Books & Articles
Data Analysis and Related Applications, Volume 2 by ISBN: 9781786307729Publication Date: 2022-11-01The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering. This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data analysis and related applications. The chapters of this collaborative work represent a cross-section of current concerns, developments and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with related applications.
Demographic Analysis by ISBN: 1839691875Publication Date: 2021-11-03Demographic Analysis - Selected Concepts, Tools, and Applications presents basic definitions, practical techniques, and methods, as well as examples of studies based on the usage of demographic analysis in various institutions and economic entities. The volume covers studies related to population distribution, urbanization, migration, population change and dynamics, aging, longevity, population theories, and population projections. It is an asset to academic and professional communities interested in advancing knowledge on diverse populations in various contexts such as public policies, public services, education, and labor markets. The book aims to help students of demography as well as practitioners of other fields of social sciences and people in government, business, and nonprofit organizations.
Demographics Unravelled by ISBN: 9781119799139Publication Date: 2021-12-28Discover what demographics can tell us about the economy, markets, and the future In Demographics Unravelled, renowned Macro-Demographics expert Amlan Roy delivers an insightful and timely exploration of the impact that "people characteristics" have on national economies. Considering factors like gender, race, migrant status, family background, and education, the author delves deeply into a subject that drives market behavior and economic variables, including growth, debt, inflation, employment, and productivity. These have national and international policy implications. In this one-of-a-kind book, you'll discover: Why the study of demographics is the hidden key to understanding economic growth, asset prices, and capital flows How to use detailed demographics to forecast future scenarios in economics, socioeconomics, geopolitics, and the environment The short-, medium-, and long-term effects of consumer and worker behavior How understanding demographics is key to understanding health, pensions, migration, sustainability and social policies. It is intimately linked to the Sustainable Development Goals of the UN--Gender, Climate, Poverty and Inequality Perfect for institutional investors, insurance professionals, economists, and business leaders, Demographics Unravelled will also earn a place in the libraries of academics and students studying a variety of economic disciplines and seeking a one-stop and in-depth discussion of demographics-driven macroeconomic effects.
Open Data in Developing Economies Toward Building an Evidence Base on What Works and How by ISBN: 1928331602Publication Date: 2017Recent years have witnessed considerable speculation about the potential of open data to bring about wide-scale transformation. The bulk of existing evidence about the impact of open data, however, focuses on high-income countries. Much less is known about open data's role and value in low- and middle-income countries, and more generally about its possible contributions to economic and social development. Open Data for Developing Economies features in-depth case studies on how open data is having an impact across the developing world-from an agriculture initiative in Colombia to data-driven healthcare projects in Uganda and South Africa to crisis response in Nepal. The analysis built on these case studies aims to create actionable intelligence regarding: (a) the conditions under which open data is most (and least) effective in development, presented in the form of a Periodic Table of Open Data; (b) strategies to maximize the positive contributions of open data to development; and (c) the means for limiting open data's harms on developing countries.
Data Science and Knowledge Discovery by ISBN: 3036543163Publication Date: 2022Data Science (DS) is gaining significant importance in the decision process due to a mix of various areas, including Computer Science, Machine Learning, Math and Statistics, domain/business knowledge, software development, and traditional research. In the business field, DS's application allows using scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data to support the decision process. After collecting the data, it is crucial to discover the knowledge. In this step, Knowledge Discovery (KD) tasks are used to create knowledge from structured and unstructured sources (e.g., text, data, and images). The output needs to be in a readable and interpretable format. It must represent knowledge in a manner that facilitates inferencing. KD is applied in several areas, such as education, health, accounting, energy, and public administration. This book includes fourteen excellent articles which discuss this trending topic and present innovative solutions to show the importance of Data Science and Knowledge Discovery to researchers, managers, industry, society, and other communities. The chapters address several topics like Data mining, Deep Learning, Data Visualization and Analytics, Semantic data, Geospatial and Spatio-Temporal Data, Data Augmentation and Text Mining.
- Smarter Open Government Data for Society 5.0: Are Your Open Data Smart Enough?Author: Nikiforova, Anastasija
Published: 2021
Nowadays, governments launch open government data (OGD) portals that provide data that can be accessed and used by everyone for their own needs. Although the potential economic value of open (government) data is assessed in millions and billions, not all open data are reused. Moreover, the open (government) data initiative as well as users’ intent for open (government) data are changing continuously and today, in line with IoT and smart city trends, real-time data and sensor-generated data have higher interest for users. These “smarter” open (government) data are also considered to be one of the crucial drivers for the sustainable economy, and might have an impact on information and communication technology (ICT) innovation and become a creativity bridge in developing a new ecosystem in Industry 4.0 and Society 5.0. The paper inspects OGD portals of 60 countries in order to understand the correspondence of their content to the Society 5.0 expectations. The paper provides a report on how much countries provide these data, focusing on some open (government) data success facilitating factors for both the portal in general and data sets of interest in particular. The presence of “smarter” data, their level of accessibility, availability, currency and timeliness, as well as support for users, are analyzed. The list of most competitive countries by data category are provided. This makes it possible to understand which OGD portals react to users’ needs, Industry 4.0 and Society 5.0 request the opening and updating of data for their further potential reuse, which is essential in the digital data-driven world. - The relationship between open data initiatives, privacy, and government transparency: a love triangle?Author: Jaatinen, Tanja
Published: 2016
Key Points Re-use of public sector information ('PSI') has proved to be a promising means of boosting economic growth and effectiveness, and it has led governments to implement open data initiatives all over the world. The PSI Directive, as amended, promotes the re-use of PSI in EU member states but leaves national open data initiatives subject to local access to information laws and Directive 95/46/EC. Given that 'open data' and 'transparency' stem from distinct incentives and rationales as well as the fact that not all public data can be open, the concepts should not be perceived as synonyms for each other. However, open data initiatives' dependence on access to information legislation alongside the fundamental differences in member states' transparency frameworks leads to a situation where the member states having a strong transparency doctrine in place are more vulnerable to the possible privacy-harming consequences of open data. It is concluded that the differences between national access to information regimes need to be taken into account when implementing national open data initiatives and assessing related data privacy aspects and, consequently, Article 80aa of the GDPR proposed by the Council should not be adopted. - Open Government Data Programs and Information Privacy Concerns: A Literature ReviewAuthor: Barati, Mehdi
Published: 2023
This study presents a narrative review of the literature on privacy concerns of Open Government Data (OGD) programs and identifies suggested technical, procedural, and legal remedies. Peer-reviewed articles were identified and analysed from major bibliographic databases, including Web of Science, Digital ACM Library, IEEE Explore Digital Library, and Science Direct. Included articles focus on identifying individual information privacy concerns from the viewpoint of OGD stakeholders or providing solutions for mitigating concerns and risks. Papers that discussed and focused on general privacy issues or privacy concerns of open data in general or open science privacy concerns were excluded. Three streams of research were identified: 1) exploring privacy concerns and balance with OGD value propositions, 2) proposing solutions for mitigating privacy concerns, and 3) developing risk-based frameworks for the OGD program at different governmental levels. Findings suggest that contradictions with Fair Information Practices, reidentification risks, conflicts with OGD value propositions, and smart city data practices are significant privacy concerns in the literature. Proposed solutions include technical, legal, and procedural measures to mitigate privacy concerns. Building on the findings, practical implications and suggested future research directions are provided. - The Missing COVID-19 Demographic Data: A Statewide Analysis of COVID-19–Related Demographic Data From Local Government Sources and a Comparison With Federal Public Surveillance DataAuthors: Aliseda-Alonso, Angel ; Lis, Sara Bertran de ; Lee, Adam ; Pond, Emily N. ; Blauer, Beth ; Rutkow, Lainie ; Nuzzo, Jennifer B.
Published: 2022
Results: As of June 2021, the CDC's public demographic data set included 80.9% of total cases and 46.7% of total deaths reported by states, with significant variation across jurisdictions. Relative to state and territorial data sources, the CDC consistently underreports cases and deaths among African American and Hispanic or Latino individuals and overreports deaths among people older than 65 years and White individuals.
Conclusions: Differences exist in amounts of data included and demographic composition between the CDC's public surveillance data and state and territory reporting, with large heterogeneity across jurisdictions. A lack of standardization and reporting mechanisms limits the production of complete realtime demographic data. - Citizen engagement with open government data: Lessons learned from Indonesia’s presidential electionAuthor: Purwanto, Arie ; Zuiderwijk, Anneke ; Janssen, Marijn
Published: 2020
Purpose Citizen engagement is key to the success of many Open Government Data (OGD) initiatives. However, not much is known regarding how this type of engagement emerges. This study aims to investigate the necessary conditions for the emergence of citizen-led engagement with OGD and to identify which factors stimulate this type of engagement. - Barriers to innovating with open government data: Exploring experiences across service phases and user typesAuthors: Smith, Göran ; Sandberg, Johan
Published: 2018
Open government data (OGD) can enable outbound open innovation (OI) that is beneficial to society. However, innovation barriers hinder OGD users from generating value. While previous studies have detailed a large number of such barriers, little is known of how different types of OGD users are affected, and when the barriers appear in their innovation processes. To this end, this paper describes a case study of distributed service development in the Swedish public transport sector. The contribution to extant research is twofold. Firstly, based on an inductive analysis, three OGD user archetypes are proposed: employees, entrepreneurs and hobbyists. Secondly, the study finds that the significance of distinct innovation barriers varies across phases of the services’ lifecycles and depending on the OGD users’ motivation, objective, pre-conditions and approach. Drawing on these insights, we propose that OGD initiatives aimed at facilitating outbound OI to a greater extent should address the barriers that appear during diffusion of innovations, the barriers that are not directly related to the OGD provision, and the barriers that are experienced by non-obvious OGD user groups. - Why Counting Black Lives Matters — The 2020 CensusAuthor: Schuster, Mark A ; Osherov, Artem ; Chung, Paul J
Publisher: The New England journal of medicine
Published: 2020
"A confluence of events has substantially increased the likelihood of undercounts of non-White populations in the U.S. census, at a time when such undercounts might be particularly damaging to urgent societal efforts in the coming decade to improve racial and ethnic equity."
