Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

Strategy to Improve Scientific and Technological Innovation Capacity

Authors
Li Yang, Feng Qian
Corresponding Author
Li Yang
Available Online May 2017.
DOI
10.2991/ammsa-17.2017.63How to use a DOI?
Keywords
scientific and technological innovation; required human qualities; innovative talents
Abstract

Human beings are the key of technical innovation, therefore higher requirements is necessary to achieve ambitious goal of improving scientific and technological innovation capacity.This article puts forwards six required human qualities based on the development of society and some cases. Then, some key abilities and qualities talents should possess are pointed out. Finally, suggestions about how to improve innovation quality of talents are presented from four aspects: creativity training, continuous education, incentive strategies and innovative inputs.All analysis would make scientific and technological innovation smoother in the direction of being beneficial to human beings and society.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
May 2017
ISBN
978-94-6252-355-5
ISSN
1951-6851
DOI
10.2991/ammsa-17.2017.63How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Li Yang
AU  - Feng Qian
PY  - 2017/05
DA  - 2017/05
TI  - Strategy to Improve Scientific and Technological Innovation Capacity
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 282
EP  - 285
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.63
DO  - 10.2991/ammsa-17.2017.63
ID  - Yang2017/05
ER  -