Mathematical Approaches to Understanding Democracy: Emerging Research and Opportunities

Mathematical Approaches to Understanding Democracy: Emerging Research and Opportunities

Noted as an IGI Global Core Reference Title in Government & Law for 2019.

Release Date: December, 2018|Copyright: © 2019 |Pages: 148
DOI: 10.4018/978-1-5225-7558-0
ISBN13: 9781522575580|ISBN10: 1522575588|EISBN13: 9781522575597
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Description & Coverage
Description:

The democratic system is understood and accepted as the fairest form of government in Western countries. Nevertheless, citizens tend to critique their democratically elected rulers.

Mathematical Approaches to Understanding Democracy: Emerging Research and Opportunities is an essential reference source that provides an analysis on the global political systems and provides insight on how to optimize government capabilities, citizen engagement, and educational systems. Using statistical concepts, it proposes algorithmic solutions to detect problems and provide improvement on democratic and non-democratic societies. Featuring research on topics such as political negligence, voter knowledge, political corruption, and democratic training, this book is ideally designed for governmental officials, policymakers, educators, statisticians, academicians, and researchers.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Democratic Training
  • Educational Democracy
  • Educational Models
  • Government
  • Optimal Decisions
  • Political Corruption
  • Political Negligence
  • Political Training
  • Private Interest
  • System Vulnerabilities
  • Voter Knowledge
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Editor/Author Biographies

Alberto Arteta is currently a Professor at Troy University Troy, AL since 2015. He also worked as a Professor at the Polytechnic University of Madrid, Spain (2007). Dr. Arteta‘s been teaching courses of Math and Computer Science since 2007. Before that, he worked in the private sector in 12 companies in the areas of Banking, Computer Science, Pharmaceutical, and others. He’s got his Bachelors in Mathematics (2000), his PhD in Computer Science (2010), and Master’s in Artificial Intelligence (2011). Dr. Arteta has 30 articles published in conferences and journals, some of them in the top quartile according to the impact factor of journal citation reports such as Engineering Applications of Artificial Intelligence, Soft Computing or the Journal of Computational Science. Arteta has shown particular interest in mathematical simulations in Applied Sciences such as Biology and Political Sciences.

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