Human Centered Data Science
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Human Centered Data Science
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Author : Cecilia Aragon
language : en
Publisher: MIT Press
Release Date : 2022-03-01
Human Centered Data Science written by Cecilia Aragon and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-01 with Computers categories.
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
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Author : Kathleen Gregory
language : en
Publisher: Springer Nature
Release Date : 2023-01-01
Human Centered Data Discovery written by Kathleen Gregory and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Computers categories.
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.
Advances In Usability User Experience Wearable And Assistive Technology
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Author : Tareq Ahram
language : en
Publisher: Springer Nature
Release Date : 2020-07-01
Advances In Usability User Experience Wearable And Assistive Technology written by Tareq Ahram and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-01 with Technology & Engineering categories.
This book addresses emerging issues in usability, interface design, human–computer interaction, user experience and assistive technology. It highlights research aimed at understanding human interactions with products, services and systems and focuses on finding effective approaches for improving the user experience. It also discusses key issues in designing and providing assistive devices and services for individuals with disabilities or impairment, offering them support with mobility, communication, positioning, environmental control and daily living. The book covers modeling as well as innovative design concepts, with a special emphasis on user-centered design, and design for specific populations, particularly the elderly. Further topics include virtual reality, digital environments, gaming, heuristic evaluation and forms of device interface feedback (e.g. visual and haptic). Based on the AHFE 2020 Virtual Conference on Usability and User Experience, the AHFE 2020 Virtual Conference on Human Factors and Assistive Technology, the AHFE Virtual Conference on Human Factors and Wearable Technologies, and the AHFE 2020 Virtual Conference on Virtual Environments and Game Design, held on July 16–20, 2020, it provides academics and professionals with an extensive source of information and a timely guide to tools, applications and future challenges in these fields.
Data Science Thinking
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Author : Longbing Cao
language : en
Publisher: Springer
Release Date : 2018-08-17
Data Science Thinking written by Longbing Cao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-17 with Computers categories.
This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.
Roundtable On Data Science Postsecondary Education
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2020-09-02
Roundtable On Data Science Postsecondary Education written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-02 with Education categories.
Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various topics under this charge. The meetings centered on four central themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and ethics and data science. This publication highlights the presentations and discussions of each meeting.
Writers In The Secret Garden
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Author : Cecilia Aragon
language : en
Publisher: MIT Press
Release Date : 2019-08-20
Writers In The Secret Garden written by Cecilia Aragon and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-20 with Education categories.
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, Fanfiction.net. 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 Fanfiction.net 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.
Foundations Of Data Science For Engineering Problem Solving
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Author : Parikshit Narendra Mahalle
language : en
Publisher: Springer Nature
Release Date : 2021-08-21
Foundations Of Data Science For Engineering Problem Solving written by Parikshit Narendra Mahalle and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-21 with Technology & Engineering categories.
This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.
Enhancing Business Communications And Collaboration Through Data Science Applications
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Author : Geada, Nuno
language : en
Publisher: IGI Global
Release Date : 2023-03-21
Enhancing Business Communications And Collaboration Through Data Science Applications written by Geada, Nuno and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Business & Economics categories.
Digital evolution has become increasingly present in our lives, whether on cellphones, computers, watches, or other appliances. As a result of the wide access we have to the digital world, the amount of data generated daily is vast. This density of information generated at every moment can be the insight needed for the success of an organization. Much is said about data-based decision-making to generate the best results. The new capabilities of data intelligence unleashed by the emergence of cloud computing and artificial intelligence make it one of the most promising areas of digital transformation change management. Enhancing Business Communications and Collaboration Through Data Science Applications provides relevant theoretical frameworks and the latest empirical research findings in the area. It is written for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. Covering topics such as data science, online business communication, and user-centered design, this premier reference source is an ideal resource for business managers and leaders, entrepreneurs, data scientists, data analysts, sociologists, students and educators of higher education, librarians, researchers, and academicians.
Encyclopedia Of Data Science And Machine Learning
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2023-01-20
Encyclopedia Of Data Science And Machine Learning written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Computers categories.
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Cross Reality And Data Science In Engineering
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Author : Michael E. Auer
language : en
Publisher: Springer Nature
Release Date : 2020-08-20
Cross Reality And Data Science In Engineering written by Michael E. Auer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-20 with Computers categories.
Today, online technologies are at the core of most fields of engineering and society as a whole . This book discusses the fundamentals, applications and lessons learned in the field of online and remote engineering, virtual instrumentation, and other related technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M & Smart Objects. Since the first Remote Engineering and Virtual Instrumentation (REV) conference in 2004, the event has focused on the use of the Internet for engineering tasks, as well as the related opportunities and challenges. In a globally connected world, interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In this context, the REV conferences discuss fundamentals, applications and experiences in the field of Online and Remote Engineering as well as Virtual Instrumentation. Furthermore, the conferences focus on guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and open resources. This book presents the proceedings of REV2020 on “Cross Reality and Data Science in Engineering” which was held as the 17th in series of annual events. It was organized in cooperation with the Engineering Education Transformations Institute and the Georgia Informatics Institutes for Research and Education and was held at the College of Engineering at the University of Georgia in Athens (GA), USA, from February 26 to 28, 2020.