"政策找人"精准发力，五年新增就业18.87万人，帮扶5万余困难群众 在农村劳动力就业方面，东营推进行业、就业、创业、职业、乐业"五业联动"，帮助农民增收致 富。广饶县、河口区等率先开展相关改革试点，同时加大对农民工创业的融资支持，累计发放创业担保 贷款4.7亿元，并举办返乡创业大赛，营造良好氛围。 东营民生画卷越绘越暖心 寒冬时节，东营民生改善的故事，正以最温暖的方式书写。从家门口热气腾腾的"幸福蒸坊"，到老 年大学里其乐融融的笑语欢歌；困境中及时伸来的援手，到孩子们眼中重新点亮的光彩……这座城市正 用"政策找人"的主动、"服务到家"的细致与"众人拾柴"的合力，精心绘制一幅覆盖就业、养老、救助的 全方位民生画卷。 暖心服务铺就就业路 近日，在东营经济技术开发区锦华社区的"共富工坊"里，居民付绍芳正低头细心地为顾客修改一条 裤脚，手边叠放着几件待缝补的衣物。共富工坊不仅设有"缝纫角"，还提供公益理发、物业维修、社区 团购等服务，成为居民解决日常琐事的"便民服务站"。 这一便利又暖心的场景，源自锦华社区针对居民就业与生活需求打造的"家门口"就业服务模 式。"在家门口就能干活，不耽误接送孩子、照顾老人，每月还能增 ...

Core Viewpoint - The article highlights the implementation of a "Smart Assistance" platform in Dongying, which utilizes big data to proactively identify and assist vulnerable populations, transforming the social assistance process from passive applications to active discovery and streamlined services [1][2][3] Group 1: Smart Assistance Platform - The "Smart Assistance" platform integrates data from 12 departments and 46 categories, setting up intelligent warning rules for situations like sudden drops in household income and excessive medical expenses [2] - The platform allows for the combination of 14 high-frequency assistance items, enabling users to access multiple forms of aid without resubmitting documents [2] Group 2: Community Engagement and Support - A dedicated team called "Yingguangxing" has been established to actively discover cases among vulnerable groups, conducting thorough checks within a 15-minute service radius [2] - Community service points have been set up where grid workers assist elderly and disabled individuals with application processes, ensuring a "zero-run" experience for those in need [3] Group 3: Streamlined Application Process - The introduction of a comprehensive service window in towns allows for collaborative processing of applications, eliminating the need for repetitive income and asset verification [3] - The policy of "first aid, then documentation" ensures that families facing sudden hardships receive timely assistance [3] Group 4: Future Developments - Dongying plans to deepen the construction of the smart assistance system, expanding service scenarios and enhancing governance efficiency in social assistance [3]