With this article, I introduce the ‘algorithmic fix’ as a framework to analyze contemporary placemaking practices. I discuss how algorithmic practices of placemaking govern and control mobilities. I theorize such practices as the ‘algorithmic fix’, where location determination technologies, data practices, and machine learning algorithms are used together to ‘get a fix on’ our whereabouts with the aim of sorting and classifying both people and places. Through a case study of location intelligence, I demonstrate how these digital placemaking practices do not only control and prevent physical mobilities – they are designed to fix who we are and whom we may become with the aim of creating a predictable future. I focus on geo-profiling, geo-fencing, and predictive policing as three key aspects of location intelligence to present a discussion of how ‘algorithmic fix’ as a framework can provide valuable insights to analyzing contemporary placemaking practices.

在本文中，我将介绍“算法修复”作为分析当代场所制作实践的框架。我将讨论场所制作的算法实践如何控制和控制移动性。我对诸如“算法修复”之类的实践进行了理论化，其中将位置确定技术，数据实践和机器学习算法结合使用，以“对”我们的行踪进行“修复”，目的是对人和地点进行分类和分类。通过位置智能案例研究，我演示了这些数字场所制作实践不仅如何控制和防止身体活动-它们旨在固定我们是谁以及我们可能成为谁，目的是创造可预测的未来。我专注于地理剖析，地理围栏，