Duke’s trailblazing MS in Digital Art History and Computational Media trains scholars to crunch, code, and curate. Students use AI object-detection on colonial photo archives, build AR tours overlaying lost frescoes, and deploy blockchain for provenance validation. Collaborations with the Nasher Museum turn research into immersive public exhibitions that democratize art knowledge.
Deep-learning clustering of Impressionist brushstroke patterns
3-D photogrammetric reconstruction of destroyed heritage sites
Interactive timeline of feminist art collectives mapped via graph DB
NFT-based micro-patronage model for indigenous artists
Sentiment dashboard tracking museum-visitor social-media posts
AR projection reviving lost murals in Renaissance chapels
Text-mining artist letters to trace pigment trade routes
VR archive exploring queer futurisms in digital art
Crowdsourced app annotating public monuments with counter-histories
Machine-vision detection of forgeries in print collections
Open-access repository of computer-vision pipelines for art data
Blockchain smart-contract ensuring artist resale royalties
Data-viz of art-auction prices and geopolitical events
Serious game teaching children about color theory using AR
Blend art insight and code craft to reimagine visual culture at Duke.
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