UNC’s research-oriented MSIS equips data architects and UX scientists to build semantic web services, trustworthy AI, and inclusive extended-reality interfaces. Students benchmark vector search engines, audit bias in LLM-powered discovery layers, and design participatory taxonomies with marginalized communities. A dual-degree path with Computer Science deepens algorithmic expertise.
Vector-database retrieval plugin for multilingual archives
Eye-tracking study optimizing AR wayfinding in libraries
Differential-privacy toolkit for student learning analytics
Blockchain audit log for peer-review transparency
Ontology mapping climate-adaptation research outputs
Chatbot prototype guiding first-gen students to campus services
Sentiment analysis of oral-history transcripts for exhibit curation
Policy memo on data cooperatives and platform accountability
Grant proposal for community wireless mesh documentation hub
Workshop on algorithmic literacy for public librarians
White paper on XR accessibility standards
Interactive dashboard tracking open-access mandates compliance
Podcast interviewing data stewards on Indigenous knowledge systems
VR tutorial teaching metadata standards through immersive labs
Federated search portal integrating museum and archive APIs
Blend technical mastery and human-centered design to steward knowledge equity.
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