This book explores the political, social and cultural consequences of COVID-19 through a corpus of over 15.000 articles published in Spain and Latin America in the first pandemic year. Organized around four epistemic fields (geopolitics, gender, biopolitics, philosophy and culture), the contributions offer a quantitative and qualitative analysis combining Big Data tools and humanistic thought.
During the first mandatory lockdowns of the Covid-19 pandemic, citizens worldwide turned to »pandemic fictions« or started to produce their own »Corona Fictions« across different media. These accounts of (previously) experienced or imagined health crises feature a great variety of protagonists and their (re)actions in response to the exceptional circumstances. The contributors to this volume take a closer look at different pandemic protagonists in fictional narratives relating to the Covid-19 pandemic as well as in existing pandemic fictions. Thereby they provide new insights into pandemic narratives from a cultural, literary, and media studies perspective from antiquity to today.
Deleuzo-Guattarian philosophy provides crucial insights for assessing the post-neoliberal era in this cutting-edge volume of anti-capitalist scholarship. It maps the critical new assemblages emerging out of decades of neoliberalism to diagnose contemporary and future discontent. Working alongside other forms of inquiry into the post-neoliberal era, the volume proposes a novel combination of ethics and Deleuzo-Guattarian philosophy to understand the post-neoliberal era. Contributors argue that current critiques of neoliberalism ignore the determining role of colonialism and the accelerated threat of climate breakdown. They highlight the precariousness of our planetary existence and propose new forms of inquiry into Deleuzo-Guattarian becoming. Deleuze, Guattari and the Schizoanalysis of Post-Neoliberalism considers new modes of capitalism, societies built on exhaustion, digital power, education, agroforestry, as well as literary texts that characterise the post-neoliberal era. Alongside these critical positions, the volume uses an ethical framework to challenge dialectical divisions in neoliberal critique. In the process, the essays remap the antagonisms, discontents and tensions of current post-neoliberal becoming.
The book delves into constitutional essays focused on Latin America, with a particular emphasis on Peru. It explores legal theories surrounding the development of human rights, rooted in constitutional pluralism. Drawing from the insights gathered by organizations within the Inter-American Human Rights System, notably the Court and the Commission, this examination extends to its impact on local judicial bodies, including the Judiciary and notably the Constitutional Court. These efforts aim to protect traditional civil and political rights alongside social rights. However, the work also addresses the ongoing challenge of safeguarding emerging rights, such as fundamental digital and environmental rights, while bolstering protections for vulnerable populations like migrants and the LGBTQ+ community. By adopting a holistic approach, the book aspires to serve as a valuable resource for academics, experts, students, and professionals engaged in the study and practice of Latin American Constitutionalism.
The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.
An illuminating, indispensable analysis of a watershed moment and its possible aftermath. For people and governments around the world, the onset of the COVID-19 pandemic seemed to place the preservation of human life at odds with the pursuit of economic and social life. Yet this naive alternative belies the complexity of the entanglements the crisis has created and revealed not just between health and wealth but also around morality, knowledge, governance, culture, and everyday subsistence. Didier Fassin and Marion Fourcade have assembled an eminent team of scholars from across the social sciences to reflect on the myriad ways SARS-CoV-2 has entered, reshaped, or exacerbated existing trends and structures in every part of the globe. The contributors show how the disruptions caused by the pandemic have both hastened the rise of new social divisions and hardened old inequalities and dilemmas. An indispensable volume, Pandemic Exposures provides an illuminating analysis of this watershed moment and its possible aftermath.
A practical guide to data-intensive humanities research using the Python programming language The use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials. Despite this growth, there are few resources addressed to students and scholars who wish to take advantage of these powerful tools. Humanities Data Analysis offers the first intermediate-level guide to quantitative data analysis for humanities students and scholars using the Python programming language. This practical textbook, which assumes a basic knowledge of Python, teaches readers the necessary skills for conducting humanities research in the rapidly developing digital environment. The book begins with an overview of the place of data science in the humanities, and proceeds to cover data carpentry: the essential techniques for gathering, cleaning, representing, and transforming textual and tabular data. Then, drawing from real-world, publicly available data sets that cover a variety of scholarly domains, the book delves into detailed case studies. Focusing on textual data analysis, the authors explore such diverse topics as network analysis, genre theory, onomastics, literacy, author attribution, mapping, stylometry, topic modeling, and time series analysis. Exercises and resources for further reading are provided at the end of each chapter. An ideal resource for humanities students and scholars aiming to take their Python skills to the next level, Humanities Data Analysis illustrates the benefits that quantitative methods can bring to complex research questions. Appropriate for advanced undergraduates, graduate students, and scholars with a basic knowledge of Python Applicable to many humanities disciplines, including history, literature, and sociology Offers real-world case studies using publicly available data sets Provides exercises at the end of each chapter for students to test acquired skills Emphasizes visual storytelling via data visualizations
Media Activism in the Digital Age captures an exciting moment in the evolution of media activism studies and offers an invaluable guide to this vibrant and evolving field of research. Victor Pickard and Guobin Yang have assembled essays by leading scholars and activists to provide case studies of feminist, technological, and political interventions during different historical periods and at local, national, and global levels. Looking at the underlying theories, histories, politics, ideologies, tactics, strategies, and aesthetics, the book takes an expansive view of media activism. It explores how varieties of activism are mediated through communication technologies, how activists deploy strategies for changing the structures of media systems, and how governments and corporations seek to police media activism. From memes to zines, hacktivism to artivism, this volume considers activist practices involving both older kinds of media and newer digital, social, and network-based forms. Media Activism in the Digital Age provides a useful cross-section of this growing field for both students and researchers.
Qualitative synthesis within the family of systematic reviews meets an urgent need to use knowledge derived from qualitative studies to inform practice, research, and policy. Despite the contingent nature of evidence gleaned from synthesis of qualitative studies, systematic synthesis is an important technique and, used judiciously, can deepen understanding of the contextual dimensions that emerge from qualitative research. This pocket guide presents an overview for planning, developing, and implementing qualitative synthesis within existing protocols and guidelines for conducting systematic reviews. The authors also explore methodological challenges, including: the philosophical tensions of integrating qualitative synthesis within the family of systematic reviews; the balance of comprehensive and iterative information retrieval strategies to locate and screen qualitative research; the use of appraisal tools to assess quality of qualitative studies; the various approaches to synthesize qualitative studies, including interpretive, integrated, and aggregative; and the tensions between the generalizability and transferability of findings that emerge from qualitative synthesis. Social work researchers, educators, and doctoral students who are interested in systematic reviews will find the step-by-step format of this book invaluable for conducting their reviews, both in the form of rapid evidence assessments and in high-quality critical reviews.
