Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
Migration scholars in the United States (U.S.) study how migration patterns within the country relate to characteristics of migrant origins and destinations, such as political leanings or educational attainment. However, few tools exist for experts to visualize these relationships and easily share insights with students or other interested members of the general public. This data thus remains largely inaccessible to potentially interested non-experts. In this work, we present a system called Robin for visualizing U.S. county-to-county migration data in conjunction with other county-level attributes, designed to be used by experts as a communication aid or by non-experts as an exploratory tool. User studies with migration domain experts and non-experts show promising results in our efforts to support and engage both user groups.
Recommended Citation
Bendeck, Alexander; Andris, Clio; and Stasko, John, "Robin: An Interactive Visualization System and Instructional Tool to Democratize United States Domestic Migration Data" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 2.
https://aisel.aisnet.org/hicss-58/li/impacts/2
Robin: An Interactive Visualization System and Instructional Tool to Democratize United States Domestic Migration Data
Hilton Waikoloa Village, Hawaii
Migration scholars in the United States (U.S.) study how migration patterns within the country relate to characteristics of migrant origins and destinations, such as political leanings or educational attainment. However, few tools exist for experts to visualize these relationships and easily share insights with students or other interested members of the general public. This data thus remains largely inaccessible to potentially interested non-experts. In this work, we present a system called Robin for visualizing U.S. county-to-county migration data in conjunction with other county-level attributes, designed to be used by experts as a communication aid or by non-experts as an exploratory tool. User studies with migration domain experts and non-experts show promising results in our efforts to support and engage both user groups.
https://aisel.aisnet.org/hicss-58/li/impacts/2