Group 1 - The core viewpoint of the articles highlights the efforts of the Xinjiang Production and Construction Corps (兵团) in enhancing social welfare services through innovative approaches, particularly the integration of big data and grassroots outreach to address the diverse needs of the community [1][2] Group 2 - The implementation of the "big data + foot patrol" service model aims to improve the accuracy and efficiency of social assistance, addressing issues of information asymmetry and service precision [1] - A total of 765 teams have been formed to conduct regular outreach, resulting in 3,229 visits covering 113,000 households, which facilitates early identification of potential difficulties faced by residents [1] - The "one-stop acceptance, collaborative processing" service mechanism allows residents to submit a single application, streamlining the process and reducing the need for multiple visits to different departments [2] - The integration of basic living assistance policies with medical, educational, and housing policies enhances the overall support system for vulnerable populations [2] - Personalized support services, including psychological counseling and skill enhancement, have benefited over 4,800 individuals, demonstrating a commitment to tailored assistance [2] - The proactive discovery mechanism for social assistance has led to the inclusion of 990 new low-income individuals and 160 individuals in extreme difficulty, along with 1,973 instances of temporary assistance, improving resource allocation efficiency and fairness [2]
兵团依托“大数据+铁脚板”织密民生救助保障网
Xin Lang Cai Jing·2025-12-19 18:23