Synopsis
African economies can benefit tremendously from the new wave of digital innovation and information technology by using it to build and maintain sustainable systems. However, the gap in the theory and practice of providing these solutions remains poorly understood and difficult to fill. Only by addressing this gap head-on can it be traversed to the greater benefit of African citizens. Digital Solutions and the Case for Africa's Sustainable Development is a pivotal reference source that presents existing technologies and their relevant solutions and further inspires inventions and innovation to provide sustainable solutions to African problems. Highlighting a wide range of topics including artificial intelligence, cryptocurrency, and digital identity, this book is ideally designed for government officials, public officials, computer engineers, economists, IT specialists, entrepreneurs, researchers, academicians, and students.
À propos des auteurs
Albert Ong’uti Maake , Ph.D., is a lecturer in the Department of Economics, University of Lay Adventist of Kigali, Rwanda (UNILAK) where he has taught since 2017. He earned his BSc in Computer Science from Spicer Adventist University, Pune, India. He received his M.A. degree in Economics and Ph.D. in Economics from Tilak Maharashtra Vidyapeeth Pune, India. Albert’s main research focus is in Economic Welfare Policy, Rural Development, Foreign Direct Investment in Developing countries, Transport Economics, Development Economics, and Applied Computing. Under his mentorship, his team from the Department of Economics, UNILAK were the winners of the Monetary Policy Challenge competition of the National Bank of Rwanda for the year 2020.
Benard Magara Maake is a technology enthusiast. He holds a master of science in computer science (M.Sc.) and a bachelor of computer applications (BCA) from Periyar University, Salem, India. He works at Kisii University in the Department of Computing Sciences where he lectures and conducts research. His areas of interest include but are not limited to the following: Data Mining, Machine Learning, Natural Language Processing, Software Engineering, and Design, etc. He has submitted his doctoral thesis for examination at the Tshwane University of Technology Department of computer systems engineering, Pretoria, South Africa, where he has been a doctoral student and researcher for the past five years.
Fredrick Mzee Awuor is a Computer Scientist with vast experience in Social Networks, human-centered Computing, Wireless Communications, and Data Engineering. His research interests are in Human-Centric Computing, Network Economics, Incentive Design, and Data Analytics. He has PhDs in Social Network and Human-Centered Computing, and in Business and Information Systems from Academia Sinica and Nationa Chengchi University (both in Taiwan), and Jaramogi Oginga Odinga University of Science and Technology (Kenya). He has MSc. in Electrical Systems and MTech in Electrical Engineering from French South African Institute of Technology and Tshwane University of Technology (both in South Africa), and a BSc in Computer Science from Moi University (Kenya).
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