Project BLIIPS: Making the Physical Public Library more Intelligent through Artificial Intelligence

Abstract

This paper reports on the underlying motivations of the ongoing project BLIIPS to make public libraries more intelligent by data-driven optimization. Four key developments are described which drive the approach: data gathering in physical spaces using sensors, retail approaches in current public libraries, intelligent algorithms for data analysis and experimentation with data-driven strategies. I highlight these developments to arrive at the final target: data-driven, experimental, physical, public library innovation.