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Research Methodologies and Ethical Challenges in Digital Migration Studies
This Open Access book investigates the methodological and ethical dilemmas involved when working with digital technologies and large-scale datasets in relation to ethnographic studies of digital migration practices and trajectories. Digital technologies reshape not only every phase of the migration process itself (by providing new ways to access, to share and preserve relevant information) but also the activities of other actors, from solidarity networks to border control agencies. In doing so, digital technologies create a whole new set of ethical and methodological challenges for migration studies: from data access to data interpretation, privacy protection, and research ethics more genera...
Statistical Pattern Recognition
Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book h...
Guide to Mobile Data Analytics in Refugee Scenarios
After the start of the Syrian Civil War in 2011–12, increasing numbers of civilians sought refuge in neighboring countries. By May 2017, Turkey had received over 3 million refugees — the largest refugee population in the world. Some lived in government-run camps near the Syrian border, but many have moved to cities looking for work and better living conditions. They faced problems of integration, income, welfare, employment, health, education, language, social tension, and discrimination. In order to develop sound policies to solve these interlinked problems, a good understanding of refugee dynamics isnecessary. This book summarizes the most important findings of the Data for Refugees (D...
Transitioning to Good Health and Well-Being
Transitioning to Good Health and Well-Being addresses critical issues of health in the context of sustainability, which need to be tackled in order to achieve Agenda 2030. Acknowledging the dramatic improvements that have been made in the past decades with regards to health, we also face disparities that remain amongst and within countries. While life expectancy has more than doubled, we are, at the same time, confronted with the challenges that come along with population growth alongside environmental change, migration, ageing, and economic disparities. In its 2018 progress report concerning SDG 3, the UN stated that, while the quality of global health is increasing, “people are still suf...
A New Way to Age
At seventy-three years young, #1 New York Times bestselling author and health guru Suzanne Somers has established herself as a leading voice on antiaging. With A New Way to Age, she “is at the forefront again, bringing seminal information to people, written in a way that all can understand” (Ray Kurzweil, author of How to Create a Mind) with this revolutionary philosophy for a longer and better-quality life that will make you feel like you’ve just had the best checkup ever. There is a new way to age. I’m doing it and it’s the best decision I’ve ever made. I love this stage of my life: I have ‘juice,’ joy, wisdom, and perspective; I have energy, vitality, clearheadedness, and ...
The Long Haul
How survivors of the Covid-19 pandemic battling long-term disabling conditions are fighting for recognition and research—and helping to transform healthcare for many overlooked diseases. To the world’s public health authorities, Covid-19 would be either a deadly disease for some or a simple respiratory illness for most, its symptoms clearing up in just a matter of weeks. But then tens of millions around the world got sick and stayed sick. With scientists and doctors caught off guard, these Long Covid patients often found solace only with one another, organizing support groups across oceans and continents while ill in bed. In The Long Haul, CNN journalist Ryan Prior weaves his own life, t...
Fester
The mismanagement of the COVID-19 pandemic in California’s prisons stands out as the state’s worst-ever medical catastrophe in a carceral setting. Fester offers a cultural history of this correctional disaster through first-person accounts, courtroom observations, policy documents, and years of carefully collected quantitative data. Bearing witness to the immense suffering wrought on people behind bars through dehumanization, fear, and ignorance, Fester explains how carceral cruelty also threatens the health and well-being of all Californians. This book stands as a monument to the brave coalition of incarcerated and formerly incarcerated people and their loved ones, along with activists, doctors, journalists, and lawyers, who fought to shed light on one of the darkest times in the Golden State’s correctional system.
Death in Custody
"This work focuses on the stories of several individuals who died while in custody to illustrate the long history of policy and practice that at best provides toothless regulation (often unfunded, or without accountable parties), and at worst is officially dismissive of the human lives lost, deliberately making it harder to get to the truth. The authors also tell the stories of activists and journalists, who have often been the ones making the greatest effort to uncover the true scope of deaths in custody"--
Socio-Demographic Perspectives on the COVID-19 Pandemic
The present volume undertakes socio-demographic analyses of four major topics surrounding the COVID-19 pandemic: Data Issues; Statistical Modeling; Analyses; and Policy Concerns. Regarding Data Issues, three chapters cover topics about obtaining reliable information; the production of summary statistics and using the geometric mean; and the importance of using a Demographic framework in better understanding the COVID-19 pandemic. Statistical modeling is a second topic, and is covered by three chapters. To begin with, one approach centers on modeling local areas. A second chapter discusses and provides a simple method for estimating the number of unconfirmed COVID-19 cases in a local area; a ...
