Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations. Features: Takes an accessible, hands-on approach to handling new types of data in the social sciences Presents the key data science tools in a non-intimidating way to both social and data scientists while keeping the focus on research questions and purposes Illustrates social science and data science principles through real-world problems Links computer science concepts to practical social science research Promotes good scientific practice Provides freely available workbooks with data, code, and practical programming exercises, through Binder and GitHub New to the Second Edition: Increased use of examples from different areas of social sciences New chapter on dealing with Bias and Fairness in Machine Learning models Expanded chapters focusing on Machine Learning and Text Analysis Revamped hands-on Jupyter notebooks to reinforce concepts covered in each chapter This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner.

Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In order to achieve this goal, researchers must have access to this data - raising important privacy questions. What are the ethical and legal requirements? What are the rules of engagement? What are the best ways to provide access while also protecting confidentiality? Are there reasonable mechanisms to compensate citizens for privacy loss? The goal of this book is to answer some of these questions. The book's authors paint an intellectual landscape that includes legal, economic, and statistical frameworks. The authors also identify new practical approaches that simultaneously maximize the utility of data access while minimizing information risk.

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations. Features: Takes an accessible, hands-on approach to handling new types of data in the social sciences Presents the key data science tools in a non-intimidating way to both social and data scientists while keeping the focus on research questions and purposes Illustrates social science and data science principles through real-world problems Links computer science concepts to practical social science research Promotes good scientific practice Provides freely available workbooks with data, code, and practical programming exercises, through Binder and GitHub New to the Second Edition: Increased use of examples from different areas of social sciences New chapter on dealing with Bias and Fairness in Machine Learning models Expanded chapters focusing on Machine Learning and Text Analysis Revamped hands-on Jupyter notebooks to reinforce concepts covered in each chapter This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner.

Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In order to achieve this goal, researchers must have access to this data - raising important privacy questions. What are the ethical and legal requirements? What are the rules of engagement? What are the best ways to provide access while also protecting confidentiality? Are there reasonable mechanisms to compensate citizens for privacy loss? The goal of this book is to answer some of these questions. The book's authors paint an intellectual landscape that includes legal, economic, and statistical frameworks. The authors also identify new practical approaches that simultaneously maximize the utility of data access while minimizing information risk.

This volume of The ANNALS outlines the infrastructures that will need to be built to make sure data providers and empirical researchers can best serve national policy needs. The volume is organized around three topics: privacy and confidentiality, data providers, and comprehensive strategies.

Jackie and her husband, Travis, are living the American dream. With a nice three-bedroom home in the suburbs, a swimming pool, and two beautiful sons, their family life is just about perfect. Then the unthinkable happens. Travis is killed in a tragic accident, and soon Jackie can no longer afford the suburban lifestyle. With her two boys, Jackie moves to Baker Street in Greensboro, North Carolina. Even though it's located in the Hamptons, a low-income housing area, Jackie is determined to raise her boys with all the advantages she can give them. She soon finds, however, that things work a little differently on this side of town. Gangs, drugs, and violence become routine in their lives, and Jackie tries desperately to find a way out. Jackie is not alone, either. Other families want out, too, but financial hardships and disabilities keep them where they are. With her husband gone and her spirit crying for peace, Jackie becomes a one-woman army, determined to stand up to the thugs and criminals who want to ruin the neighborhood and everyone in it. Such bravery doesn't come without a price, though, as Jackie is about to find out.

Jackie and her husband, Travis, are living the American dream. With a nice three-bedroom home in the suburbs, a swimming pool, and two beautiful sons, their family life is just about perfect. Then the unthinkable happens. Travis is killed in a tragic accident, and soon Jackie can no longer afford the suburban lifestyle. With her two boys, Jackie moves to Baker Street in Greensboro, North Carolina. Even though it's located in the Hamptons, a low-income housing area, Jackie is determined to raise her boys with all the advantages she can give them. She soon finds, however, that things work a little differently on this side of town. Gangs, drugs, and violence become routine in their lives, and Jackie tries desperately to find a way out. Jackie is not alone, either. Other families want out, too, but financial hardships and disabilities keep them where they are. With her husband gone and her spirit crying for peace, Jackie becomes a one-woman army, determined to stand up to the thugs and criminals who want to ruin the neighborhood and everyone in it. Such bravery doesn't come without a price, though, as Jackie is about to find out.

In simple children's terms this is the story of the big bang and the development of life on earth and the story of recycling energy.

This cross-disciplinary collection considers the intersection of affect and mothering, with the aim of expanding both the experiential and theoretical frameworks that guide our understanding of mothering and of theories of affect. It brings together creative, reflective, poetic, and theoretical pieces to question, challenge, and re-conceptualize mothering through the lens of affect, and affect through the lens of mothering. The collection also aims to explore less examined mothering experiences such as failure, disgust, and ambivalence in order to challenge normative paradigms and narratives surrounding mothers and mothering. The authors in this collection demonstrate the theoretical and practical possibilities opened up by a simultaneous consideration of affect and mothering, thereby broadening our understanding of the complexities and nuances of the always changing experiences of world-making.