On the afternoon of September 14th, the research findings of “Big Data Targeted Poverty Alleviation Information System for Wuling Mountain Area” carried out by professors Zhu Rongbo, Wang Dejun and Song Zhongshan from College of Computer Science and Hefeng County was approved by the expert panel from Science and Technology Department of Hubei Province Government at SCUN academic exchange center. The expert panel consisted of 7 experts from Wuhan University, Huazhong University of Science and Technology and the Office of HuBei Provincial Poverty Alleviation and Development. Consultant Tian Zhikang and associate consultant Liu Lihua from the Research Result Division under the Science and Technology Department of Hubei Province Government, Hefeng County CPC Committee Member as well as the subprefect Qian Wenbin, Director of the Technology Bureau Yu Shaoli, Director of the Commerce Bureau Qin Daoqi, Deputy director of the Office of HuBei Provincial Poverty Alleviation and Development Zou Miao, SCUN Vice president Du Dongyun, and related department heads attended the meeting. Tian Zhikang hosted the meeting.
Du Dongyun, Vice President of SCUN, said that under the great support of Hubei Province Government, the Office of HuBei Provincial Poverty Alleviation and Development and many experts, SCUN’s College of Computer Science and Hefeng County implemented cooperation between university and government. SCUN makes full advantage of its strength in intelligent resources and research, helps Wuling mountain area to develop regional poverty alleviation program, promotes targeted poverty alleviation through driving industry development by technology, and makes positive explorations on the information management of targeted poverty alleviation, training of information professionals, and development of E-commerce industry in rural area. He hoped that the presenting experts could help provide more suggestions on the further implementation of this project.
During the evaluation meeting, the expert panel listened to their working report and technical research report on the project, and reviewed related materials. After full inquiries and discussion, the expert panel reached a conclusion that, focusing on Wuling mountain area, this project docks with our national targeted poverty alleviation strategy, and blazes a new way which is based on big data and integrates targeted poverty alleviation management, E-commerce industry poverty alleviation, intelligence poverty alleviation and society poverty alleviation. Making use of big data and mobile internet and focusing on Wuling mountain area, this project builds a targeted poverty alleviation information system and by means of which creates a new way and energy for the enhancement of poverty alleviation management work, the promotion of industry development, E-commerce industry poverty alleviation and intelligence poverty alleviation, and the in-depth docking of social resources and poverty alleviation demands, makes great contribution to the well-targeted identification, measures and efforts of local government’s poverty alleviation work, and attains outstanding economic and social benefits.
The expert panel all agreed that the research findings of this project have already reached advanced international levels, and they suggested that the project team members should make more efforts to commercialize research and development deliverables, promote their application, and make greater contribution to the poverty alleviation and economic and social development in Wuling mountain area.