Policy analytics: An agenda for research and practice

Alexis Tsoukias*, Gilberto Montibeller, Giulia Lucertini, Valerie Belton

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

103 Scopus citations

Abstract

The growing impact of the ‘‘analytics’’ perspective in recent years, which integrates advanced data-mining and learning methods, is often associated with increasing access to large databases and with decision support systems. Since its origin, the field of analytics has been strongly business-oriented, with a typical focus on data-driven decision processes. In public decisions, however, issues such as individual and social values, culture and public engagement are more important and, to a large extent, characterise the policy cycle of design, testing, implemen-tation, evaluation and review of public policies. Therefore public policy making seems to be a much more socially complex process than has hitherto been con-sidered by most analytics methods and applications. In this paper, we thus suggest a framework for the use of analytics in supporting the policy cycle—and conceptu-alise it as ‘‘Policy Analytics’’.

Original languageEnglish
Pages (from-to)115-134
Number of pages20
JournalEURO Journal on Decision Processes
Volume1
Issue number1-2
DOIs
StatePublished - Jun 2013
Externally publishedYes

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg and EURO-The Association of European Operational Research Societies 2013.

Keywords

  • Analytics
  • Decision analysis
  • Decision support
  • Policy analysis
  • Policy cycle

ASJC Scopus subject areas

  • General Decision Sciences
  • Statistics and Probability
  • Business, Management and Accounting (miscellaneous)
  • Computational Mathematics
  • Applied Mathematics

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