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Museums and Interactive Virtual Learning
Museums and Interactive Virtual Learning provides informal educators with practical resources that will help them to build dynamic digital engagement experiences within their own cultural organizations. Presenting vignettes from experienced museum educators and end users, as well as scientific data and practical resources, the book highlights the mutual benefits that Interactive Virtual Learning (IVL) programs offer to the museum and those visiting from a distance.Chapters mirror the step-by-step process of developing reputable IVL programs and emphasize how important it is for cultural organizations to encourage cross-departmental collaboration, if they wish to ensure that their programs align with the overall goals of the organization.Providing a thorough overview of the technologies, budget, marketing and staff requirements, the authors offer a realistic depiction of the work involved in building content for digital engagement.Emphasizing the importance of assessing existing programming, the book shows how institutions can adapt content to fit a virtual format and create inclusive digital engagement opportunities that reach local, national, and international audiences. Museums and Interactive Virtual Learning is an essential guide for professionals who are tasked with interpreting the content of a cultural organization and building lasting digital engagement opportunities.It will be particularly useful to those looking to reach diverse audiences.
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Interactive Visual Data Analysis
In the age of big data, being able to make sense of data is an important key to success.Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data. The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods.It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes.The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data.A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways.Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis.The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis. The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology.Many real-world examples and rich illustrations make the book accessible to a broad interdisciplinary audience from students, to experts in the field, to practitioners in data-intensive application domains. Features:Dedicated to the synthesis of visual, interactive, and analysis methodsSystematic top-down view on visualization, interaction, and automatic analysisBroad coverage of fundamental and advanced visualization techniquesComprehensive chapter on interacting with visual representationsExtensive integration of automatic computational methodsAccessible portrayal of cutting-edge visual analytics technologyForeword by Jack van WijkFor more information, you can also visit the author website, where the book's figures are made available under the CC BY Open Access license.
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The Enterprise Data Catalog : Improve Data Discovery, Ensure Data Governance, and Enable Innovation
Combing the web is simple, but how do you search for data at work?It's difficult and time-consuming, and can sometimes seem impossible.This book introduces a practical solution: the data catalog.Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance. Author Ole Olesen-Bagneux explains the benefits of implementing a data catalog.You'll learn how to organize data for your catalog, search for what you need, and manage data within the catalog.Written from a data management perspective and from a library and information science perspective, this book helps you:Learn what a data catalog is and how it can help your organizationOrganize data and its sources into domains and describe them with metadataSearch data using very simple-to-complex search techniques and learn to browse in domains, data lineage, and graphsManage the data in your company via a data catalogImplement a data catalog in a way that exactly matches the strategic priorities of your organizationUnderstand what the future has in store for data catalogs
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Statistics : Learning from Data
Learn how to think like a statistician with Peck/Case's STATISTICS: LEARNING FROM DATA, 3rd Edition.This updated edition addresses common obstacles to learning based on the latest research for mastering statistics and probability.The authors use proven methods to carefully explain areas where you are most likely to struggle -- probability, hypothesis testing and selecting an appropriate method of analysis.You strengthen your conceptual understanding, procedural fluency and ability to put knowledge into practice with this edition's learning objectives, real-data examples, updated exercises and technology notes.WebAssign digital resources and Cengage's Statistical Analysis and Learning Tool (SALT) are also available to guide you in thinking statistically.SALT is an easy-to-use data analysis tool that allows you to manipulate data sets in order to visualize statistics and gain a deeper conceptual understanding about the meaning behind the data.
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The Green and Virtual Data Center
The Green and Virtual Data Center sets aside the political aspects of what is or is not considered green to instead focus on the opportunities for organizations that want to sustain environmentally-friendly economical growth.If you are willing to believe that IT infrastructure resources deployed in a highly virtualized manner can be combined with other technologies to achieve simplified and cost-effective delivery of services in a green, profitable manner, this book is for you.Savvy industry veteran Greg Schulz provides real-world insight, addressing best practices, server, software, storage, networking, and facilities issues concerning any current or next-generation virtual data center that relies on underlying physical infrastructures.Coverage includes: Energy and data footprint reductionCloud-based storage and computingIntelligent and adaptive power managementServer, storage, and networking virtualizationTiered servers and storage, network, and data centersEnergy avoidance and energy efficiencyMany current and emerging technologies can enable a green and efficient virtual data center to support and sustain business growth with a reasonable return on investment.This book presents virtually all critical IT technologies and techniques to discuss the interdependencies that need to be supported to enable a dynamic, energy-efficient, economical, and environmentally-friendly green IT data center.This is a path that every organization must ultimately follow.Take a tour of the Green and Virtual Data Center website. CRC Press is pleased to announce that The Green and Virtual Data Center has been added to Intel Corporation’s Recommended Reading List.Intel’s Recommended Reading program provides technical professionals a simple and handy reference list
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Technologies, Innovation, and Change in Personal and Virtual Learning Environments
Over the last decade there continues to be an increase in the technology and how it affects our lives.Since then the incorporation of electronic databases and other communication tools for students, faculty and staff, virtual learning environments have become an important innovation in the student learning experience. Technologies, Innovation, and Change in Personal and Virtual Learning Environments presents a widespread collection of research on the growth, innovation and implementation of learning technologies for educators, technologists and trainers.The book is a useful source for academics and professionals interested in information and communication technologies.
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Data-Driven Innovation in the Creative Industries
The creative industries – the place where art, business, and technology meet in economic activity – have been hugely affected by the relatively recent digitalisation (and often monetisation) of work, home, relationships, and leisure.Such trends were accelerated by the global COVID-19 pandemic.This edited collection examines how the creative industries can be supported to make best use of opportunities in digital technology and data-driven innovation. Since digital markets and platforms are now essential for revenue generation and audience engagement, there is a vital need for improved data and digital skills in the creative and cultural sectors.Taking a necessarily global perspective, this book explores the challenges and opportunities of data-driven approaches to creativity in different contexts across the arts, cultural, and heritage sectors.Chapters reach beyond the platforms and approaches provided by the technology sector to delve into the collaborative work that supports innovation around the interdisciplinary and cross-sectoral issues that emerge where data infrastructures and approaches meet creativity. A novel intervention that uniquely centres the role of data in the theory and practice of creative industries’ innovation, this book is valuable reading for those researching and studying the creative economy as well for those who drive investment for the creative industries in a digitalised society. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 International license.
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Data Dating : Love, Technology, Desire
What does it mean to love with technology? Does data improve our emotional interactions? The collection approaches the query with critical essays and works of new media art to look into the construction of love and its practices in the time of digitally mediated relationships.With expertise coming from recognized researchers, critics and artists in the field of media and cultural studies, it analyses relationship trends and affect cultures that have emerged from technological acceleration. Data Dating: Love, Technology and Desire is a comprehensive study of love and intimacy under digitalism that reflects on the structure of feeling(s) and libido environments in the high-tech and media-bound landscapes of contemporary technocracies. Organized around ten chapters and ten works of new media art, the collection offers an extensive critical analysis of technologized romance (and other emotional relations), as well as provides an insight into the codification, execution, deployment, and evolution of the patterns of togetherness in the so-called Tamagotchi era. The chapters engage in the problems of new material planes that have emerged from the abstraction of networked communication and dispersion of traditional notions of physicality.They close-read the templates of contemporary fantasy, fetish and eroticism, as shaped by platform capitalism, datafication, and new commodity cultures, in which self-promotion for bonding relies on the new possibilities that are coming in with new media self-mediation formats.Central to the analysis is the carbon-silicon dynamics of love’s contemporary DNA and libidinal techne – practiced in the environment where screens, interfaces, algorithms, data protocols and non-organic objects of affection and affect delineate, organize and program the trajectories of encounter, limerence and erotic pleasure.All the chapters are authored by recognized researchers in the field of love, emotion, media, technology and cultural studies, and they critically explore various aspects of love/intimacy under technocracy, approaching them with expertise the goes beyond the typical high-modernist and post-structural reading of the media-ridden life practices and environments. More importantly, the collection includes landmark works of new media art coming from prominent new media artist gathered around 'Data Dating' – new media art exhibition, curated by Valentina Peri (co-editor of the collection) and presented in Paris, Tel Aviv and London.As such, the collection proffers a unique and original critical approach – one that combines artistic practice and cultural criticism – to comment upon the transformation of human relationships and emotional standards under technological development with reference to the social change and cultural condition. The collection of essays, each accompanied by a work of media art, that provides a comprehensive insight into the construction of love and its practices in the time of digitally mediated relationships. Primary readership will be among educators, researcher and students in disciplines including cultural studies, media and communications, philosophy, sociology, psychology and gender, LGBTQ+ and sexual studies.It will be an extremely valuable resource for those in these fields. It will be of interest to other groups including art curators, online platform designers, social media content managers and designers and data specialists.
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