This article draws on an ethnographic approach to concrete institutional practices and machine learning algorithms to analyse emergent proactive state geographies in London’s suburbs. The article assesses predictive modelling in housing enforcement in respect of the government of migrant housing precarity in the interstices of rentier and racial capitalism. The article develops two central contentions concerning these proactive state geographies. First, relations between geopolitics, the racialisation of urban space and algorithms need to be situated in relation to institutional state prosaics. ‘Connecting the dots’, a motif of post-9/11 pre-emptive securitisation, is located in suburban housing enforcement regimes corresponding to the politicisation of overcrowding, while the enactment of data-driven intelligence, including in raids, renews the border in these suburbs. Second, proactive technologies work through state data infrastructures. Geocoding, a technique of urban legibility designating the property grid, organises the algorithmic production of legality/illegality and consequently public health and housing futures in the digital city. While the analysis stems from a specific context, the article aims to contribute to interdisciplinary debates about politics, algorithms and state transformation spanning political, urban and digital geography and cognate fields.

本文利用具体制度实践和机器学习算法的人种学方法来分析伦敦郊区新兴的主动州地理。本文评估了在食利者和种族资本主义间隙中的移民住房不稳定政府的住房执法预测模型。这篇文章提出了关于这些积极主动的州地理的两个中心论点。首先，地缘政治、城市空间种族化和算法之间的关系需要与制度化的国家平庸相关。“连接点”是 9/11 后先发制人的证券化的主题，位于郊区住房执法制度中，与过度拥挤的政治化相对应，而数据驱动的情报的制定，包括突袭，更新这些郊区的边界。其次，主动技术通过国家数据基础设施发挥作用。地理编码是一种指定财产网格的城市易读性技术，组织合法/非法的算法生产，从而组织数字城市中的公共卫生和住房未来。虽然分析源于特定背景，但本文旨在为跨越政治、城市和数字地理学以及同源领域的政治、算法和国家转型的跨学科辩论做出贡献。