Innovation in Data Visualisation for Public Policy Making

Raineri, Paolo; Molinari, Francesco

doi:10.1007/978-3-030-63693-7_4

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…data-driven: the need to anchor key policy-making decisions with the support of empirical insights from quality data of optimal quantity and diversity [ 61 , 62 , 63 , 64 , 99 , 100 , 101 , 102 ];…”

Section: Resultsmentioning

confidence: 99%

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Rigorous Policy-Making Amid COVID-19 and Beyond: Literature Review and Critical Insights

2021

IJERPH

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Policies shape society. Public health policies are of particular importance, as they often dictate matters in life and death. Accumulating evidence indicates that good-intentioned COVID-19 policies, such as shelter-in-place measures, can often result in unintended consequences among vulnerable populations such as nursing home residents and domestic violence victims. Thus, to shed light on the issue, this study aimed to identify policy-making processes that have the potential of developing policies that could induce optimal desirable outcomes with limited to no unintended consequences amid the pandemic and beyond. Methods: A literature review was conducted in PubMed, PsycINFO, and Scopus to answer the research question. To better structure the review and the subsequent analysis, theoretical frameworks such as the social ecological model were adopted to guide the process. Results: The findings suggested that: (1) people-centered; (2) artificial intelligence (AI)-powered; (3) data-driven, and (4) supervision-enhanced policy-making processes could help society develop policies that have the potential to yield desirable outcomes with limited unintended consequences. To leverage these strategies’ interconnectedness, the people-centered, AI-powered, data-driven, and supervision-enhanced (PADS) model of policy making was subsequently developed. Conclusions: The PADS model can develop policies that have the potential to induce optimal outcomes and limit or eliminate unintended consequences amid COVID-19 and beyond. Rather than serving as a definitive answer to problematic COVID-19 policy-making practices, the PADS model could be best understood as one of many promising frameworks that could bring the pandemic policy-making process more in line with the interests of societies at large; in other words, more cost-effectively, and consistently anti-COVID and pro-human.

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Section: Resultsmentioning

confidence: 99%

“…Data-driven entails the need to anchor key policy-making decisions upon the support of empirical evidence abstracted from quality data of great quantity and diversity [ 99 , 100 , 101 , 102 ]. Data-driven can refer to either big data analytics or data analyses based on smaller-scale databases.…”

Section: Discussionmentioning

confidence: 99%

Rigorous Policy-Making Amid COVID-19 and Beyond: Literature Review and Critical Insights

2021

IJERPH

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“…There is a consensus on why inclusive decisionmaking is necessary, but still a lack of methodology on the "How to." Based on the results of an online survey of more than 50 data scientists from all over the world, Raineri and Molinari (2021) highlight citizen science, design thinking, and accountability as triggers of civic engagement and participation that can bring a community of "knowledge intermediaries" into the daily discussion on datasupported policymaking.…”

Section: Empowerment and Opinion Formationmentioning

confidence: 99%

Diversity and Inclusion in Japan

Alcantara¹,

Shinohara²

2022

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Alcantara, Shinohara, and their contributors evaluate the current state of diversity and inclusion (D&I) within business and higher education in Japan, and the importance of D&I to the growth of Japan's economy and the enrichment of its society.Japan is widely understood to be a homogenous and patriarchal society, and while this is changing and was never wholly accurate, it certainly faces challenges in becoming more diverse and inclusive, particularly in its business and higher educational cultures. Grounded in research and offering best practices, the chapters in this book analyze critical issues relating to D&I in Japan at the individual, organizational, and industry levels. They present both a longitudinal analysis of the evolution and performance outcomes of D&I policies in Japanese corporations across industries, and rich studies of different underrepresented groups in Japan. These groups include immigrants, women, and people with disabilities. The contributors prescribe policies for promoting D&I in higher education, within businesses, and at the governmental level.This book is an essential contribution to D&I discourse in the Japanese context that will be of great value to scholars of Japanese society and business, and an important extended case study for those looking at D&I more widely.

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“…It is a useful tool because 'the human visual system is a pattern seeker of enormous power and subtlety' (Ware 2021, xiv). The importance of data visualisation is recognised in fields such as business and finance (Solis 2019), medicine and healthcare (Park et al 2022), journalism and media (Engebretsen 2020), public policy (Raineri and Molinari 2021) and environmental planning (Metze 2020). Accordingly, visualisation literacy has been described as 'essential to support cognition and evolve toward a more informed society' (Firat et al 2022, 99).…”

Section: Introductionmentioning

confidence: 99%

Podučavanje vizualizacije podataka i osnovnih vještina izrade karata na Liberal Arts Collegeu

Gastner

2023

Kartogr. geoinf. (Online)

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Communicating data has become vital in an increasingly data-dependent society. Because data are often communicated graphically, many colleges and universities are offering courses that teach the principles of data visualisation. In this article, the author reflects on his experience of teaching such a course at a liberal arts college. The course introduced students to the tidyverse suite of packages for the programming language R, including the data visualisation package ggplot2, which implements Wilkinson’s (2005) ‘grammar of graphics’. The packages sf and tmap were used to extend the capabilities of the tidyverse packages for analysing geospatial data and producing thematic maps. This article provides insights into effective teaching strategies, including intended learning outcomes, the core syllabus, pedagogy and assessment. Sample tasks and visualisations are also presented to demonstrate how essential cartographic skills were imparted to students.

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Innovation in Data Visualisation for Public Policy Making

Cited by 6 publications

References 18 publications

Rigorous Policy-Making Amid COVID-19 and Beyond: Literature Review and Critical Insights

Rigorous Policy-Making Amid COVID-19 and Beyond: Literature Review and Critical Insights

Diversity and Inclusion in Japan

Podučavanje vizualizacije podataka i osnovnih vještina izrade karata na Liberal Arts Collegeu

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