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, implementation, evaluation and review of public policies. Therefore public policy making seems to be a much more socially complex process than has hitherto been considered 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 conceptualise it as “Policy Analytics”.
Original language | English |
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Pages (from-to) | 115-134 |
Number of pages | 20 |
Journal | EURO Journal on Decision Processes |
Volume | 1 |
Issue number | 1-2 |
DOIs | |
Publication status | Published - Jun 2013 |
Keywords
- analytics
- policy analysis
- decision analysis
- policy cycle
- decision support