Reconstructing old neighborhoods using big archival data

Welcome to the blog of Human Face of Big Data! This project aims to build big data platforms to archive documents about urban renewal projects from 1970s, provide easy-to-use interfaces that can be used by old residents, archival scientists, and citizens, and ultimately reconstruct the digitized neighborhoods where people can see, read, and share their memories.

This project is two folds: (1) exploring map-based archiving and visualizing techniques, and (2) providing thorough data throughout the urban renewal processes by integrating various kinds of databases and navigation tools. For the map-based archiving and visualizations,  we are currently developing digitizing processes using QGIS, ArcGIS, and other geographical/graphical tools to better present old maps and associated information on online platforms. Also, user-centered UI design methods are used to develop user-friendly interfaces.

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If you are interested in this project, feel free to contact us!

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Priscilla’s Award Ceremony at UNCA

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