Academic context
RAI-Next is suitable for university and research workflows that need transparent methods, country profiles, index comparison, and clear data downloads.
Prototype using demonstration data. Final scores will be replaced by computed RAI-Next results.
About
RAI-Next is designed as an academic observatory for exploring how rural populations connect to services, opportunities, and infrastructure.
The platform presents a modern web interface for a future global Rural Accessibility Index that combines road-network distance calculations, rural population weighting, open service-location data, and dimension-level scoring.
RAI-Next is suitable for university and research workflows that need transparent methods, country profiles, index comparison, and clear data downloads.
The current site uses fake demonstration scores. Final country and indicator values should be generated by the RAI-Next calculation pipeline and dropped into the same data folder.
Team information is loaded from public/data/team_members.json so project members can be added without changing page code.
Principal Investigator / Proje Yürütücüsü
Institution placeholder
Add the lead researcher's short biography, research area, and project responsibility here.
Proje yürütücüsünün kısa özgeçmişi, araştırma alanı ve proje sorumluluğu buraya eklenebilir.
lead@example.eduResearcher / Araştırmacı
Institution placeholder
Add team member details, institutional affiliation, and contribution to the RAI-Next workflow.
Ekip üyesi bilgileri, kurum bağlantısı ve RAI-Next iş akışına katkısı buraya eklenebilir.
researcher@example.edu