Data Democracy : At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering

Batarseh, Feras A. (EDT); Yang, Ruixin (EDT)

ISBN 10: 0128183667 / ISBN 13: 9780128183663

Published by Academic Press, 2020

About this Item

Seller Inventory # 38639063-n

Bibliographic Details

• Title: Data Democracy : At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering
• Publisher: Academic Press
• Publication Date: 2020
• Language: English
• ISBN 10: 0128183667
• ISBN 13: 9780128183663
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Data Democracy: At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering provides a manifesto to data democracy. After reading the chapters of this book, you are informed and suitably warned! You are already part of the data republic, and you (and all of us) need to ensure that our data fall in the right hands. Everything you click, buy, swipe, try, sell, drive, or fly is a data point. But who owns the data? At this point, not you! You do not even have access to most of it. The next best empire of our planet is one who owns and controls the world’s best dataset. If you consume or create data, if you are a citizen of the data republic (willingly or grudgingly), and if you are interested in making a decision or finding the truth through data-driven analysis, this book is for you. A group of experts, academics, data science researchers, and industry practitioners gathered to write this manifesto about data democracy.

• The future of the data republic, life within a data democracy, and our digital freedoms
• An in-depth analysis of open science, open data, open source software, and their future challenges
• A comprehensive review of data democracy's implications within domains such as: healthcare, space exploration, earth sciences, business, and psychology
• The democratization of Artificial Intelligence (AI), and data issues such as: Bias, imbalance, context, and knowledge extraction
• A systematic review of AI methods applied to software engineering problems

About the Author

Feras A. Batarseh is a Research Assistant Professor with the College of Science at George Mason University (GMU), Fairfax, VA and a Teaching Assistant Professor with the Data Analytics Program at Georgetown University, Washington, D.C.

His research and teaching span the areas of Data Science, Artificial Intelligence, and Context-Aware Software Systems. Dr. Batarseh obtained his PhD and MSc in Computer Engineering from the University of Central Florida (UCF) (2007, 2011) and a Graduate Certificate in Project Leadership from Cornell University (2016). His research work has been published at various prestigious journals and international conferences. Additionally, Dr. Batarseh published and edited several book chapters. He is the author and editor of Federal Data Science , another book by Elsevier's Academic Press. Dr. Batarseh has taught data science and software engineering courses at multiple universities including Georgetown, GMU, UCF, The University of Maryland, Baltimore County (UMBC), as well as George Washington University (GWU).