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

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 freedomsAn in-depth analysis of open science, open data, open source software, and their future challengesA comprehensive review of data democracy's implications within domains such as: healthcare, space exploration, earth sciences, business, and psychologyThe democratization of Artificial Intelligence (AI), and data issues such as: Bias, imbalance, context, and knowledge extractionA systematic review of AI methods applied to software engineering problems

Section I The data republic 1. Data democracy for you and me (bias, truth, and context) 2. Data citizens: rights and responsibilities in a data republic 3. The history and future prospects of open data and open source software 4. Mind mapping in artificial intelligence for data democracy 5. Foundations of data imbalance and solutions for a data democracy

Section II Implications of a data democracy 6. Data openness and democratization in healthcare: an evaluation of hospital ranking methods 7. Knowledge formulation in the health domain: a semiotics-powered approach to data analytics and democratization 8. Landsat’s past paves the way for data democratization in earth science 9. 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 artificial intelligence in software engineering: a review challenging conventional wisdom