicació	Publicada - 1 de gen. 2021

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

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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.",

keywords = "Administrative data, Big data, Impact evaluation, Policy evaluation, Process evaluation, Survey data",

author = "Mar{\c c}al Farr{\'e} and Federico Todeschini and Didier Grimaldi and Carlos Carrasco-Farr{\'e}",

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AU - Farré, Marçal

AU - Todeschini, Federico

AU - Grimaldi, Didier

AU - Carrasco-Farré, Carlos

PY - 2021/1/1

Y1 - 2021/1/1

N2 - 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.

AB - 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.

KW - Administrative data

KW - Big data

KW - Impact evaluation

KW - Policy evaluation

KW - Process evaluation

KW - Survey data

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SN - 9780128211236

SP - 197

EP - 225

BT - Implementing Data-Driven Strategies in Smart Cities

PB - Elsevier

ER -

Data-driven policy evaluation

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