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.
If you are interested in this project, feel free to contact us!
This Fall 2017, an updated group of contributors will be putting work into moving this important project forward.
Over the course of the summer, the continuing project group completed an immense amount of work, transcribing important data from ~500 document files. We still have another ~400 to go, but the progress that has been made has allowed us to identify information patterns. These patterns help us to begin to imagine the future of our online interface, as well as comprehend the social (Human Face) implications inherent to better understanding the raw data (of Big Data) that we have collected.
For the rest of 2017, we will be splitting the project into 4 major break-out groups.
- Web Development & System Administration
- Database Design & Management
- Digital Archivism & User Experience Design
- Project Management & User Needs Study
Check back each week as we plan to provide project updates, to keep you posted on our progress.
DCIC Project Showcase
We will be presenting our progress & findings in a showcase alongside other DCIC projects on December 4th, 2017 @ Hornbake from 4:30-6:30.