Responsible Data Science

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Responsible Data Science

Peter C. Bruce,Grant Fleming
Responsible Data Science Book PDF

Author : Peter C. Bruce,Grant Fleming
Publisher : John Wiley & Sons
Page : 304 pages
File Size : 46,7 Mb
Release : 2021-04-13
Category : Computers
ISBN : 9781119741770

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Responsible Data Science by Peter C. Bruce,Grant Fleming Pdf

Explore the most serious prevalent ethical issues in data science with this insightful new resource The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of “Black box” algorithms that are difficult or impossible to understand and explain, even for their developers, is a primary source of these unanticipated harms, making modern techniques and methods for manipulating large data sets seem sinister, even dangerous. When put in the hands of authoritarian governments, these algorithms have enabled suppression of political dissent and persecution of minorities. To prevent these harms, data scientists everywhere must come to understand how the algorithms that they build and deploy may harm certain groups or be unfair. Responsible Data Science delivers a comprehensive, practical treatment of how to implement data science solutions in an even-handed and ethical manner that minimizes the risk of undue harm to vulnerable members of society. Both data science practitioners and managers of analytics teams will learn how to: Improve model transparency, even for black box models Diagnose bias and unfairness within models using multiple metrics Audit projects to ensure fairness and minimize the possibility of unintended harm Perfect for data science practitioners, Responsible Data Science will also earn a spot on the bookshelves of technically inclined managers, software developers, and statisticians.

Ethics and Data Science

Mike Loukides,Hilary Mason,DJ Patil
Ethics and Data Science Book PDF

Author : Mike Loukides,Hilary Mason,DJ Patil
Publisher : "O'Reilly Media, Inc."
Page : 37 pages
File Size : 41,5 Mb
Release : 2018-07-25
Category : Computers
ISBN : 9781492078210

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Ethics and Data Science by Mike Loukides,Hilary Mason,DJ Patil Pdf

As the impact of data science continues to grow on society there is an increased need to discuss how data is appropriately used and how to address misuse. Yet, ethical principles for working with data have been available for decades. The real issue today is how to put those principles into action. With this report, authors Mike Loukides, Hilary Mason, and DJ Patil examine practical ways for making ethical data standards part of your work every day. To help you consider all of possible ramifications of your work on data projects, this report includes: A sample checklist that you can adapt for your own procedures Five framing guidelines (the Five C’s) for building data products: consent, clarity, consistency, control, and consequences Suggestions for building ethics into your data-driven culture Now is the time to invest in a deliberate practice of data ethics, for better products, better teams, and better outcomes. Get a copy of this report and learn what it takes to do good data science today.

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

Denis Dennehy,Anastasia Griva,Nancy Pouloudi,Yogesh K. Dwivedi,Ilias Pappas,Matti Mäntymäki
Responsible AI and Analytics for an Ethical and Inclusive Digitized Society Book PDF

Author : Denis Dennehy,Anastasia Griva,Nancy Pouloudi,Yogesh K. Dwivedi,Ilias Pappas,Matti Mäntymäki
Publisher : Springer Nature
Page : 794 pages
File Size : 42,9 Mb
Release : 2021-08-25
Category : Computers
ISBN : 9783030854478

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Responsible AI and Analytics for an Ethical and Inclusive Digitized Society by Denis Dennehy,Anastasia Griva,Nancy Pouloudi,Yogesh K. Dwivedi,Ilias Pappas,Matti Mäntymäki Pdf

This volume constitutes the proceedings of the 20th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2021, held in Galway, Ireland, in September 2021.* The total of 57 full and 8 short papers presented in these volumes were carefully reviewed and selected from 141 submissions. The papers are organized in the following topical sections: AI for Digital Transformation and Public Good; AI & Analytics Decision Making; AI Philosophy, Ethics & Governance; Privacy & Transparency in a Digitized Society; Digital Enabled Sustainable Organizations and Societies; Digital Technologies and Organizational Capabilities; Digitized Supply Chains; Customer Behavior and E-business; Blockchain; Information Systems Development; Social Media & Analytics; and Teaching & Learning. *The conference was held virtually due to the COVID-19 pandemic.

Internet of Things. Information Processing in an Increasingly Connected World

Leon Strous,Vinton G. Cerf
Internet of Things Information Processing in an Increasingly Connected World Book PDF

Author : Leon Strous,Vinton G. Cerf
Publisher : Springer
Page : 243 pages
File Size : 44,9 Mb
Release : 2019-03-19
Category : Computers
ISBN : 9783030156510

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Internet of Things. Information Processing in an Increasingly Connected World by Leon Strous,Vinton G. Cerf Pdf

This open access book constitutes the refereed post-conference proceedings of the First IFIP International Cross-Domain Conference on Internet of Things, IFIPIoT 2018, held at the 24th IFIP World Computer Congress, WCC 2018, in Poznan, Poland, in September 2018. The 12 full papers presented were carefully reviewed and selected from 24 submissions. Also included in this volume are 4 WCC 2018 plenary contributions, an invited talk and a position paper from the IFIP domain committee on IoT. The papers cover a wide range of topics from a technology to a business perspective and include among others hardware, software and management aspects, process innovation, privacy, power consumption, architecture, applications.

Responsible Data Science

Jimson Mathew,G. Santhosh Kumar,Deepak P.,Joemon M. Jose
Responsible Data Science Book PDF

Author : Jimson Mathew,G. Santhosh Kumar,Deepak P.,Joemon M. Jose
Publisher : Springer Nature
Page : 222 pages
File Size : 41,9 Mb
Release : 2022-11-14
Category : Computers
ISBN : 9789811944536

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Responsible Data Science by Jimson Mathew,G. Santhosh Kumar,Deepak P.,Joemon M. Jose Pdf

This book comprises select proceedings of the 7th International Conference on Data Science and Engineering (ICDSE 2021). The contents of this book focus on responsible data science. This book tries to integrate research across diverse topics related to data science, such as fairness, trust, ethics, confidentiality, transparency, and accuracy. The chapters in this book represent research from different perspectives that offer novel theoretical implications that span multiple disciplines. The book will serve as a reference resource for researchers and practitioners in academia and industry.

Data Feminism

Catherine D'Ignazio,Lauren F. Klein
Data Feminism Book PDF

Author : Catherine D'Ignazio,Lauren F. Klein
Publisher : MIT Press
Page : 328 pages
File Size : 51,7 Mb
Release : 2023-10-03
Category : Social Science
ISBN : 9780262547185

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Data Feminism by Catherine D'Ignazio,Lauren F. Klein Pdf

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

Responsible Artificial Intelligence

Virginia Dignum
Responsible Artificial Intelligence Book PDF

Author : Virginia Dignum
Publisher : Springer Nature
Page : 127 pages
File Size : 51,6 Mb
Release : 2019-11-04
Category : Computers
ISBN : 9783030303716

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Responsible Artificial Intelligence by Virginia Dignum Pdf

In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.

Practical Statistics for Data Scientists

Peter Bruce,Andrew Bruce
Practical Statistics for Data Scientists Book PDF

Author : Peter Bruce,Andrew Bruce
Publisher : "O'Reilly Media, Inc."
Page : 395 pages
File Size : 44,8 Mb
Release : 2017-05-10
Category : Computers
ISBN : 9781491952917

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Practical Statistics for Data Scientists by Peter Bruce,Andrew Bruce Pdf

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Process Mining

Wil M. P. van der Aalst
Process Mining Book PDF

Author : Wil M. P. van der Aalst
Publisher : Springer
Page : 477 pages
File Size : 41,6 Mb
Release : 2016-04-15
Category : Computers
ISBN : 9783662498514

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Process Mining by Wil M. P. van der Aalst Pdf

This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.

Data and Information Quality

Carlo Batini,Monica Scannapieco
Data and Information Quality Book PDF

Author : Carlo Batini,Monica Scannapieco
Publisher : Springer
Page : 500 pages
File Size : 47,7 Mb
Release : 2016-03-23
Category : Computers
ISBN : 9783319241067

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Data and Information Quality by Carlo Batini,Monica Scannapieco Pdf

This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems. To this end, it presents an extensive description of the techniques that constitute the core of data and information quality research, including record linkage (also called object identification), data integration, error localization and correction, and examines the related techniques in a comprehensive and original methodological framework. Quality dimension definitions and adopted models are also analyzed in detail, and differences between the proposed solutions are highlighted and discussed. Furthermore, while systematically describing data and information quality as an autonomous research area, paradigms and influences deriving from other areas, such as probability theory, statistical data analysis, data mining, knowledge representation, and machine learning are also included. Last not least, the book also highlights very practical solutions, such as methodologies, benchmarks for the most effective techniques, case studies, and examples. The book has been written primarily for researchers in the fields of databases and information management or in natural sciences who are interested in investigating properties of data and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. Data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from the combination of concrete practical approaches with sound theoretical formalisms.

Responsible Conduct of Research

Adil E. Shamoo,David B. Resnik
Responsible Conduct of Research Book PDF

Author : Adil E. Shamoo,David B. Resnik
Publisher : Oxford University Press
Page : 441 pages
File Size : 47,9 Mb
Release : 2009-02-12
Category : Medical
ISBN : 9780199709601

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Responsible Conduct of Research by Adil E. Shamoo,David B. Resnik Pdf

Recent scandals and controversies, such as data fabrication in federally funded science, data manipulation and distortion in private industry, and human embryonic stem cell research, illustrate the importance of ethics in science. Responsible Conduct of Research, now in a completely updated second edition, provides an introduction to the social, ethical, and legal issues facing scientists today.

Intelligent Data Engineering and Analytics

Suresh Chandra Satapathy,Yu-Dong Zhang,Vikrant Bhateja,Ritanjali Majhi
Intelligent Data Engineering and Analytics Book PDF

Author : Suresh Chandra Satapathy,Yu-Dong Zhang,Vikrant Bhateja,Ritanjali Majhi
Publisher : Springer Nature
Page : 758 pages
File Size : 50,9 Mb
Release : 2020-08-29
Category : Technology & Engineering
ISBN : 9789811556791

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Intelligent Data Engineering and Analytics by Suresh Chandra Satapathy,Yu-Dong Zhang,Vikrant Bhateja,Ritanjali Majhi Pdf

This book gathers the proceedings of the 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), held at NIT Surathkal, Karnataka, India, on 4–5 January 2020. In these proceedings, researchers, scientists, engineers and practitioners share new ideas and lessons learned in the field of intelligent computing theories with prospective applications in various engineering disciplines. The respective papers cover broad areas of the information and decision sciences, and explore both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. Given its scope, the book offers a valuable resource for graduate students in various engineering disciplines.

Doing Data Science

Cathy O'Neil,Rachel Schutt
Doing Data Science Book PDF

Author : Cathy O'Neil,Rachel Schutt
Publisher : "O'Reilly Media, Inc."
Page : 408 pages
File Size : 45,9 Mb
Release : 2013-10-09
Category : Computers
ISBN : 9781449363895

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Doing Data Science by Cathy O'Neil,Rachel Schutt Pdf

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

Fundamentals of Clinical Data Science

Pieter Kubben,Michel Dumontier,Andre Dekker
Fundamentals of Clinical Data Science Book PDF

Author : Pieter Kubben,Michel Dumontier,Andre Dekker
Publisher : Springer
Page : 219 pages
File Size : 43,9 Mb
Release : 2018-12-21
Category : Medical
ISBN : 9783319997131

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Fundamentals of Clinical Data Science by Pieter Kubben,Michel Dumontier,Andre Dekker Pdf

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

Information and Communications for Development 2018

World Bank
Information and Communications for Development 2018 Book PDF

Author : World Bank
Publisher : World Bank Publications
Page : 174 pages
File Size : 52,8 Mb
Release : 2018-11-08
Category : Business & Economics
ISBN : 9781464813559

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Information and Communications for Development 2018 by World Bank Pdf

The Information and Communications for Development series looks in depth at how information and communications technologies are affecting economic growth in developing countries. This new report, the fourth in the series, examines the topic of data-driven development, or how better information makes for better policies. The objective is to assist developing-country firms and governments in unlocking the value of the data they hold for better service delivery and decision making and to empower individuals to take more control of their personal data. We are undoubtedly experiencing a data revolution in which our ability to generate, process, and utilize information has been magnified many times over by the machines that we increasingly rely upon. This report is about how the data revolution is changing the behavior of governments, individuals, and firms and how these changes affect the nature of development: economic, social, and cultural. How can governments extract value from data to improve service delivery in the same way that private companies have learned to do for profit? Is it feasible for individuals to take ownership of their own data and to use it to improve their livelihoods and quality of life? Can developing-country firms compete with the internet majors on their own turf and be even more innovative in their use of data to serve local customers better? Though the report is aimed primarily at government policy makers, it also has great relevance for individuals concerned about how their personal data is used and how the data revolution might affect their future job prospects. For private sector firms, particularly those in developing countries, the report suggests how they might expand their markets and improve their competitive edge. For development professionals, the report provides guidance on how they might use data more creatively to tackle long-standing global challenges, such as eliminating extreme poverty, promoting shared prosperity, or mitigating the effects of climate change. The report’s chapters explore different themes associated with the supply of data, the technology underlying it, and the demand for it. An overview chapter focuses on government use of data and presentation of definitions. Part I of the report then looks at the “supply side†? of the data sector, with chapters on data connectivity and capacity (where data comes from, how it is stored, and where it goes) and data technology (specifically big data analytics and artificial intelligence) and how this is contributing to development. Part II looks at the sector’s “demand side,†? with a chapter on people’s use of data and another that examines how firms use digital platforms in the data economy and how that contributes to competitiveness. Part III brings together the policy implications for developing-country stakeholders, with a chapter considering government policies for data, including data protection and privacy. A closing Data Notes appendix looks at statistical indicators associated with the use of data and presents the 2018 update of the Digital Adoption Index (DAI), a composite indicator introduced in the 2016 World Development Report: Digital Dividends.