Turning Data into Actionable Policy Insights

Verstraete, Jonas; Acar, Freya; Concilio, Grazia; Pucci, Paola

doi:10.1007/978-3-030-63693-7_6

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…Policymakers are already bombarded with information (Dunlop et al , 2018, p. 11); hence, the idea that they need to leverage large quantities of data seems misleading. Instead, they should be provided with insights from trusted and legitimated sources (Verstraete et al , 2021, p. 74). Accordingly, the use of non-traditional data for policymaking will have to align with the existing public bodies’ mandate and become germane to single policy context dynamics (Durrant et al , 2018; Klievink et al , 2017).…”

Section: Introduction: the Importance Of Non-traditional Data For Pol...mentioning

confidence: 99%

Data-centric public services as potential source of policy knowledge. Can “design for policy” help?

Leoni

Carraro²,

McAuliffe³

et al. 2023

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Purpose The purpose of this paper is three-fold. Firstly, through selected case studies, to provide an overview of how non-traditional data from digital public services were used as a source of knowledge for policymaking. Secondly, to argue for a design for policy approach to support the successful integration of non-traditional data into policymaking practice, thus supporting data-driven innovation for policymaking. Thirdly, to encourage a vision of the relation between data-driven innovation and public policy that considers policymaking outside the authoritative instrumental logic perspective. Design/methodology/approach A qualitative small-N case study analysis based on desk research data was developed to provide an overview of how data-centric public services could become a source of knowledge for policymaking. The analysis was based on an original theoretical-conceptual framework that merges the policy cycle model and the policy capacity framework. Findings This paper identifies three potential areas of contribution of a design for policy approach in a scenario of data-driven innovation for policymaking practice: the development of sensemaking and prefiguring activities to shape a shared rationale behind intra-/inter-organisational data sharing and data collaboratives; the realisation of collaborative experimentations for enhancing the systemic policy analytical capacity of a governing body, e.g. by integrating non-traditional data into new and trusted indicators for policy evaluation; and service design as approach for data-centric public services that connects policy decisions to the socio-technical context in which data are collected. Research limitations/implications The small-N sample (four cases) selected is not representative of a broader population but isolates exemplary initiatives. Moreover, the analysis was based on secondary sources, limiting the assessment quality of the real use of non-traditional data for policymaking. This level of empirical understanding is considered sufficient for an explorative analysis that supports the original perspective proposed here. Future research will need to collect primary data about the potential and dynamics of how data from data-centric public services can inform policymaking and substantiate the proposed areas of a design for policy contribution with practical experimentations and cases. Originality/value This paper proposes a convergence, yet largely underexplored, between the two emerging perspectives on innovation in policymaking: data for policy and design for policy. This convergence helps to address the designing of data-driven innovations for policymaking, while considering pragmatic indications of socially acceptable practices in this space for practitioners.

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Section: Introduction: the Importance Of Non-traditional Data For Pol...mentioning

confidence: 99%

Data-centric public services as potential source of policy knowledge. Can “design for policy” help?

Leoni

Carraro²,

McAuliffe³

et al. 2023

View full text Add to dashboard Cite

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“…Our findings in chapter 3 and 4 also specify how adequate different types of data are used in the sustainable urban mobility policymaking process by distinguishing the long-and short-term policy cycle. This adds to Verstraete et al (2021) who shed light on how to use data in the different steps of the policy cycle by emphasizing what approaches could be used to analyze data in each of the steps, based on both scientific literature review and practical case studies. Their work, which was part of EU project PoliVisu (https://www.polivisu.eu/) (Concilio et al, 2021), also found that limited data literacy is the key constraint to successful use of data in urban policymaking, but they did not highlight the distinct role of data in the short-and long-term policy cycle (chapter 4).…”

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confidence: 99%

The role of data in sustainable urban mobility policy

Liu

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The Data Shake: An Opportunity for Experiment-Driven Policy Making

Concilio

Pucci

2021

The Data Shake

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The wider availability of data and the growing technological advancements in data collection, management, and analysis introduce unprecedented opportunities, as well as complexity in policy making. This condition questions the very basis of the policy making process towards new interpretative models. Growing data availability, in fact, increasingly affects the way we analyse urban problems and make decisions for cities: data are a promising resource for more effective decisions, as well as for better interacting with the context where decisions are implemented. By dealing with the operative implications in the use of a growing amount of available data in policy making processes, this contribution starts discussing the chance offered by data in the design, implementation, and evaluation of a planning policy, with a critical review of the evidence-based policy making approaches; then it introduces the relevance of data in the policy design experiments and the conditions for its uses.

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Turning Data into Actionable Policy Insights

Cited by 5 publications

References 7 publications

Data-centric public services as potential source of policy knowledge. Can “design for policy” help?

Data-centric public services as potential source of policy knowledge. Can “design for policy” help?

The role of data in sustainable urban mobility policy

The Data Shake: An Opportunity for Experiment-Driven Policy Making

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