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

  • Martijn van Otterlo Amsterdam Center for Business Analytics (ACBA), Data Science Alkmaar (DSA), KIN Research/FEWEB and Amsterdam Academic Alliance Data Science (AAA-DS) Vrije Universiteit Amsterdam, The Netherlands, http://martijnvanotterlo.nl

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. 

Published
2017-07-02
How to Cite
OTTERLO, Martijn van. Project BLIIPS: Making the Physical Public Library more Intelligent through Artificial Intelligence. Qualitative and Quantitative Methods in Libraries, [S.l.], v. 5, n. 2, p. 287-300, july 2017. ISSN 2241-1925. Available at: <http://qqml-journal.net/index.php/qqml/article/view/341>. Date accessed: 02 june 2020.