分化与共生——块数据在贫困治理场域中的数聚效应

Differentiation and Symbolism-Data Clustering Effect of Block Data in Poverty Alleviation

作为大数据的高阶形态,块数据是指具有高度关联性的各类数据在特定平台上的持续聚合。块数据克服了“条数据”指向性集聚所带来的数据孤岛、应用价值低、安全风险等问题,并通过关联性集聚有效回应了当前贫困治理场域中的时空分化问题。块数据能够通过贫困治理场域中的降维去噪、关联识别、融合重构等空间数聚共生效应有效提升精准识别、精准帮扶、精准管理的有效性和科学性;能够通过贫困治理时间轴上的后向数据回溯和前向数据预测等时间数聚共生功能打破贫困治理场域中的时间阻隔,以贫困人口美好生活为指向,有效发挥精准评估对贫困治理现在和未来的总结与预见。通过块数据在贫困治理场域中的数聚效应,以数据为血液的贫困治理有机体将得以形成,其不仅有效保障了我国扶贫脱贫的系统性、科学性、稳定性,更为乡村振兴以及人民美好生活的实现注入了数据新动能。

Block data, as high-order big data, refers to the constant aggregation of various data with high correlation on a specific platform. Block data have overcome the problems led by the directive aggregation of bar data, such as data island, low application value, risk of security, and it has effectively coped with the differentiation of time and space in the current poverty alleviation process through the correlative aggregation property of its own. Block data can come across the spatial gap in the poverty reduction process in an effective way through the mutualistic effect of spatial data aggregation in this field, to strengthen the efficacy and scientificity of precise identification, targeted support and accurate management. It can break the barrier of time in the poverty management field through forward and backward time data aggregation mutualism on the anti-poverty time shaft, so that precise evaluation can make a conclusion on the current situation of poverty management and its future for the sake of the wonderful life of those people in the poverty. Through the data effect of block data in poverty alleviation field, data can be taken as the blood to form an organic poverty management body, which can not only ensure the systematicness, scientificity, and stability of the poverty reduction in China but also imbue a digital driving force to the revitalization of countryside and the accomplishment of wonderful life.