Springer Dynamic Profiles for Voting Advice Applications: An Implementation for the 2017 Ecuador National Elections (Fuzzy Management Methods)

Electronic participation is an emerging and growing research area that makes use of internet solutions to enhance citizens' participation in government processes in order to provide a fair and efficient society. This book examines recommender-system technologies and voting advice applications as tools to enable electronic citizen participation during election campaigns. Further, making use of fuzzy classification, it provides an evaluation framework for eParticipation. A dynamic voting advice application developed for the 2017 Ecuador national election serves as a real-world case study to introduce readers to the practical implementation and evaluation issues. The book concludes with a comprehensive analysis of the 2017 election project based on altmetrics, Google Analytics and statistics from the case study.   Review “This is a well-written book that provides lot of necessary insights to readers. The methods and techniques used to implement VAAs will continue to evolve and improve. In this context, I encourage the author to think about the next edition of this book.” (Varadraj Gurupur, Computing Reviews, August 21, 2020) From the Back Cover Electronic participation is an emerging and growing research area that makes use of internet solutions to enhance citizens' participation in government processes in order to provide a fair and efficient society. This book examines recommender-system technologies and voting advice applications as tools to enable electronic citizen participation during election campaigns. Further, making use of fuzzy classification, it provides an evaluation framework for eParticipation. A dynamic voting advice application developed for the 2017 Ecuador national election serves as a real-world case study to introduce readers to the practical implementation and evaluation issues. The book concludes with a comprehensive analysis of the 2017 election project based on altmetrics, Google Analytics and statistics from the case study. About the Author Luis Terán (1979) received the BSc degree in electronics and telecommunications from Escuela Politécnica Nacional (EPN), Quito, Ecuador, in 2004, the MSc degree in communication systems from the Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 2009, and the PhD and habilitation degrees in computer science from the University of Fribourg. He is currently working as a senior researcher in cognitive computing at the Human-IST Institute, University of Fribourg, Switzerland, and as an academic guest in the Department of Political Science at the University of Zurich. He also has been appointed full professor at Universidad de Las Fuerzas Armadas (ESPE), Ecuador. His research interests include eGovernment, eParticipation, eCollaboration, eDemocracy, eElection, eVoting, eCommunities, recommender systems, and fuzzy classification. He is currently a board member for the IEEE e-Government Special Technical Community, the program chair and main organizer for the International Conference on eDemocracy and eGovernment (ICEDEG), an editorial board member at the Cooperative Perspective Journal, a guest editor at the Transactions on Emerging Topics in Computing Journal, and a distinguished exhibitor at IEEE Ecuador Section.