From evidence-based policy making to policy analytics

Giada de Marchi (1) , Giulia Lucertini (2) , Alexis Tsoukias (2)

1 UNISS - Università degli Studi di Sassari = University of Sassari [Sassari]
2 LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision

This paper aims at addressing the problem of what characterises decisionaiding for public policy making problem situations. Under such a perspective it analyses concepts like "public policy", "deliberation", "legitimation", "accountability" and shows the need to expand the concept of rationality which is expected to support the acceptability of a public policy. We then analyse the more recent attempt to construct a rational support for policy making, the "evidence-based policy making" approach. Despite the innovation introduced with this approach, we show that it basically fails to address the deep reasons why supporting the design, implementation and assessment of public policies is such a hard problem. We finally show that we need to move one step ahead, specialising decision-aiding to meet the policy cycle requirements: a need for policy analytics.

Mots clés: Public Policy; Policy cycle; Evidence-Based; Decision Aiding; Policy Analytics

Domaines: Recherche opérationnelle [math.OC]

Giada de Marchi, Giulia Lucertini, Alexis Tsoukias. From evidence-based policy making to policy analytics. Annals of Operations Research, 2016, 236 (1), pp.15-38. ⟨10.1007/s10479-014-1578-6⟩. ⟨hal-02787736v2⟩