Data-driven anticipatory governance. Emerging scenarios in data for policy practices

@article{Maffei2020DatadrivenAG,
  title={Data-driven anticipatory governance. Emerging scenarios in data for policy practices},
  author={Stefano Maffei and Francesco Leoni and Beatrice Villari},
  journal={Policy Design and Practice},
  year={2020},
  volume={3},
  pages={123 - 134}
}
Abstract The contemporary technological advancements in information and communication technologies (ICT) enable the employment of non-traditional data sources (e.g. satellite data, sensors, cell phone networks data, social media, etc.) in different aspects of the public sphere. Datafication is changing the relationship between governments and citizens, and the way governments address policy problems. Nowadays, policy-makers are urged to harness data for policies and public service design, while… 
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References

SHOWING 1-10 OF 71 REFERENCES
A data-driven public sector
Over the last decade the Open Government Data movement has successfully highlighted the value of data and encouraged governments to open up information for reuse both inside, and outside the public
Big data for policymaking: fad or fasttrack?
The buzz surrounding big data has taken shape in various theoretical and practical forms when it comes to policymaking. The paper combines current research streams with long-standing discussions on
Data & Policy: A new venue to study and explore policy–data interaction
Every era faces a unique set of challenges and dilemmas, but ours can credibly lay claim to some of the most complex and vexing that humankind may have ever confronted. From climate change to growing
Foresight and anticipatory governance
Purpose – The purpose of this paper is to lay a theoretical basis for discussion of the ways by which organized foresight can be employed in the service of pro‐poor objectives. This is in line with
Algorithmic Government: Automating Public Services and Supporting Civil Servants in using Data Science Technologies
TLDR
This review paper uses the simple taxonomy of government services to provide an overview of data science automation being deployed by governments world-wide and encourages the Computer Science community to engage with government to develop these new systems to transform public services and support the work of civil servants.
Public Policy Considerations for Data-Driven Innovation
TLDR
The proposed framework for policy discussions examines three main areas of policy interest: privacy and security, ownership and transfer, and infrastructure and data civics.
Anticipatory Governance: Traditions and Trajectories for Strategic Design
Over the course of the last half century, a number of practices were developed that connect foresight with governance. From the early development of technological forecasting and anticipatory
A new roadmap for next-generation policy-making
TLDR
The project CROSSOVER is elaborating a demand/driven "International Research Roadmap on ICT tools for Governance and Policy Modelling", which links the needs and the activities of policy-making with current and future research challenges.
Big Data for Policy Analysis: The Good, The Bad, and The Ugly
Big data holds tremendous potential for public policy analysis. At the same time, its use prompts a number of issues related to statistical bias, privacy, equity, and governance, among others.
Digital education governance: data visualization, predictive analytics, and ‘real-time’ policy instruments
TLDR
The landscape of digital policy instrumentation in education is surveyed and maps and two detailed case studies of new digital data systems are provided, including ‘learning analytics’ platforms that enable the tracking and predicting of students’ performances through their digital data traces.
...
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