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

Authors

  • 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

Keywords:

digitalization, artificial intelligence, library use, data analytics, intelligent algorithms, sensors, libraryness, physical-digital continuum, public library

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. 

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Published

2017-07-02

Issue

Vol. 5 No. 2 (2016): June 2016 Issue

Section

Articles

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