Data science: a game changer for science and innovation

This paper shows data science’s potential for disruptive innovation in science, industry, policy, and people’s lives. We present how data science impacts science and society at large in the coming years, including ethical problems in managing human behavior data and considering the quantitative expe...

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Bibliographic Details
Published inInternational journal of data science and analytics Vol. 11; no. 4; pp. 263 - 278
Main Authors Grossi, Valerio, Giannotti, Fosca, Pedreschi, Dino, Manghi, Paolo, Pagano, Pasquale, Assante, Massimiliano
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.05.2021
Subjects
A Social Mining and Big Data Ecosystem for Open
Artificial Intelligence
Business Information Systems
Computational Biology/Bioinformatics
Computer Science
Data Mining and Knowledge Discovery
Database Management
Regular Paper
Responsible Data Science
Research infrastructure
Social mining
Responsible data science
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ISSN2364-415X
2364-4168
DOI10.1007/s41060-020-00240-2

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Summary:This paper shows data science’s potential for disruptive innovation in science, industry, policy, and people’s lives. We present how data science impacts science and society at large in the coming years, including ethical problems in managing human behavior data and considering the quantitative expectations of data science economic impact. We introduce concepts such as open science and e-infrastructure as useful tools for supporting ethical data science and training new generations of data scientists. Finally, this work outlines SoBigData Research Infrastructure as an easy-to-access platform for executing complex data science processes. The services proposed by SoBigData are aimed at using data science to understand the complexity of our contemporary, globally interconnected society.
ISSN:2364-415X
2364-4168
DOI:10.1007/s41060-020-00240-2