Human Centered Data Science

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Human-Centered Data Science

Author : Cecilia Aragon,Shion Guha,Marina Kogan,Michael Muller,Gina Neff
Publisher : MIT Press
Page : 201 pages
File Size : 43,5 Mb
Release : 2022-03-01
Category : Computers
ISBN : 9780262367592

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Human-Centered Data Science by Cecilia Aragon,Shion Guha,Marina Kogan,Michael Muller,Gina Neff Pdf

Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.

Human-Centered Data Discovery

Author : Kathleen Gregory,Laura Koesten
Publisher : Springer Nature
Page : 89 pages
File Size : 46,5 Mb
Release : 2023-01-01
Category : Computers
ISBN : 9783031182235

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Human-Centered Data Discovery by Kathleen Gregory,Laura Koesten Pdf

This book synthesizes existing research on human-centered data discovery, as well as the recommendations which exist for supporting the design of sustainable, user-centered data search systems. While information-seeking in various settings has been well-researched within computer and information science, not much is known about human-centered data discovery, or how people discover, understand and interact with data that others create. This is particularly relevant given the ever-increasing amounts of data being produced and made available, and the creation of data-specific discovery tools and systems. This book examines how people find the data they need, which search strategies and tools they use, how they understand data, and how search systems can be better designed to meet people’s needs.

Writers in the Secret Garden

Author : Cecilia Aragon,Katie Davis
Publisher : MIT Press
Page : 168 pages
File Size : 51,6 Mb
Release : 2019-08-20
Category : Education
ISBN : 9780262537803

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Writers in the Secret Garden by Cecilia Aragon,Katie Davis Pdf

An in-depth examination of the novel ways young people support and learn from each other though participation in online fanfiction communities. Over the past twenty years, amateur fanfiction writers have published an astonishing amount of fiction in online repositories. More than 1.5 million enthusiastic fanfiction writers—primarily young people in their teens and twenties—have contributed nearly seven million stories and more than 176 million reviews to a single online site, In this book, Cecilia Aragon and Katie Davis provide an in-depth examination of fanfiction writers and fanfiction repositories, finding that these sites are not shallow agglomerations and regurgitations of pop culture but rather online spaces for sophisticated and informal learning. Through their participation in online fanfiction communities, young people find ways to support and learn from one another. Aragon and Davis term this novel system of interactive advice and instruction distributed mentoring, and describe its seven attributes, each of which is supported by an aspect of networked technologies: aggregation, accretion, acceleration, abundance, availability, asynchronicity, and affect. Employing an innovative combination of qualitative and quantitative analyses, they provide an in-depth ethnography, reporting on a nine-month study of three fanfiction sites, and offer a quantitative analysis of lexical diversity in the 61.5 billion words on the site. Going beyond fandom, Aragon and Davis consider how distributed mentoring could improve not only other online learning platforms but also formal writing instruction in schools.

Data Science Strategy For Dummies

Author : Ulrika Jägare
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 47,9 Mb
Release : 2019-07-11
Category : Computers
ISBN : 9781119566250

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Data Science Strategy For Dummies by Ulrika Jägare Pdf

All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the “what” and the “why” of data science and covering what it takes to lead and nurture a top-notch team of data scientists. With this book, you’ll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Learn exactly what data science is and why it’s important Adopt a data-driven mindset as the foundation to success Understand the processes and common roadblocks behind data science Keep your data science program focused on generating business value Nurture a top-quality data science team In non-technical language, Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.

Data Science, Human-Centered Computing, and Intelligent Technologies

Author : Nelson Baloian,Aram Hajian,Tomoo Inoue,Wolfram Luther
Publisher : Unknown
Page : 0 pages
File Size : 42,9 Mb
Release : 2022-08-12
Category : Electronic
ISBN : 383255520X

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Data Science, Human-Centered Computing, and Intelligent Technologies by Nelson Baloian,Aram Hajian,Tomoo Inoue,Wolfram Luther Pdf

In August 2022, researchers and developers from Armenia, Chile, Germany, and Japan met at the American University of Armenia for the third edition of the CODASSCA Workshop on Collaborative Technologies and Data Science in Smart City Applications, co-organized with a Summer School on Artificial Neural Networks and Deep Learning. This book presents their contributions on intelligent technologies in data science and human-centered computing.

Data-Driven Personas

Author : Bernard J. Jansen,Joni Salminen,Soon-gyo Jung,Kathleen Guan
Publisher : Morgan & Claypool Publishers
Page : 347 pages
File Size : 48,8 Mb
Release : 2021-02-05
Category : Computers
ISBN : 9781636390697

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Data-Driven Personas by Bernard J. Jansen,Joni Salminen,Soon-gyo Jung,Kathleen Guan Pdf

This book traces the techniques that have enabled the development of data-driven personas and how they can be leveraged as tools for empathizing and understanding users. Data-driven personas are a significant advancement in the fields of human-centered informatics and human-computer interaction. Data-driven personas enhance user understanding by combining the empathy inherent with personas with the rationality inherent in analytics using computational methods. Via the employment of these computational methods, the data-driven persona method permits the use of large-scale user data, which is a novel advancement in persona creation. A common approach for increasing stakeholder engagement about audiences, customers, or users, persona creation remained relatively unchanged for several decades. However, the availability of digital user data, data science algorithms, and easy access to analytics platforms provide avenues and opportunities to enhance personas from often sketchy representations of user segments to precise, actionable, interactive decision-making tools—data-driven personas! Using the data-driven approach, the persona profile can serve as an interface to a fully functional analytics system that can present user representation at various levels of information granularity for more task-aligned user insights. Presenting a conceptual framework consisting of (a) persona benefits, (b) analytics benefits, and (c) decision-making outcomes, we illustrate applying this framework via practical use cases in areas of system design, digital marketing, and content creation to demonstrate the application of data-driven personas in practical applied situations. We then present an overview of a fully functional data-driven persona system as an example of multi-level information aggregation needed for decision making about users. We demonstrate that data-driven personas systems can provide critical, empathetic, and user-understanding functionalities for anyone needing such insights.

Collaborative Technologies and Data Science in Smart City Applications

Author : Aram Hajian,Wolfram Luther,A. J. Han Vinck
Publisher : Logos Verlag Berlin GmbH
Page : 173 pages
File Size : 41,8 Mb
Release : 2018-08-30
Category : Computers
ISBN : 9783832547349

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Collaborative Technologies and Data Science in Smart City Applications by Aram Hajian,Wolfram Luther,A. J. Han Vinck Pdf

In September 2018, researchers from Armenia, Chile, Germany and Japan met in Yerevan to discuss technologies with applications in Smart Cities, Data Science and Information-Theoretic Approaches for Smart Systems, Technical Challenges for Smart Environments, and Smart Human Centered Computing. This book presents their contributions to the CODASSCA 2018 workshop on Collaborative Technologies and Data Science in Smart City Applications, a cutting-edge topic in Computer Science today.

Human-Centered AI

Author : Ben Shneiderman
Publisher : Oxford University Press
Page : 390 pages
File Size : 42,5 Mb
Release : 2022-01-13
Category : Computers
ISBN : 9780192660008

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Human-Centered AI by Ben Shneiderman Pdf

The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.

Information Visualization

Author : Andreas Kerren,John Stasko,Jean-Daniel Fekete,Chris North
Publisher : Springer Science & Business Media
Page : 184 pages
File Size : 41,7 Mb
Release : 2008-07-18
Category : Computers
ISBN : 9783540709558

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Information Visualization by Andreas Kerren,John Stasko,Jean-Daniel Fekete,Chris North Pdf

This book is the outcome of the Dagstuhl Seminar on "Information Visualization -- Human-Centered Issues in Visual Representation, Interaction, and Evaluation" held at Dagstuhl Castle, Germany, from May 28 to June 1, 2007. Information Visualization (InfoVis) is a relatively new research area, which focuses on the use of visualization techniques to help people understand and analyze data. This book documents and extends the findings and discussions of the various sessions in detail. The seven contributions cover the most important topics: There are general reflections on the value of information visualization; evaluating information visualizations; theoretical foundations of information visualization; teaching information visualization. And specific aspects on creation and collaboration: engaging new audiences for information visualization; process and pitfalls in writing information visualization research papers; and visual analytics: definition, process, and challenges.

Human-Centered Digitalization and Services

Author : Marja Toivonen,Eveliina Saari
Publisher : Springer
Page : 329 pages
File Size : 52,5 Mb
Release : 2019-06-03
Category : Business & Economics
ISBN : 9789811377259

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Human-Centered Digitalization and Services by Marja Toivonen,Eveliina Saari Pdf

This book provides a timely overview of the impacts of digitalization from the perspective of everyday life, and argues that one central issue in digitalization is the development of new types of services that digitalization enables, but which are often overlooked due to the focus on new technologies and devices. The book summarizes the past 20 years of research into the relationship between information and communications technology (ICT) and service innovation, and reveals that the ongoing digitalization is a qualitatively different phenomenon and represents a true paradigm shift. The all-encompassing integration and distribution of data raises critical issues such as preserving human dignity and individual autonomy; moreover, interaction practices that foster broad participation, trust, learning, and a willingness to share knowledge are called for. Citizen empowerment and multi-actor co-creation have become central to using digitalization to support the development of wellbeing and sustainability. Further, the book shows how employees and professionals can and should be involved in designing their future work, and in evaluating it. Proactiveness and participation in innovation endeavours are ways to guarantee meaningful work in an age of socio-technical transition. The book employs a variety of theoretical approaches and perspectives from diverse disciplines to illustrate these needs. In addition to theoretical analyses, some specific application areas are examined, e.g. services in health and social care, and problems linked to robots in elderly care. Given its scope, the book is highly recommended to all readers seeking an overview of the current understanding of the human side of digitalization and searching for concrete cases from different countries to illustrate the topic.

Context-Aware Machine Learning and Mobile Data Analytics

Author : Iqbal Sarker,Alan Colman,Jun Han,Paul Watters
Publisher : Springer Nature
Page : 164 pages
File Size : 48,5 Mb
Release : 2022-01-01
Category : Computers
ISBN : 9783030885304

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Context-Aware Machine Learning and Mobile Data Analytics by Iqbal Sarker,Alan Colman,Jun Han,Paul Watters Pdf

This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making. Thus, we have bestowed a comprehensive study on this topic that explores multi-dimensional contexts in machine learning modeling, context discretization with time-series modeling, contextual rule discovery and predictive analytics, recent-pattern or rule-based behavior modeling, and their usefulness in various context-aware intelligent applications and services. The presented machine learning-based techniques can be employed in a wide range of real-world application areas ranging from personalized mobile services to security intelligence, highlighted in the book. As the interpretability of a rule-based system is high, the automation in discovering rules from contextual raw data can make this book more impactful for the application developers as well as researchers. Overall, this book provides a good reference for both academia and industry people in the broad area of data science, machine learning, AI-Driven computing, human-centered computing and personalization, behavioral analytics, IoT and mobile applications, and cybersecurity intelligence.

Human Centered Methods in Information Systems: Current Research and Practice

Author : Clarke, Steve,Lehaney, Brian
Publisher : IGI Global
Page : 241 pages
File Size : 44,9 Mb
Release : 1999-07-01
Category : Computers
ISBN : 9781930708563

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Human Centered Methods in Information Systems: Current Research and Practice by Clarke, Steve,Lehaney, Brian Pdf

The 1980s and 1990s have seen a growing interest in research and practice in information systems design and development from a human-centered perspective. This interest is accelerated by the increase in organizations in which the human resource provides the means to key competitive advantage. This book is a compilation of contributed chapters by researchers and practitioners addressing the relationships between human activity, organizational issues and technology.

Human Centered Computing

Author : Qiaohong Zu,Bo Hu
Publisher : Springer
Page : 663 pages
File Size : 47,6 Mb
Release : 2018-01-23
Category : Computers
ISBN : 3319745204

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Human Centered Computing by Qiaohong Zu,Bo Hu Pdf

This book constitutes revised selected papers from the thoroughly refereed proceedings of the Third International Human Centered Computing Conference, HCC 2017, that consolidated and further develops the successful ICPCA/SWS conferences on Pervasive Computing and the Networked World, and which was held in Kazan, Russia, in August 2017.The 48 full and 20 short papers presented in this book together with 2 invited keynotes were carefully reviewed and selected from numerous submissions. This proceedings present recent advances in human machine interfaces, wireless and mobile network technologies, and data analytics, which make computer services truly human-centric.

Targeted Learning in Data Science

Author : Mark J. van der Laan,Sherri Rose
Publisher : Springer
Page : 640 pages
File Size : 40,9 Mb
Release : 2018-03-28
Category : Mathematics
ISBN : 9783319653044

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Targeted Learning in Data Science by Mark J. van der Laan,Sherri Rose Pdf

This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation problems by using the general template of targeted maximum likelihood estimators. These targeted machine learning algorithms estimate quantities of interest while still providing valid inference. Targeted learning methods within data science area critical component for solving scientific problems in the modern age. The techniques can answer complex questions including optimal rules for assigning treatment based on longitudinal data with time-dependent confounding, as well as other estimands in dependent data structures, such as networks. Included in Targeted Learning in Data Science are demonstrations with soft ware packages and real data sets that present a case that targeted learning is crucial for the next generation of statisticians and data scientists. Th is book is a sequel to the first textbook on machine learning for causal inference, Targeted Learning, published in 2011. Mark van der Laan, PhD, is Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics and Statistics at UC Berkeley. His research interests include statistical methods in genomics, survival analysis, censored data, machine learning, semiparametric models, causal inference, and targeted learning. Dr. van der Laan received the 2004 Mortimer Spiegelman Award, the 2005 Van Dantzig Award, the 2005 COPSS Snedecor Award, the 2005 COPSS Presidential Award, and has graduated over 40 PhD students in biostatistics and statistics. Sherri Rose, PhD, is Associate Professor of Health Care Policy (Biostatistics) at Harvard Medical School. Her work is centered on developing and integrating innovative statistical approaches to advance human health. Dr. Rose’s methodological research focuses on nonparametric machine learning for causal inference and prediction. She co-leads the Health Policy Data Science Lab and currently serves as an associate editor for the Journal of the American Statistical Association and Biostatistics.

Handbook of Service Science, Volume II

Author : Paul P. Maglio,Cheryl A. Kieliszewski,James C. Spohrer,Kelly Lyons,Lia Patrício,Yuriko Sawatani
Publisher : Springer
Page : 845 pages
File Size : 48,5 Mb
Release : 2018-10-16
Category : Business & Economics
ISBN : 9783319985121

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Handbook of Service Science, Volume II by Paul P. Maglio,Cheryl A. Kieliszewski,James C. Spohrer,Kelly Lyons,Lia Patrício,Yuriko Sawatani Pdf

The second volume of this successful handbook represents varied perspectives on the fast-expanding field of Service Science. The novel work collected in these chapters is drawn from both new researchers who have grown-up with Service Science, as well as established researchers who are adapting their frames for the modern service context. The first Handbook of Service Science marked the emergence of Service Science when disciplinary studies of business-to-customer service systems intertwined to meet the needs of a new era of business-to-business and global service ecosystems. Today, the evolving discipline of Service Science involves advanced technologies, such as smartphones, cloud, social platforms, big data analytics, and artificial intelligence. These technologies are reshaping the service landscape, transforming both business models and public policy, ranging from retail and hospitality to transportation and communications. By looking through the eyes of today’s new Service Scientists, it is anticipated that value and grand challenges will emerge from the integration of theories, methods, and techniques brought together in the first volume, but which are now rooted more deeply in service-dominant logic and systems thinking in this second volume. The handbook is divided into four parts: 1) Service Experience--On the Human-centered Nature of Service; 2) Service Systems–On the Nature of Service Interactions; 3) Service Ecosystems–On the Broad Context of Service; 4) Challenges–On Rethinking the Theory and Foundations of Service Science. The chapters add clarity on how to identify, enable, and measure service, thus allowing for new ideas and connections made to physics, design, computer science, and data science and analytics for advancing service innovation and the welfare of society. Handbook of Service Science, Volume II offers a thorough reference suitable for a wide-reaching audience including researchers, practitioners, managers, and students who aspire to learn about or to create a deeper scientific foundation for service design and engineering, service experience and marketing, and service management and innovation.