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This volume contains working papers on astronomy and astrophysics prepared by 15 non-National Research Council panels in areas ranging from radio astronomy to the status of the profession.
Thirty or forty years ago, the phrase method and theory in Religious Studies scholarship referred to more social scientific approaches to the study of religion, as opposed to the more traditional theological hermeneutics common to the field. Today, however, it seems that everyone claims to do theory and method, including those people who shun social scientific approaches the academic study of religion. As a result, what does it mean to do theory and method in an era where the phrase has no distinct meaning? To help address this question, the North American Association for the Study of Religion (NAASR) addressed the issue of theory at its annual meeting in 2015. Based on what all agreed were productive and rigorous conversations, NAASR returned to the topic at its meeting a year later, where panelists and presenters discussed the issue of method. This volume is a collection of papers presented at the 2016 NAASR meeting, where panelists specifically addressed description, interpretation, comparison, and explanation in Religious Studies scholarship.
This book includes selected papers submitted to the ICADABAI-2017 conference, offering an overview of the new methodologies and presenting innovative applications that are of interest to both academicians and practitioners working in the area of analytics. It discusses predictive analytics applications, machine learning applications, human resource analytics, operations analytics, analytics in finance, methodology and econometric applications. The papers in the predictive analytics applications section discuss web analytics, email marketing, customer churn prediction, retail analytics and sports analytics. The section on machine learning applications then examines healthcare analytics, insurance analytics and machine analytics using different innovative machine learning techniques. Human resource analytics addresses important issues relating to talent acquisition and employability using analytics, while a paper in the section on operations analytics describe an innovative application in oil and gas industry. The papers in the analytics in finance part discuss the use of analytical tools in banking and commodity markets, and lastly the econometric applications part presents interesting banking and insurance applications.
A fundamental reassessment of the contribution of patenting to British industrialisation during the eighteenth and nineteenth centuries.
This proceedings volume aims to provide new research methods, theories and applications from various areas of applied economic research. Featuring papers from the 2016 International Conference on Applied Economics (ICOAE) organized by the University of Nicosia and the Western Macedonia University of Applied Sciences, this volume presents cutting edge research from all areas of economic science that use applied econometrics as the method of analysis. It also features country specific studies with specific economic policy analyses and proposals. Applied economics is a rapidly growing field of economics that combines economic theory with econometrics to analyse economic problems of the real world usually with economic policy interest. ICOAE is an annual conference started in 2008 with the aim to bring together economists from different fields of applied economic research in order to share methods and ideas. The goal of the conference and the enclosed papers is to allow for an exchange of experiences with different applied econometric methods and to promote joint initiatives among well-established fields likemacro- and microeconomics, international economics, finance, agricultural economics, health economics, education economics, international trade theory and management and marketing strategies. Featuring global contributions, this book will be of interest to researchers, academics, professionals and policy makers in the field of applied economics and econometrics.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.