Institution
Pratt Institute
Recent research
- Society & Economics
Case studies have long been the dominant methodological approach in critical urban theory. But reliance on case studies limits the ability to do systematically comparative research. One alternative is a turn toward data science in critical urban research. Such emerging methods ca...
- AI & ComputingOpen access
NeuroChrono: Dissociated Neural Encoding with ChronoGate for Brain-to-Video Diffusion
Reconstructing natural video viewed by a subject from non-invasive neural recordings is a challenging problem at the intersection of computational neuroscience and generative modelling. Existing brain-to-video methods encode multi-modal neural signals (typically fMRI together wit...
- AI & ComputingOpen access
ABSTRACT Despite the rapid uptake of black‐box object detectors in marine mammal research and monitoring, explainability techniques are rarely integrated into conservation workflows. Furthermore, most classification‐oriented explainability tools are ill‐suited to detection tasks...
- Engineering & TechnologyOpen access
The digital preservation of architectural heritage often remains limited to static documentation, with insufficient support for the structured analysis and contemporary reuse of decorative patterns. This study proposes a shape grammar-based digital approach for analyzing, generat...
- Society & EconomicsOpen access
Review: The Casual: Downplaying Art Since California Conceptualism
Book review of The Casual: Downplaying Art Since California Conceptualism by Jacob Stewart-Halevy. University of Chicago Press, January 2026. 352 p. ill. ISBN 978-0-226-84394-0 (h/c), $47.50. https://bookshop.org/a/107144/9780226843940.* Reviewed July 2026 by Sophia Albanis; MLIS...
- AI & ComputingOpen access
AutoEDA: Enabling EDA Flow Automation through Microservice-Based LLM Agents
Electronic Design Automation (EDA) remains heavily reliant on tool command language (Tcl) scripting to drive complex RTL-to-GDSII flows. This scripting-based paradigm is labor-intensive, error-prone, and difficult to scale across large design projects. Recent advances in large la...