Big Data Analytics Lab

The Big Data Analytics Lab (BDaL), is an interdisciplinary research laboratory, that focuses on large-scale data analytics problems that arise in different application domains and disciplines. One of the primary focus of our lab is to investigate an alternative computational paradigm that involves "humans-in-the-loop" for large-scale analytics problems. These problems arise at different stages in a traditional data science pipeline (e.g., data cleaning, query answering, ad-hoc data exploration, or predictive modeling), as well as from emerging applications. We study optimization opportunities that come across because of this unique man-machine collaboration and address data management and computational challenges to enable large-scale analytics with humans-in-the-loop. Our focus domains are social networks, healthcare, climate science, retail and business, and spatial data.