Toward a computational immigration assistant
In the face of global change and impending limits on various resources, the need for people to move across borders is likely to increase. Facilitating mobility could enable people to access resources more effectively, and thereby reduce suffering for both humans and other species. This paper proposes the need for computational support to facilitate immigration decisions across a range of scales, from the individual to the community to the national government. Drawing inspiration from global systems modeling, social networking, and collaborative filtering, these computational tools would help match up individuals and communities seeking to emigrate with potential host countries, based on the preferences of both.
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