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Innovation in Data Visualisation for Public Policy Making
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933940/ http://dx.doi.org/10.1007/978-3-030-63693-7_4 |
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author | Raineri, Paolo Molinari, Francesco |
author_facet | Raineri, Paolo Molinari, Francesco |
author_sort | Raineri, Paolo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7933940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-79339402021-03-05 Innovation in Data Visualisation for Public Policy Making Raineri, Paolo Molinari, Francesco The Data Shake Article 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. 2020-11-02 /pmc/articles/PMC7933940/ http://dx.doi.org/10.1007/978-3-030-63693-7_4 Text en © The Author(s) 2021 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
spellingShingle | Article Raineri, Paolo Molinari, Francesco Innovation in Data Visualisation for Public Policy Making |
title | Innovation in Data Visualisation for Public Policy Making |
title_full | Innovation in Data Visualisation for Public Policy Making |
title_fullStr | Innovation in Data Visualisation for Public Policy Making |
title_full_unstemmed | Innovation in Data Visualisation for Public Policy Making |
title_short | Innovation in Data Visualisation for Public Policy Making |
title_sort | innovation in data visualisation for public policy making |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933940/ http://dx.doi.org/10.1007/978-3-030-63693-7_4 |
work_keys_str_mv | AT raineripaolo innovationindatavisualisationforpublicpolicymaking AT molinarifrancesco innovationindatavisualisationforpublicpolicymaking |