Optimization of the Subject Layout of Soft Scientific Research in Power Grid Enterprises
- DOI
- 10.2991/978-94-6239-777-4_29How to use a DOI?
- Keywords
- Overseas Regions; UHV DC; Construction Management; Experience Analysis
- Abstract
Soft science research refers to research activities that aim to achieve scientific and democratic decision-making and comprehensively use multi-category and multi-disciplinary knowledge, such as natural science, social science and engineering technology to provide support for major decisions in science, technology, economic and social development. National strategies, industry supervision, technological changes, economic transformation, social demands, global landscape, etc. have formed systematic requirements for the optimization of the layout of soft science research disciplines in power grid enterprises. This study takes the soft science research of State Grid Corporation of China as an example, analyzes the main directions of soft science topic selection, and proposes an overall idea for optimizing the layout of soft science subjects to provide support for high-quality management of soft science topics in power grid enterprises.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Liyu Xia AU - Lanjun Xu AU - Wan He AU - Yan Chang PY - 2026 DA - 2026/09/30 TI - Optimization of the Subject Layout of Soft Scientific Research in Power Grid Enterprises BT - Proceedings of the 2026 8th International Conference on Economic Management and Cultural Industry (ICEMCI 2026) PB - Atlantis Press SP - 257 EP - 263 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-777-4_29 DO - 10.2991/978-94-6239-777-4_29 ID - Xia2026 ER -