UNC’s MA in Information Science fuses human–computer interaction, data ethics, and sociotechnical systems design. Students code semantic-web ontologies, deploy cloud ETL pipelines, and audit algorithmic bias in research-data repositories. The DigIn Lab partners with NASA, Wikimedia, and local governments, allowing cohorts to create FAIR data infrastructures that boost discovery and civic transparency. Emphasis on participatory design ensures marginalized voices shape information futures.
Knowledge-graph integrating climate datasets for interdisciplinary research
Accessibility audit of e-government portals with redesign prototypes
Machine-learning tool predicting metadata quality issues in repositories
Mobile app crowd-sourcing local history anecdotes with geotags
Policy brief on synthetic data sharing for health informatics
Workshop series teaching elementary students data-literacy basics
Blockchain prototype for scholarly peer-review transparency
NLP pipeline extracting grant impacts from NSF award abstracts
Digital preservation plan for community radio audio reels
UX study comparing dark-mode preferences across demographics
Ethnography of data stewards in citizen-science projects
Grant proposal for Indigenous data sovereignty capacity building
Dashboard monitoring open-access compliance in faculty publications
Infographic mapping patent citation networks in clean energy
White paper on algorithmic accountability in public-library AI
VR tutorial for librarians on 3-D object metadata standards
Open-source toolkit automating FAIR compliance reports
Podcast interviewing whistle-blowers on data-governance failures
Blend technical skill and ethical vision to steward data for public good.
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