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Statistics, New Empiricism and Society in the Era of Big Data

Statistics, New Empiricism and Society in the Era of Big Data
Author: Giuseppe Arbia
Publisher:
Total Pages: 0
Release: 2021
Genre:
ISBN: 9783030730314

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This book reveals the myriad aspects of Big Data collection and analysis, by defining and clarifying the meaning of Big Data and its unique characteristics in a non-technical and easy-to-follow way. Moreover, it discusses critical issues and problems related to the Big Data revolution and their implications for both Statistics as a discipline and for our everyday lives. The author identifies various problems and limitations in the quantitative analysis of Big Data, with regard to e.g. its volume, velocity and variety, as well as its reliability and veridicity. Dedicated chapters focus on the epistemological aspects of data-based knowledge and ethical aspects of the use of Big Data, while also addressing paradigmatic cases such as Cambridge Analytica and the use of data from social networks to influence election outcomes.


Statistics, New Empiricism and Society in the Era of Big Data

Statistics, New Empiricism and Society in the Era of Big Data
Author: Giuseppe Arbia
Publisher: Springer Nature
Total Pages: 54
Release: 2021-04-20
Genre: Business & Economics
ISBN: 3030730301

Download Statistics, New Empiricism and Society in the Era of Big Data Book in PDF, ePub and Kindle

This book reveals the myriad aspects of Big Data collection and analysis, by defining and clarifying the meaning of Big Data and its unique characteristics in a non-technical and easy-to-follow way. Moreover, it discusses critical issues and problems related to the Big Data revolution and their implications for both Statistics as a discipline and for our everyday lives. The author identifies various problems and limitations in the quantitative analysis of Big Data, with regard to e.g. its volume, velocity and variety, as well as its reliability and veridicity. Dedicated chapters focus on the epistemological aspects of data-based knowledge and ethical aspects of the use of Big Data, while also addressing paradigmatic cases such as Cambridge Analytica and the use of data from social networks to influence election outcomes.


Statistics, New Empiricism and Society in the Era of Big Data

Statistics, New Empiricism and Society in the Era of Big Data
Author: Giuseppe Arbia
Publisher: Springer
Total Pages: 54
Release: 2021-04-21
Genre: Business & Economics
ISBN: 9783030730291

Download Statistics, New Empiricism and Society in the Era of Big Data Book in PDF, ePub and Kindle

This book reveals the myriad aspects of Big Data collection and analysis, by defining and clarifying the meaning of Big Data and its unique characteristics in a non-technical and easy-to-follow way. Moreover, it discusses critical issues and problems related to the Big Data revolution and their implications for both Statistics as a discipline and for our everyday lives. The author identifies various problems and limitations in the quantitative analysis of Big Data, with regard to e.g. its volume, velocity and variety, as well as its reliability and veridicity. Dedicated chapters focus on the epistemological aspects of data-based knowledge and ethical aspects of the use of Big Data, while also addressing paradigmatic cases such as Cambridge Analytica and the use of data from social networks to influence election outcomes.


Spatial Microeconometrics

Spatial Microeconometrics
Author: Giuseppe Arbia
Publisher: Routledge
Total Pages: 251
Release: 2021-03-25
Genre: Business & Economics
ISBN: 1317563484

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Spatial Microeconometrics introduces the reader to the basic concepts of spatial statistics, spatial econometrics and the spatial behavior of economic agents at the microeconomic level. Incorporating useful examples and presenting real data and datasets on real firms, the book takes the reader through the key topics in a systematic way. The book outlines the specificities of data that represent a set of interacting individuals with respect to traditional econometrics that treat their locational choices as exogenous and their economic behavior as independent. In particular, the authors address the consequences of neglecting such important sources of information on statistical inference and how to improve the model predictive performances. The book presents the theory, clarifies the concepts and instructs the readers on how to perform their own analyses, describing in detail the codes which are necessary when using the statistical language R. The book is written by leading figures in the field and is completely up to date with the very latest research. It will be invaluable for graduate students and researchers in economic geography, regional science, spatial econometrics, spatial statistics and urban economics.


The Rise of Algorithmic Society and the Strategic Role of Arts and Culture

The Rise of Algorithmic Society and the Strategic Role of Arts and Culture
Author: Luciana Lazzeretti
Publisher: Edward Elgar Publishing
Total Pages: 127
Release: 2023-06-01
Genre: Social Science
ISBN: 1035302543

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Illustrating the development of Artificial Intelligence (AI) and changes it has generated in the economy, society and culture, this expansive book continues the debate concerning the digital revolution and the rise of the algorithmic society.


Research Design in Clinical Psychology

Research Design in Clinical Psychology
Author: Alan E. Kazdin
Publisher: Cambridge University Press
Total Pages: 821
Release: 2023-09-07
Genre: Psychology
ISBN: 1108983227

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Gain a thorough understanding of the entire research process – developing ideas, selecting methods, analyzing and communicating results – in this fully revised and updated textbook. The sixth edition comprises the latest developments in the field, including the use of technology and web-based methods to conduct studies, the role of robots and artificial intelligence in designing and evaluating research, and the importance of diversity in research to inform results that reflect the society we live in. Designed to inspire the development of future research processes, this is the perfect textbook for graduate students and professionals in research methods and research design in clinical psychology.


Big Data Analysis: New Algorithms for a New Society

Big Data Analysis: New Algorithms for a New Society
Author: Nathalie Japkowicz
Publisher: Springer
Total Pages: 329
Release: 2015-12-16
Genre: Technology & Engineering
ISBN: 3319269895

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This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.


New Advances in Statistics and Data Science

New Advances in Statistics and Data Science
Author: Ding-Geng Chen
Publisher: Springer
Total Pages: 348
Release: 2018-01-17
Genre: Mathematics
ISBN: 3319694162

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This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge of Big Data and Applications of Statistics,” in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields. The topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice.


Advanced Statistical Methods for the Analysis of Large Data-Sets

Advanced Statistical Methods for the Analysis of Large Data-Sets
Author: Agostino Di Ciaccio
Publisher: Springer Science & Business Media
Total Pages: 464
Release: 2012-03-05
Genre: Mathematics
ISBN: 3642210376

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The theme of the meeting was “Statistical Methods for the Analysis of Large Data-Sets”. In recent years there has been increasing interest in this subject; in fact a huge quantity of information is often available but standard statistical techniques are usually not well suited to managing this kind of data. The conference serves as an important meeting point for European researchers working on this topic and a number of European statistical societies participated in the organization of the event. The book includes 45 papers from a selection of the 156 papers accepted for presentation and discussed at the conference on “Advanced Statistical Methods for the Analysis of Large Data-sets.”


Ethics and the Scholarship of Teaching and Learning

Ethics and the Scholarship of Teaching and Learning
Author: Lisa M. Fedoruk
Publisher: Springer Nature
Total Pages: 231
Release: 2022-09-07
Genre: Education
ISBN: 3031118103

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This book addresses issues related to ethics and the scholarship of teaching and learning, and pays special attention to ethical concerns and experiences that have arisen from engaging in Scholarship of Teaching and Learning (SoTL) work. The book draws on a range of research projects, theoretical frameworks and narrative experiences to provide multiple perspectives of how meaning is made of research ethics in SoTL, academic community and REB partnerships, experiences of Students as Partners in SoTL, and ethically-minded approaches to teaching, learning and inquiry. Specifically, this edited book includes ethical practices that have become increasingly expansive in an ever-evolving academic environment such as navigating pandemic pedagogy and data ownership due to increased online content. In addition, contributions pertaining to academic community partnerships between REBs and faculty detail realistic narratives and lessons learned about how higher education can become more equitable, diverse and inclusive. Subsequently, decolonial ethics for teaching and learning in higher education, as well as participatory parity, exemplify the need for SoTL practitioners to be responsive to the social and cultural realities of a global context in ways that address social inequities and social responsibility. Relational ethics by way of student perspectives on vulnerability and classroom-based SoTL research underscore the need for students to be taught about their own agency as a means of providing student voice within SoTL work. Lastly, this book celebrates how ethically-minded approaches to teaching, learning and inquiry uncover strategies and pedagogy that encourage concepts such as ethical imagination and systems and design thinking practices.