This ethnography of everyday policing realities in the European ports of Rotterdam and Hamburg presents an understanding of policing spaces where protecting and supporting global commerce dominate. In undertaking this research, the author participated in the daily activities of 85 participants in Rotterdam (N=52) and Hamburg (N=33), consisting of 30 operational port police officers, 31 security officers, 10 customs officers and 14 others involved in port security-related matters (e.g. shipping agents, port authorities, boatmen and maritime engineers). These participants were collectively responsible for protecting the vulnerability of the just-in-time logistics by becoming the intervention, through which they become the very local threat to global commerce itself. A struggle that reveals itself in their (narrated) policing struggles with management, colleagues and multi-agency partners, as well as with the maritime business community and dangerous others.

In the field of policymaking, there is a growing need to take advantage of the opportunities that big data predictions offer. A strong point of big data is that the large amounts of data that are collected nowadays can be re-used to find new insights. However, for effective use in policymaking it is also important to take into account the relating limitations and challenges. For example, the quality of the data used can be a problem. Outdated data and data of which the semantics have changed, may result in predictions that are no longer correct. In addition, it is difficult to apply predictions to individual cases or people. In this article authors provide various practical recommendations for dealing with these problems. As long as people are aware of the limitations and handle the results with care, big data models can be a useful addition to traditional methods in the field of policymaking.