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

Part of the SpringerBriefs in Statistics Book Series

DOI: 10.1007/978-3-030-73030-7

ISBN: 978-3-030-73029-1

Publisher: Springer International Publishing - Springer Journals

Apr 21, 2021

Available

Introduction

Arbia, Giuseppe

Pages: 1 –2

[This chapter represents a short introduction to the book stating its aims and scopes. Indeed, the book aims first of all at defining in a precise, but non-technical way, what we mean with Big Data; secondly, presenting some of the critical issues associated with their use; and finally,...
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What Do We Mean by the Term “Big Data”?

Arbia, Giuseppe

Pages: 3 –19

[This chapter starts with the definition of Big Data in terms of four V’s, namely: Volume, Velocity, Variety and Veridicity. The chapter also presents the idea that Big Data problems could be approached in two different ways using either a “muscular” solution, that is implementing more powerful...
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Statistics and Empirical Knowledge

Arbia, Giuseppe

Pages: 21 –44

[This chapter defines the philosophical frame of the topic. It starts presenting a short excursus of the statistical-quantitative method through history. It then moves to describe the two main gnoseological approaches: deduction and induction and then describes, in particular, the...
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Big Data: The Sixth Power

Arbia, Giuseppe

Pages: 45 –50

[This chapter is devoted to some important ethical issues connected with the use of Big Data. In particular, it discusses the emergence of a “sixth power” of Big Data (which adds to the traditional definitions contained in Montesquieu’s theory of the separation of powers) and the dangers for...
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Conclusions: Towards a New Empiricism?

Arbia, Giuseppe

Pages: 51 –52

[This chapter draws some conclusions to the book. In particular, it stresses how the Big Data revolution is imposing to everybody a new empiricism where all individuals have to act as scientists examining sets of data, like the results of a scientific experiment, to take better decisions.]
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Correction to: Statistics and Empirical Knowledge

Arbia, Giuseppe

Pages: C1 –C2

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