عنوان انگلیسی مقاله:
Data science in the design of public policies: dispelling the obscurity in matching policy demand and data offer
ترجمه فارسی عنوان مقاله:
علم داده در طراحی سیاست های عمومی: رفع ابهام در تطبیق تقاضای سیاست و پیشنهاد داده
Sciencedirect - Elsevier - Heliyon, 6 (2017) e04300: doi:10:1016/j:heliyon:2020:e04300
Data Science (DS) is expected to deliver value for public governance. In a number of studies, strong claims have been made about the potential of big data and data analytics and there are now several cases showing their application in areas such as service delivery and organizational administration. The role of DS in policy-making has, on the contrary, still been explored only marginally, but it is clear that there is the need for greater investigation because of its greater complexity and its distinctive inter-organizational boundaries. In this paper, we have investigated how DS can contribute to the policy deﬁnition process, endorsing a socio-technical perspective. This exploration has addressed the technical elements of DS - data and processes - as well as the social aspects surrounding the actors’ interaction within the deﬁnition process. Three action research cases are presented in the paper, lifting the veil of obscurity from how DS can support policy-making in practice. The ﬁndings highlight the importance of a new role, here deﬁned as that of a translator, who can provide clarity and understanding of policy needs, assess whether data-driven results ﬁt the legislative setting to be addressed, and become the junction point between data scientists and policy-makers. The three cases and their different achievements make it possible to draw attention to the enabling and inhibiting factors in the application of DS.
Keywords: Data science | Policy | Big data | Framing | Knowledge management | Information systems management | Information management | Human resource management | Business management | Strategic management | Risk management | Information science | Business