Sociotechnical Approaches in the Era of Data Science and AI

Supervised learning shows that we can succeed, despite the obvious (theoretical and/or practical) risks, in using data to find pattern useful to solve specific problems with

Specifically, through this thesis, I evaluate the need for, the process, the impact and the outcomes of a technology mediated citizen science initiative aiming at

It’s the Juxtaposition of Big Data – AI - and Human Research – Fully Integrated: Really difficult to attest to meaningful free and informed consent, to protect personal

The main application domains that data mining can support in the field of information science include personalized environments, electronic commerce, and search engines.. Table

Key issues, adapted from [Thomas and Cook 2005], to be addressed when developing methods, techniques and tools for Big data analytics are: (a) definition of intelligent

One is the print media, including newspapers, periodicals, books, and posters and so on, which is the important way to spread scientific thinking, advocate scientific methods,

Key issues, adapted from [Thomas and Cook 2005], to be addressed when developing methods, techniques and tools for Big data analytics are: (a) definition of intelligent

To this end, we ran Data Science Machine with fully automated feature genera- tion (Deep Feature Synthesis), feature selection, machine learning, and model tuning.. There is no