Full Product Details
Author: Feras A. Batarseh (Associate Professor, Department of Biological Systems Engineering at Virginia Tech (VT) USA) ,
Ruixin Yang (Associate Professor, College of Science, Geography and Geoinformation Services, George Mason University)
Publisher: Elsevier Science Publishing Co Inc
Imprint: Academic Press Inc
Weight: 0.540kg
ISBN: 9780128183663
ISBN 10: 0128183667
Pages: 266
Publication Date: 13 January 2020
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
Not sure what data democracy is? But your interest is piqued because it has sounds data in the title? Well, you should be interested and you'll understand the term well if you give Data Democracy a thorough read.The author claims the book to be a manifesto for data democracy, and it succeeds in that challenge. Everybody is part of the data republic and therefore needs to be aware of their data... who has access to it, how they got access to it, how it is being used, how it is protected, and more. In short, data democracy is the concept of sharing data instead of letting it be monopolized by a few large concerns. Of course, it is not quite that simple, so a book is needed... this book. If you consume or create data - and at this point who does not - you will benefit by reading Data Democracy. --Data and Technology Today
"""Not sure what data democracy is? But your interest is piqued because it has sounds “data in the title? Well, you should be interested and you’ll understand the term well if you give Data Democracy a thorough read.The author claims the book to be a manifesto for data democracy, and it succeeds in that challenge. Everybody is part of the “data republic and therefore needs to be aware of their data… who has access to it, how they got access to it, how it is being used, how it is protected, and more. In short, data democracy is the concept of sharing data instead of letting it be monopolized by a few large concerns. Of course, it is not quite that simple, so a book is needed… this book. If you consume or create data – and at this point who does not – you will benefit by reading Data Democracy."" --Data and Technology Today"
Author Information
Feras A. Batarseh is an Associate Professor with the Department of Biological Systems Engineering at Virginia Tech (VT) and the Director of A3 (AI Assurance and Applications) Lab. His research spans the areas of AI Assurance, Cyberbiosecurity, AI for Agriculture and Water, and Data-Driven Public Policy. His work has been published at various prestigious journals and international conferences. Additionally, Dr. Batarseh published multiple chapters and books, his two recent books are: ""Federal Data Science"", and ""Data Democracy"", both by Elsevier’s Academic Press. Dr. Batarseh is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), the Agricultural and Applied Economical Association (AAEA), and the Association for the Advancement of Artificial Intelligence (AAAI). He has taught AI and Data Science courses at multiple universities including George Mason University (GMU), University of Maryland - Baltimore County (UMBC), Georgetown University, and George Washington University (GWU). Dr. Batarseh obtained his Ph.D. and M.Sc. in Computer Engineering from the University of Central Florida (UCF) (2007, 2011), a Juris Masters of Law from GMU (2022), and a Graduate Certificate in Project Leadership from Cornell University (2016). He currently holds courtesy appointments with the Center for Advanced Innovation in Agriculture (CAIA), National Security Institute (NSI), and the Department of Electrical and Computer Engineering at VT. Ruixin Yang is an Associate Professor in the Department of Geography and GeoInformation Sciences (GGS) — College of Science at George Mason University (GMU), Fairfax, VA. He received his PhD in Aerospace Engineering from University of Southern California (USC) in 1990. His research work ranged from Fluid Dynamics to Astrophysics and General Relativity to Data Science, Information Systems, Data Mining, and Earth Systems Science. Dr. Yang led a software development team that built several prototypes for earth science information systems. His recent research is focused on data mining methods for hurricane-related earth science. He has published several referred papers on earth science data search, online analysis, metadata management, content-based search, and big data analytics.
