Data Democracy - Batarseh, Feras A.

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Auteur(s) : Batarseh, Feras A. - Yang, Ruixin

Editeur : Elsevier Inc

Langue : Anglais

Parution : 01/01/2020

Format : Moyen, de 350g à 1kg

Nombre de pages : 266

Expédition : 556

Dimensions : 23.5 x 19.2 x 14.0

ISBN : 0128183667

Résumé :

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.

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Biographie:

Section I The data republic1. Data democracy for you and me (bias, truth, and context)2. Data citizens: rights and responsibilities in a data republic3. The history and future prospects of open data and open source software4. Mind mapping in arti?cial intelligence for data democracy5. Foundations of data imbalance and solutions for a data democracy

Section II Implications of a data democracy6. Data openness and democratization in healthcare: an evaluation of hospital ranking methods7. Knowledge formulation in the health domain: a semiotics-powered approach to data analytics and democratization8. Landsat's past paves the way for data democratization in earth science9. Data democracy for psychology: how do people use contextual data to solve problems and why is that important for AI systems?10. The application of arti?cial intelligence in software engineering: a review challenging conventional wisdom

Sommaire:
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....