Research Article
Big Data Used for Accurately Subsidize Research and Practice in University
@INPROCEEDINGS{10.4108/eai.6-1-2023.2330303, author={Bin Xu}, title={Big Data Used for Accurately Subsidize Research and Practice in University}, proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China}, publisher={EAI}, proceedings_a={BDEDM}, year={2023}, month={6}, keywords={big data precise subsidize from universities}, doi={10.4108/eai.6-1-2023.2330303} }- Bin Xu
Year: 2023
Big Data Used for Accurately Subsidize Research and Practice in University
BDEDM
EAI
DOI: 10.4108/eai.6-1-2023.2330303
Abstract
Targeted subsidize in colleges and universities is a concrete practice of the thought of "targeted poverty alleviation" in the field of colleges and universities, which provides a new concept and path for improving the precision of poverty alleviation in colleges and universities. Big data has the advantages of information collection and analysis, which can provide sufficient information for funders, provide a factual basis for the diversification of subsidize forms, and provide technical conditions for the improvement of subsidize efficiency. In order to realize the goal of optimizing the precise subsidize mode of colleges and universities, we should focus on the integrity of the system, under the guidance of the system theory thought, pay attention to the internal coordination, and construct the theoretical model and institutional innovation from four aspects: framework design, institutional guarantee, technical path and linkage mechanism.