Contemporary Issues in Business, Economics and Finance
Contemporary Issues in Business, Economics and Finance

Author: Simon Grima

Publisher: Emerald Group Publishing

Published: 2020-09-02

Total Pages: 232

ISBN-13: 1839096063

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Contemporary Studies in Economic and Financial Analysis (CSEF 104) dedicates 16 chapters in articles and studies on Contemporary Issues of Business Economics and Finance. Authors contributed from the International Applied Social Science Congress, held in Turkey.

Science and Engineering Careers in the United States
Science and Engineering Careers in the United States

Author: Richard B. Freeman

Publisher: University of Chicago Press

Published: 2009-08-01

Total Pages: 405

ISBN-13: 0226261905

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Beginning in the early 2000s, there was an upsurge of national concern over the state of the science and engineering job market that sparked a plethora of studies, commission reports, and a presidential initiative, all stressing the importance of maintaining American competitiveness in these fields. Science and Engineering Careers in the United States is the first major academic study to probe the issues that underlie these concerns. This volume provides new information on the economics of the postgraduate science and engineering job market, addressing such topics as the factors that determine the supply of PhDs, the career paths they follow after graduation, and the creation and use of knowledge as it is reflected by the amount of papers and patents produced. A distinguished team of contributors also explores the tensions between industry and academe in recruiting graduates, the influx of foreign-born doctorates, and the success of female doctorates. Science and Engineering Careers in the United States will raise new questions about stimulating innovation and growth in the American economy.

Knowledge Sharing among Scientists
Knowledge Sharing among Scientists

Author: P. Ensign

Publisher: Springer

Published: 2008-12-08

Total Pages: 233

ISBN-13: 0230617131

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Explores the relationship between social characteristics of scientists and the interpersonal sharing of technological knowledge. The findings illuminate attributes of reputation conducive to the voluntary transfer of timely, relevant, technological knowledge among individual R&D scientists in the same multidivisional, multinational firm.

Data Science for Economics and Finance
Data Science for Economics and Finance

Author: Sergio Consoli

Publisher: Springer Nature

Published: 2021

Total Pages: 357

ISBN-13: 3030668916

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This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.