In the last decade, the exponential increase in migration studies focusing on the mobility of groups and single individuals—mostly based on aDNA and strontium isotope analyses—has provided an important extra layer of information regarding past social dynamics. The current relatively large quantity of data and their constant increase provide an opportunity to examine human mobility in unprecedented detail. In short, the course of academic dialogue is changing from producing evidence for movement to examining differences or similarities in human mobilities across temporal and geographical barriers. Moreover, the amount and type of new data are beginning to provide new kinds of information that can help us grasp why that movement first came about. We present the first potential mobility model focusing on single individuals during different life stages based on in vivo movement patterns. We draw on previous studies in recent mobility research that provide a variety of case studies to illustrate the model. We hope that this model will prove valuable for future discussions regarding human mobility by integrating the present archaeological contextual discourse with the increasing body of data being produced.

Recent genetic, isotopic and linguistic research has dramatically changed our understanding of how the Corded Ware Culture in Europe was formed. Here the authors explain it in terms of local adaptations and interactions between migrant Yamnaya people from the Pontic-Caspian steppe and indigenous North European Neolithic cultures. The original herding economy of the Yamnaya migrants gradually gave way to new practices of crop cultivation, which led to the adoption of new words for those crops. The result of this hybridisation process was the formation of a new material culture, the Corded Ware Culture, and of a new dialect, Proto-Germanic. Despite a degree of hostility between expanding Corded Ware groups and indigenous Neolithic groups, stable isotope data suggest that exogamy provided a mechanism facilitating their integration. This article should be read in conjunction with that by Heyd (2017, in this issue).