The iHub Research Data Science & Visualisation Lab was designed to provide data support and resources to iHub Research projects while at the same time providing an avenue for consultancy services on the innovative use of data and technology. The Data Lab was especially focused on working on the data life cycle from data collection, data storage, and analysis, data visualization. The Data Lab, like the iHub Research Build Lab, was unique in its approach to both develop as well as study the process of developing machine learning technologies. This approach emerged from lessons learned over time at iHub Research and required a diverse team that included computer engineers, experts in servers and data storage, graphic designers, and social scientists.
This PECE essay helps to answer the STS Across Borders analytic question: “What people, projects, and products exemplify how this STS formation has developed over time?
This essay is part of a broader exhibit on iHub Research.