Innovation in Data Visualisation for Public Policy Making

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Abstract

In this contribution, we propose a reflection on the potential of data visualisation technologies for (informed) public policy making in a growingly complex and fast changing landscape—epitomized by the situation created after the outbreak of the Covid-19 pandemic. Based on the results of an online survey of more than 50 data scientists from all over the world, we highlight five application areas seeing the biggest needs for innovation according to the domain specialists. Our main argument is that we are facing a transformation of the business cases supporting the adoption and implementation of data visualisation methods and tools in government, which the conventional view of the value of Business Intelligence does not capture in full. Such evolution can drive a new wave of innovations that preserve (or restore) the human brain’s centrality in a decision making environment that is increasingly dominated—for good and bad—by artificial intelligence. Citizen science, design thinking, and accountability are mentioned as triggers of civic engagement and participation that can bring a community of “knowledge intermediaries” into the daily discussion on data supported policy making.

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APA

Raineri, P., & Molinari, F. (2021). Innovation in Data Visualisation for Public Policy Making. In SpringerBriefs in Applied Sciences and Technology (pp. 47–59). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-63693-7_4

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