We study the migration and behavior adoption patterns of agents situated in geographically distributed communities. We consider agents with two types of states or opinions, binary and continuous. Agents either probabilistically adopt the predominant state in their community or migrate to another community more supportive of their state. We observe an interesting range of emerging population pat...

This is a study of migration responses to climate shocks. We construct an agent-based model that incorporates dynamic linkages between demographic behaviors, such as migration, marriage, and births, and agriculture and land use, which depend on rainfall patterns. The rules and parameterization of our model are empirically derived from qualitative and quantitative analyses of a well-studied demo...

Understanding human migration is of great interest to demographers and social scientists. User generated digital data has made it easier to study such patterns at a global scale. Geo coded Twitter data, in particular, has been shown to be a promising source to analyse large scale human migration. But given the scale of these datasets, a lot of manual effort has to be put into processing and get...

Among demographic events (birth, death, and migration), migration is notably the most volatile component to forecast accurately. Accounting for forced even more challenging given difficulty in collecting data. Knowledge of trends patterns its future trajectory is, however, highly relevant policy planning migrant sending receiving areas. This paper aims review existing methodological tools estim...