La colección presenta trabajos interdisciplinares que hacen uso de herramientas no solo humanistas sino también digitales para proponer enfoques inéditos sobre Literatura, Lingüística, Teoría Crítica y Filosofía en el espacio multicultural iberoamericano del siglo XXI. Las tres principales líneas de investigación - los corpus lingüísticos digitalizados, la lingüística experimental, y la relación entre Literatura, Crítica y Big Data - combinan el análisis de datos con un pensamiento crítico que trasciende el "dataísmo" y abre nuevas perspectivas (biopolítica, feminista y decolonial) en las Humanidades Digitales. The series presents interdisciplinary studies harnessing humanistic as well as digital tools to offer innovative approaches to literary studies, linguistics, critical theory and philosophy in the multicultural Ibero-American space of the 21st century. Its three principal lines of research - digital linguistic corpora, experimental linguistics, and the relation between literature, critique and big data - combine data analysis with critical thinking that transcends mere "dataism" and opens new (biopolitical, feminist, decolonial...) perspectives within Digital Humanities.

In recent decades, corpus linguistics has experienced tremendous development in the Hispanic world, along two opposite but complementary approaches: increase in corpus size (corpus linguistics as Big Data) and improvement in document selection and data annotation (corpus linguistics as High Quality Data). The first approach has led to the creation of massive corpora such as EsTenTen; at the same time, it has promoted the use of the web and social networks as corpora. The second perspective gives rise to specialized corpora such as Post Scriptum or Oralia Diacrónica del español (ODE). The contributions gathered in this volume combine both methods in order to exploit their advantages and to overcome their possible limitations. On the one hand, it addresses the creation and design of small corpora focused on data quality; on the other hand, it offers case studies that make use of both specialized corpora and massive data extracted from the web. Highlighting the complementary nature of both methods is the main idea of this book.

This book proposes an innovative conceptual framework to explore cultural organizations at a multilateral level and cultural mediators as key figures in cultural and institutionalization processes. Specifically, it analyzes the role of Ibero-American mediators in the institutionalization of Hispanic and Lusophone cultures in the first half of the 20th century by means of two institutional networks: PEN (the non-governmental writer’s association) and the International Institute of Intellectual Cooperation (predecessor to UNESCO). Attempting to combine cultural and global history, sociology, and literary studies, the book uses an analytical focus on intercultural networks and cultural transfer to investigate the multiple activities and roles that these mediators and cultural organizations set in motion. Literature has traditionally studied major figures and important centers of cultural production, but other regions and localities also played a crucial role in the development of intellectual cooperation. This book reappraises the place of Ibero-America in international cultural relations and retrieves the lost history of key secondary actors. The book will appeal to scholars from international relations, global and cultural history, sociology, postcolonial Studies, world and comparative literature, and New Hispanisms. The Open Access version of this book, available at http://www.taylorfrancis.com/books/e/9780429299407, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

A hemispheric view of the practice of digital humanities in the Spanish- and Portuguese-speaking Americas As digital media and technologies transform the study of the humanities around the world, this volume provides the first hemispheric view of the practice of digital humanities in the Spanish- and Portuguese-speaking Americas. These essays examine how participation and research in new media have helped configure identities and collectivities in the region. Featuring case studies from throughout Latin America, including the United States Latinx community, contributors analyze documentary films, television series, and social media to show how digital technologies create hybrid virtual spaces and facilitate connections across borders. They investigate how Latinx bloggers and online activists navigate governmental restrictions in order to connect with the global online community. These essays also incorporate perspectives of race, gender, and class that challenge the assumption that technology is a democratizing force. Digital Humanities in Latin America illuminates the cultural, political, and social implications of the ways Latinx communities engage with new technologies. In doing so, it connects digital humanities research taking place in Latin America with that of the Anglophone world. Contributors: Paul Alonso | Morgan Ames | Eduard Arriaga | Anita Say Chan | Ricardo Dominguez | Orlando Luis Pardo Lazo | Héctor Fernández L’Hoeste | Jennifer M. Lozano | Ana Lígia Silva Medeiros | Gimena del Río Riande | Juan Carlos Rodríguez | Isabel Galina Russell | Angharad Valdivia | Anastasia Valecce | Cristina Venegas A volume in the series Reframing Media, Technology, and Culture in Latin/o America, edited by Héctor Fernández L’Hoeste and Juan Carlos Rodríguez

As digital technologies occupy a more central role in working and everyday human life, individual and social realities are increasingly constructed and communicated through digital objects, which are progressively replacing and representing physical objects. They are even shaping new forms of virtual reality. This growing digital transformation coupled with technological evolution and the development of computer computation is shaping a cyber society whose working mechanisms are grounded upon the production, deployment, and exploitation of big data. In the arts and humanities, however, the notion of big data is still in its embryonic stage, and only in the last few years, have arts and cultural organizations and institutions, artists, and humanists started to investigate, explore, and experiment with the deployment and exploitation of big data as well as understand the possible forms of collaborations based on it. Big Data in the Arts and Humanities: Theory and Practice explores the meaning, properties, and applications of big data. This book examines therelevance of big data to the arts and humanities, digital humanities, and management of big data with and for the arts and humanities. It explores the reasons and opportunities for the arts and humanities to embrace the big data revolution. The book also delineates managerial implications to successfully shape a mutually beneficial partnership between the arts and humanities and the big data- and computational digital-based sciences. Big data and arts and humanities can be likened to the rational and emotional aspects of the human mind. This book attempts to integrate these two aspects of human thought to advance decision-making and to enhance the expression of the best of human life.

By the end of the 16th century, Europe, Africa, and Asia were connected to North and South America via a vast network of complex trade routes. This led, in turn, to dynamic cultural exchanges between these continents and a proliferation of diverse art forms in Latin America. This monumental book transcends geographic boundaries and explores the history of the confluence of styles, materials, and techniques among Europe, Africa, Asia, and the Americas through the end of the colonial era--a period marked by the independence movements, the formation of national states, and the rise of academic art. Written by distinguished international scholars, essays cover a full range of topics, including city planning, iconography in painting and sculpture, East-West connections, the power of images, and the role of the artist. Beautifully illustrated with some three hundred works--many published for the first time--this book presents a spectacular selection of decorative arts, textiles, silver, sculpture, painting, and furniture. Scholarly entries on each of the works highlight the various cultural influences and differences throughout this vast region. This groundbreaking book also includes an illustrated chronology, informative maps, and an exhaustive bibliography and is sure to set a new standard in the field of Latin American studies. --Publisher description.

This book is a wonderful collection of chapters that posits how managers need to cope in the Big Data era. It highlights many of the emerging developments in technologies, applications, and trends related to management’s needs in this Big Data era. —Dr. Jay Liebowitz, Harrisburg University of Science and Technology This book presents some meaningful work on Big Data analytics and its applications. Each chapter generates helpful guidance to the readers on Big Data analytics and its applications, challenges, and prospects that is necessary for organizational strategic direction. —Dr. Alex Koohang, Middle Georgia State University Big Data is a concept that has caught the attention of practitioners, academicians, and researchers. Big Data offers organizations the possibility of gaining a competitive advantage by managing, collecting, and analyzing massive amounts of data. As the promises and challenges posed by Big Data have increased over the past decade, significant issues have developed regarding how data can be used for improving management. Big Data can be understood as large amounts of data generated by the Internet and a variety of connected smart devices and sensors. This book discusses the main challenges posed by Big Data in a manner relevant to both practitioners and scholars. It examines how companies can leverage Big Data analytics to act and optimize the business. This book brings together the theory and practice of management in the era of Big Data. It offers a look at the current state of Big Data, including a comprehensive overview of both research and practical applications. By bringing together conceptual thinking and empirical research on the nature, meaning, and development of Big Data in management, this book unifies research on Big Data in management to stimulate new directions for academic investigation as well as practice.

The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect information for intelligent decision-making. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems. Data Analytics for Smart Cities brings together some of the most exciting new developments in the area of integrating advanced data analytics systems into smart cities along with complementary technological paradigms such as cloud computing and Internet of Things (IoT). The book serves as a reference for researchers and engineers in domains of advanced computation, optimization, and data mining for smart civil infrastructure condition assessment, dynamic visualization, intelligent transportation systems (ITS), cyber-physical systems, and smart construction technologies. The chapters are presented in a hands-on manner to facilitate researchers in tackling applications. Arguably, data analytics technologies play a key role in tackling the challenge of creating smart cities. Data analytics applications involve collecting, integrating, and preparing time- and space-dependent data produced by sensors, complex engineered systems, and physical assets, followed by developing and testing analytical models to verify the accuracy of results. This book covers this multidisciplinary field and examines multiple paradigms such as machine learning, pattern recognition, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, and expert systems. The book explores new territory by discussing the cutting-edge concept of Big Data analytics for interpreting massive amounts of data in smart city applications.

Data Analytics in Project Management. Data analytics plays a crucial role in business analytics. Without a rigid approach to analyzing data, there is no way to glean insights from it. Business analytics ensures the expected value of change while that change is implemented by projects in the business environment. Due to the significant increase in the number of projects and the amount of data associated with them, it is crucial to understand the areas in which data analytics can be applied in project management. This book addresses data analytics in relation to key areas, approaches, and methods in project management. It examines: • Risk management • The role of the project management office (PMO) • Planning and resource management • Project portfolio management • Earned value method (EVM) • Big Data • Software support • Data mining • Decision-making • Agile project management Data analytics in project management is of increasing importance and extremely challenging. There is rapid multiplication of data volumes, and, at the same time, the structure of the data is more complex. Digging through exabytes and zettabytes of data is a technological challenge in and of itself. How project management creates value through data analytics is crucial. Data Analytics in Project Management addresses the most common issues of applying data analytics in project management. The book supports theory with numerous examples and case studies and is a resource for academics and practitioners alike. It is a thought-provoking examination of data analytics applications that is valuable for projects today and those in the future.