Abstract
In life science, strong needs for big data analysis and its related data-oriented methodologies such as AI (Artificial Intelligence) are acutely increasing in the recent years. These needs are recognized in not only medical sciences but also other disciplines in which genomic information plays a crucial role in understanding phenomena of interest and in conducting their innovative application to practical usages in the society. It eventually leads us to significant implication that our society will have undergone totally new experiences with enormous benefits from various advancements by research and development of genome information. On the basis of such observations, I would like to propose a future vision of our society as a “Genome-Information-Oriented Society (G-Society)” or “Genomic Information Society”.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Gojobori, T. (2018). Toward the Genomic-Information Society. In: Mehmood, R., Bhaduri, B., Katib, I., Chlamtac, I. (eds) Smart Societies, Infrastructure, Technologies and Applications. SCITA 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 224. Springer, Cham. https://doi.org/10.1007/978-3-319-94180-6_19
Download citation
DOI: https://doi.org/10.1007/978-3-319-94180-6_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94179-0
Online ISBN: 978-3-319-94180-6
eBook Packages: Computer ScienceComputer Science (R0)