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Dynamic Profiles for Voting Advice Applications: An Implementation for the 2017 Ecuador National Elections de Luis Terán

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

Autor Luis Terán
en Limba Engleză Paperback – 25 aug 2020
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.  
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Specificații

ISBN-13: 9783030240929
ISBN-10: 3030240924
Pagini: 167
Ilustrații: XXIII, 167 p. 75 illus., 66 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.28 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Fuzzy Management Methods

Locul publicării:Cham, Switzerland

Cuprins

Part I: Motivation and Objectives.- Part II: Background.- Part III: Conceptual Framework.- Part IV: Implementation and Evaluation.- Part V: Conclusions. 

Recenzii

“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)

Notă biografică

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. 

Textul de pe ultima copertă

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.​

Caracteristici

IIntroduces voting advice applications, including the state-of-the art and their design Presents a conceptual framework for the design of dynamic profiles for voting advice applications Provides a comprehensive case study based on the 2017 national elections in Ecuador