The World Health Organization (WHO) ranks vaccine hesitancy in the top-10 global threats to health. While the global spread of vaccine hesitancy is a complicated phenomenon, no method predicts which countries are most vulnerable to this hesitancy. Opinion dynamics models have great potential to recognise the countries where public opinion tends to be vulnerable or resistant. However, even though many successful models exist, only a few of them rely on empirical data. This project (funded by the Marie Curie Individual Fellowship action) will establish an innovative method to reconstruct social network information from common data types and to provide a tool that identifies societies keen to adopt vaccine hesitancy opinion.