Applications Of Data Centric Science To Social Design

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Applications of Data-Centric Science to Social Design

Author : Aki-Hiro Sato
Publisher :
ISBN 13 : 9789811071959
Total Pages : 266 pages
Book Rating : 4.0/5 (719 download)

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Book Synopsis Applications of Data-Centric Science to Social Design by : Aki-Hiro Sato

Download or read book Applications of Data-Centric Science to Social Design written by Aki-Hiro Sato and published by . This book was released on 2019 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intention behind this book is to illustrate the deep relation among human behavior, data-centric science, and social design. In fact, these three issues have been independently developing in different fields, although they are, of course, deeply interrelated to one another. Specifically, fundamental understanding of human behavior should be employed for investigating our human society and designing social systems. Insights and both quantitative and qualitative understandings of collective human behavior are quite useful when social systems are designed. Fundamental principles of human behavior, theoretical models of human behavior, and information cascades are addressed as aspects of human behavior. Data-driven investigation of human nature, social behavior, and societal systems are developed as aspects of data-centric science. As design aspects, how to design social systems from heterogeneous memberships is explained. There is also discussion of these three aspects-human behavior, data-centric science, and social design-independently and with regard to the relationships among them.

Applications of Data-Centric Science to Social Design

Author : Aki-Hiro Sato
Publisher : Springer
ISBN 13 : 9811071942
Total Pages : 266 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Applications of Data-Centric Science to Social Design by : Aki-Hiro Sato

Download or read book Applications of Data-Centric Science to Social Design written by Aki-Hiro Sato and published by Springer. This book was released on 2019-07-04 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intention behind this book is to illustrate the deep relation among human behavior, data-centric science, and social design. In fact, these three issues have been independently developing in different fields, although they are, of course, deeply interrelated to one another. Specifically, fundamental understanding of human behavior should be employed for investigating our human society and designing social systems. Insights and both quantitative and qualitative understandings of collective human behavior are quite useful when social systems are designed. Fundamental principles of human behavior, theoretical models of human behavior, and information cascades are addressed as aspects of human behavior. Data-driven investigation of human nature, social behavior, and societal systems are developed as aspects of data-centric science. As design aspects, how to design social systems from heterogeneous memberships is explained. There is also discussion of these three aspects—human behavior, data-centric science, and social design—independently and with regard to the relationships among them.

Evaluation Platform of Sustainability for Global Systems

Author : Aki-Hiro Sato
Publisher : Springer Nature
ISBN 13 : 9819722969
Total Pages : 152 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Evaluation Platform of Sustainability for Global Systems by : Aki-Hiro Sato

Download or read book Evaluation Platform of Sustainability for Global Systems written by Aki-Hiro Sato and published by Springer Nature. This book was released on with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science

Author : Naoki Masuda
Publisher : Springer Nature
ISBN 13 : 3030389650
Total Pages : 270 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science by : Naoki Masuda

Download or read book Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science written by Naoki Masuda and published by Springer Nature. This book was released on 2020-01-19 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of NetSci-X 2020: the Sixth International School and Conference on Network Science, which was held in Tokyo, Japan, in January 2020. NetSci-X is the Network Science Society’s winter conference series that covers a wide variety of interdisciplinary topics on networks. Participants come from various fields, including (but not limited to): mathematics, physics, computer science, social sciences, management and marketing sciences, organization science, communication science, systems science, biology, ecology, neuroscience, medicine, as well as business. This volume consists of contributed papers that have been accepted to NetSc-X 2020 through a rigorous peer review process. Researchers, students, and professionals will gain first-hand information about today’s cutting-edge research frontier of network science.

Human-Centered Data Science

Author : Cecilia Aragon
Publisher : MIT Press
ISBN 13 : 0262367599
Total Pages : 201 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Human-Centered Data Science by : Cecilia Aragon

Download or read book Human-Centered Data Science written by Cecilia Aragon and published by MIT Press. This book was released on 2022-03-01 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data and Information Quality

Author : Carlo Batini
Publisher : Springer
ISBN 13 : 3319241060
Total Pages : 500 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Data and Information Quality by : Carlo Batini

Download or read book Data and Information Quality written by Carlo Batini and published by Springer. This book was released on 2016-03-23 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Warehouse Systems

Author : Alejandro Vaisman
Publisher : Springer Nature
ISBN 13 : 366265167X
Total Pages : 696 pages
Book Rating : 4.6/5 (626 download)

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Book Synopsis Data Warehouse Systems by : Alejandro Vaisman

Download or read book Data Warehouse Systems written by Alejandro Vaisman and published by Springer Nature. This book was released on 2022-08-16 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including conceptual and logical data warehouse design, as well as querying using MDX, DAX and SQL/OLAP. This part also covers data analytics using Power BI and Analysis Services. Part II details “Implementation and Deployment,” including physical design, ETL and data warehouse design methodologies. Part III covers “Advanced Topics” and it is almost completely new in this second edition. This part includes chapters with an in-depth coverage of temporal, spatial, and mobility data warehousing. Graph data warehouses are also covered in detail using Neo4j. The last chapter extensively studies big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL and NewSQL database systems, and data lakes in the context of analytical data processing. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Power BI. All chapters have been revised and updated to the latest versions of the software tools used. KPIs and Dashboards are now also developed using DAX and Power BI, and the chapter on ETL has been expanded with the implementation of ETL processes in PostgreSQL. Review questions and exercises complement each chapter to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available online and includes electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style. “I can only invite you to dive into the contents of the book, feeling certain that once you have completed its reading (or maybe, targeted parts of it), you will join me in expressing our gratitude to Alejandro and Esteban, for providing such a comprehensive textbook for the field of data warehousing in the first place, and for keeping it up to date with the recent developments, in this current second edition.” From the foreword by Panos Vassiliadis, University of Ioannina, Greece.

Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem

Author : Alex Khang
Publisher : CRC Press
ISBN 13 : 1000927741
Total Pages : 313 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem by : Alex Khang

Download or read book Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem written by Alex Khang and published by CRC Press. This book was released on 2023-10-09 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book offers insight into the healthcare system by exploring emerging technologies and AI-based applications and implementation strategies. It includes current developments for future directions as well as covering the concept of the healthcare system along with its ecosystem. Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem focuses on the mechanisms of proposing and incorporating solutions along with architectural concepts, design principles, smart solutions, decision-making process, and intelligent predictions. It offers state-of-the-art approaches for overall innovations, developments, and implementation of the smart healthcare ecosystem and highlights medical signal and image processing algorithms, healthcare-based computer vision systems, and discusses explainable AI (XAI) techniques for healthcare. This book will be useful to researchers involved in AI, IoT, Data, and emerging technologies in the medical industry. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.

Data Warehousing and Analytics

Author : David Taniar
Publisher : Springer Nature
ISBN 13 : 3030819795
Total Pages : 642 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Data Warehousing and Analytics by : David Taniar

Download or read book Data Warehousing and Analytics written by David Taniar and published by Springer Nature. This book was released on 2022-02-04 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data analytics; as well as the role that data warehousing plays in the data processing lifecycle. It also explains in detail how data warehouses may be used by data engines, such as BI tools and analytics algorithms to produce reports, dashboards, patterns, and other useful information and knowledge. The book is divided into six parts, ranging from the basics of data warehouse design (Part I - Star Schema, Part II - Snowflake and Bridge Tables, Part III - Advanced Dimensions, and Part IV - Multi-Fact and Multi-Input), to more advanced data warehousing concepts (Part V - Data Warehousing and Evolution) and data analytics (Part VI - OLAP, BI, and Analytics). This textbook approaches data warehousing from the case study angle. Each chapter presents one or more case studies to thoroughly explain the concepts and has different levels of difficulty, hence learning is incremental. In addition, every chapter has also a section on further readings which give pointers and references to research papers related to the chapter. All these features make the book ideally suited for either introductory courses on data warehousing and data analytics, or even for self-studies by professionals. The book is accompanied by a web page that includes all the used datasets and codes as well as slides and solutions to exercises.

OECD Digital Government Studies The Path to Becoming a Data-Driven Public Sector

Author : OECD
Publisher : OECD Publishing
ISBN 13 : 9264625275
Total Pages : 174 pages
Book Rating : 4.2/5 (646 download)

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Book Synopsis OECD Digital Government Studies The Path to Becoming a Data-Driven Public Sector by : OECD

Download or read book OECD Digital Government Studies The Path to Becoming a Data-Driven Public Sector written by OECD and published by OECD Publishing. This book was released on 2019-11-28 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report highlights the important role data can play in creating conditions that improve public services, increase the effectiveness of public spending and inform ethical and privacy considerations. It presents a data-driven public sector framework that can help countries or organisations assess the elements needed for using data to make better-informed decisions across public sectors.

Handbook of Dynamic Data Driven Applications Systems

Author : Frederica Darema
Publisher : Springer Nature
ISBN 13 : 3031279867
Total Pages : 937 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Handbook of Dynamic Data Driven Applications Systems by : Frederica Darema

Download or read book Handbook of Dynamic Data Driven Applications Systems written by Frederica Darema and published by Springer Nature. This book was released on 2023-10-16 with total page 937 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).

The Data Science Framework

Author : Juan J. Cuadrado-Gallego
Publisher : Springer Nature
ISBN 13 : 3030510239
Total Pages : 194 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis The Data Science Framework by : Juan J. Cuadrado-Gallego

Download or read book The Data Science Framework written by Juan J. Cuadrado-Gallego and published by Springer Nature. This book was released on 2020-10-01 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation of the information and knowledge gained to allow for easier assimilation by the reader. The contributed chapters are presented in sequence, each chapter picking up from the end point of the previous one. After the initial book and project overview, the chapters present the relevant data science competencies and body of knowledge, the model curriculum required to teach the required foundations, profiles of professionals in this domain, and use cases and applications. The text is supported with appendices on related process models. The book can be used to develop new courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines.

Designing Workforce Management Systems for Industry 4.0

Author : Alex Khang
Publisher : CRC Press
ISBN 13 : 1000923347
Total Pages : 376 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Designing Workforce Management Systems for Industry 4.0 by : Alex Khang

Download or read book Designing Workforce Management Systems for Industry 4.0 written by Alex Khang and published by CRC Press. This book was released on 2023-10-11 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings insight to the HR management system and offers data-centric approaches and AI-enabled applications for the design and implementation strategies used for workforce development and management. Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches focuses on the mechanisms of proposing solutions along with architectural concepts, design principles, smart solutions, and intelligent predictions with visualization simulation. Data visualization for the metrics of management systems and robotic process automation applications and tools are also offered. This book is also useful as a reference for those involved in AI-enabled applications, data analytics, data visualization, as well as systems engineering and systems designing.

Human-Centered Data Science

Author : Cecilia Aragon
Publisher : MIT Press
ISBN 13 : 0262543214
Total Pages : 201 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Human-Centered Data Science by : Cecilia Aragon

Evolution of STEM-Driven Computer Science Education

Author : Vytautas Štuikys
Publisher : Springer Nature
ISBN 13 : 3031482352
Total Pages : 368 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Evolution of STEM-Driven Computer Science Education by : Vytautas Štuikys

Download or read book Evolution of STEM-Driven Computer Science Education written by Vytautas Štuikys and published by Springer Nature. This book was released on 2024-01-01 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses the evolution of STEM-driven Computer Science (CS) Education based on three categories of Big Concepts, Smart Education (Pedagogy), Technology (tools and adequate processes) and Content that relates to IoT, Data Science and AI. For developing, designing, testing, delivering and assessing learning outcomes for K-12 students (9-12 classes), the multi-dimensional modelling methodology is at the centre. The methodology covers conceptual and feature-based modelling, prototyping, and virtual and physical modelling at the implementation and usage level. Chapters contain case studies to assist understanding and learning. The book contains multiple methodological and scientific innovations including models, frameworks and approaches to drive STEM-driven CS education evolution. Educational strategists, educators, and researchers will find valuable material in this book to help them improve STEM-driven CS education strategies, curriculum development, and new ideas for research.

Applied Data-Centric Social Sciences

Author : Aki-Hiro Sato
Publisher : Springer
ISBN 13 : 4431549749
Total Pages : 293 pages
Book Rating : 4.4/5 (315 download)

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Book Synopsis Applied Data-Centric Social Sciences by : Aki-Hiro Sato

Download or read book Applied Data-Centric Social Sciences written by Aki-Hiro Sato and published by Springer. This book was released on 2014-07-29 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and businesses with rich data. Specifically, in the social sciences, a vast amount of data on human activities may be useful for understanding collective human nature. In this book, the author introduces several mathematical techniques for handling a huge volume of data and analysing collective human behaviour. The book is constructed from data-oriented investigation, with mathematical methods and expressions used for dealing with data for several specific problems. The fundamental philosophy underlying the book is that both mathematical and physical concepts are determined by the purposes of data analysis. This philosophy is shown throughout exemplar studies of several fields in socio-economic systems. From a data-centric point of view, the author proposes a concept that may change people’s minds and cause them to start thinking from the basis of data. Several goals underlie the chapters of the book. The first is to describe mathematical and statistical methods for data analysis, and toward that end the author delineates methods with actual data in each chapter. The second is to find a cyber-physical link between data and data-generating mechanisms, as data are always provided by some kind of data-generating process in the real world. The third goal is to provide an impetus for the concepts and methodology set forth in this book to be applied to socio-economic systems.

AI in the Financial Markets

Author : Federico Cecconi
Publisher : Springer Nature
ISBN 13 : 3031265181
Total Pages : 140 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis AI in the Financial Markets by : Federico Cecconi

Download or read book AI in the Financial Markets written by Federico Cecconi and published by Springer Nature. This book was released on 2023-03-24 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is divided into two parts, the first of which describes AI as we know it today, in particular the Fintech-related applications. In turn, the second part explores AI models in financial markets: both regarding applications that are already available (e.g. the blockchain supply chain, learning through big data, understanding natural language, or the valuation of complex bonds) and more futuristic solutions (e.g. models based on artificial agents that interact by buying and selling stocks within simulated worlds). The effects of the COVID-19 pandemic are starting to show their financial effects: more companies in a liquidity crisis; more unstable debt positions; and more loans from international institutions for states and large companies. At the same time, we are witnessing a growth of AI technologies in all fields, from the production of goods and services, to the management of socio-economic infrastructures: in medicine, communications, education, and security. The question then becomes: could we imagine integrating AI technologies into the financial markets, in order to improve their performance? And not just limited to using AI to improve performance in high-frequency trading or in the study of trends. Could we imagine AI technologies that make financial markets safer, more stable, and more comprehensible? The book explores these questions, pursuing an approach closely linked to real-world applications. The book is intended for three main categories of readers: (1) management-level employees of companies operating in the financial markets, banks, insurance operators, portfolio managers, brokers, risk assessors, investment managers, and debt managers; (2) policymakers and regulators for financial markets, from government technicians to politicians; and (3) readers curious about technology, both for professional and private purposes, as well as those involved in innovation and research in the private and public spheres.