Since the beginning of the project, we have identified the case study to focus on, which is the recent Syrian asylum migration to Europe. We have started assembling the empirical evidence base for the model and completed a meta-data inventory, the first version of which is now available on the project website, and which provides important insights into the trade-offs between different quality aspects of data sources. The first version of the migration model has also been developed and tested, looking at the way in which information spread over social networks shapes the emergence and changes of migration routes. The preliminary results indicate that various aspects of information availability, exchange and reliability are crucial for the formation and persistence of migratory routes. In parallel, we have designed and executed the first round of psychological experiments, focusing on the role of risk and loss aversion in migration and financial contexts, which have now been completed, and indicate similarities between the two contexts. The computational side of the project was devoted to a parallel implementation of the first version of the model in a domain specific language, and on designing a formal description of their provenance, highlighting the differences between different modelling formalisms, and their implications for model-building. Finally, the dissemination highlight during the first 24 months was a successful organisation of a workshop on Uncertainty and Complexity of Migration, held at the British Academy in London on 20-21 November 2018, including project-related talks, short contributed presentations, a public lecture, as well as a policy and practitioner panel and discussion.