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’’.
|Publication status||Published - 9 Sep 2014|
|Event||The Operational Research Society Annual Conference - Royal Holloway, University of London, Egham, Surrey, United Kingdom|
Duration: 9 Sep 2014 → 11 Sep 2014
Conference number: 56th
|Conference||The Operational Research Society Annual Conference|
|Period||9/09/14 → 11/09/14|
- decision support system
- policy analytics
Belton, V., Lucertini, G., Montibeller, G., & Tsoukias, A. (2014). Policy analytics: an agenda for research and practice. Paper presented at The Operational Research Society Annual Conference, Egham, Surrey, United Kingdom.