Biagio Aragona – författare & böcker

Algorithm Audit: Why, What, and How?

Inbunden, Engelska, 2021

784 kr

Skickas inom 10-15 vardagar

Seeking to increasing the social awareness of citizens, institutions, and corporations with regard to the risks presented by the acritical use of algorithms in decision-making, this book explains the rationale and the methods of algorithm audit. Interdisciplinary in approach, it provides a systematic overview of the subject, supplying readers with clear definitions and practical tools for the audit of algorithms, while also taking account of the political, business, and vocational obstacles to the development of this new field. As such, it constitutes an essential resource for students and researchers across the social sciences and humanities, as well as for professionals and policymakers, with concerns about the social consequences of algorithmic decision-making.

Algorithm Audit: Why, What, and How?

AvBiagio Aragona

Häftad, Engelska, 2023

303 kr

Skickas inom 10-15 vardagar

Seeking to increasing the social awareness of citizens, institutions, and corporations with regard to the risks presented by the acritical use of algorithms in decision-making, this book explains the rationale and the methods of algorithm audit. Interdisciplinary in approach, it provides a systematic overview of the subject, supplying readers with clear definitions and practical tools for the audit of algorithms, while also taking account of the political, business, and vocational obstacles to the development of this new field. As such, it constitutes an essential resource for students and researchers across the social sciences and humanities, as well as for professionals and policymakers, with concerns about the social consequences of algorithmic decision-making.

Algorithm Audit: Why, What, and How?

AvBiagio Aragona

E-bok

PDF, Engelska, 2021

353 kr

Läs direkt efter köp

Seeking to increasing the social awareness of citizens, institutions, and corporations with regard to the risks presented by the acritical use of algorithms in decision-making, this book explains the rationale and the methods of algorithm audit. Interdisciplinary in approach, it provides a systematic overview of the subject, supplying readers with clear definitions and practical tools for the audit of algorithms, while also taking account of the political, business, and vocational obstacles to the development of this new field. As such, it constitutes an essential resource for students and researchers across the social sciences and humanities, as well as for professionals and policymakers, with concerns about the social consequences of algorithmic decision-making.

Algorithm Audit: Why, What, and How?

AvBiagio Aragona

E-bok

Engelska, 2021

341 kr

Läs direkt efter köp

Seeking to increasing the social awareness of citizens, institutions, and corporations with regard to the risks presented by the acritical use of algorithms in decision-making, this book explains the rationale and the methods of algorithm audit. Interdisciplinary in approach, it provides a systematic overview of the subject, supplying readers with clear definitions and practical tools for the audit of algorithms, while also taking account of the political, business, and vocational obstacles to the development of this new field. As such, it constitutes an essential resource for students and researchers across the social sciences and humanities, as well as for professionals and policymakers, with concerns about the social consequences of algorithmic decision-making.

Knowing Digital Technologies

The Futures of Social Research

AvBiagio Aragona

Inbunden, Engelska, 2026

1 036 kr

Kommande

AI, quantum computing, big data and digital twins are transforming how we understand and produce knowledge in the social sciences. What are the implications of such technologies for what we know - and how we know it? This book explores these critical questions, examining the epistemology of the digital. Bridging technology with sociological theory, it challenges social scientists to rethink research design, methodology and the creation of social knowledge in the digital era. Essential for students and academics, it provides a rigorous, forward-looking guide to navigating digital transformations in social inquiry.

Knowing Digital Technologies

The Futures of Social Research

AvBiagio Aragona

Häftad, Engelska, 2026

380 kr

Kommande

AI, quantum computing, big data and digital twins are transforming how we understand and produce knowledge in the social sciences. What are the implications of such technologies for what we know - and how we know it? This book explores these critical questions, examining the epistemology of the digital. Bridging technology with sociological theory, it challenges social scientists to rethink research design, methodology and the creation of social knowledge in the digital era. Essential for students and academics, it provides a rigorous, forward-looking guide to navigating digital transformations in social inquiry.

Nyhet

Maria Gabriella Grassia, Marina Marino, Biagio Aragona, Enrica Amaturo, Corrado Crocetta, Carlo Natale Lauro - Data Science and Social Research III, Häftad

Data Science and Social Research III

Epistemology, Methods, Technology, Applications, and Relation to Artificial Intelligence

AvMaria Gabriella Grassia,Marina Marinom. fl.

Häftad, Engelska, 2026

2 392 kr

Skickas inom 11-20 vardagar

This volume reflects the state of the art in social data science and comprises a selection of peer-reviewed papers from the 4th International Conference on Data Science and Social Research, DSSR 2024, held in Naples, Italy, March 25–27, 2024. Drawing on statistics and computational methods within data science, it explores the opportunities and challenges that the “data revolution” poses to social research, addressing key areas such as sustainable development, social inequalities, public health, communication, and futures studies.The contributions examine complex social systems and present new social research on human behavior and society, using large datasets gathered from a variety of sources, such as social media and communication systems, or produced through controlled experiments, along with new methodological advancements for extracting social knowledge from large-scale datasets. Methodological, ethical, and digital data quality issues pertaining to social platforms are covered, with a focus on both the study of spatial data as well as sustainability, including sustainable tourism, and integrated systems are examined to take advantage of new sources of social data.

Data Science and Social Research

Epistemology, Methods, Technology and Applications

AvN. Carlo Lauro,Enrica Amaturom. fl.

Häftad, Engelska, 2017

1 730 kr

Skickas inom 10-15 vardagar

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources.This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.

Data Science and Social Research

Epistemology, Methods, Technology and Applications

AvMarina Marino,Biagio Aragonam. fl.

E-bok

Engelska, 2017

2 207 kr

Läs direkt efter köp

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis.

Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources.

This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.

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Biagio Aragona – författare

Algorithm Audit: Why, What, and How?

Algorithm Audit: Why, What, and How?

Algorithm Audit: Why, What, and How?

Algorithm Audit: Why, What, and How?

Knowing Digital Technologies

Knowing Digital Technologies

Data Science and Social Research III

Data Science and Social Research

Data Science and Social Research

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