Policy Analytics: An Agenda for Research and Practice

Alexis Tsoukiàs (1) , Gilberto Montibeller (2) , Giulia Lucertini (1) , Valérie Belton (3)

1 LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision
2 LSE - London School of Economics and Political Science
3 Department of Management Science [Univ Strathclyde]

In recent years the field of decision analysis has been heavily influenced by the "analytics'' perspective, which integrates advanced data-mining and learning methods, often associated with increasing access to "Big-Data", with decision support systems. This rapidly growing and very successful field of Analytics has been strongly business-oriented since its origin and is typically focussed on data-driven decision processes. In public decisions, however, issues such as individual and social values, culture and public engagement play a much bigger role and, to a large extent, characterise the policy cycle of design, testing, implementation, evaluation and review. From this perspective 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 "Business Analytics".

Mots clés: Analytics; policy analysis; decision analysis; policy cycle; decision support

Domaines: Gestion et management; Recherche opérationnelle [math.OC]; Science politique; Architecture, aménagement de l'espace; Intelligence artificielle [cs.AI]

Alexis Tsoukiàs, Gilberto Montibeller, Giulia Lucertini, Valérie Belton. Policy Analytics: An Agenda for Research and Practice. 2013. ⟨hal-00874307⟩