Future Library Lab (FLL): ReadWriteCode

In order to address developments in the areas of text analysis and artificial intelligence (AI) the University Library has formed an interdisciplinary team, named the Future Library Lab (FLL). This has created the opportunity to experiment with the application of machine learning (ML) to library data and other datasets, with and without humans in the loop.


The Future Library Lab prepares the transformation of university library services, build on existing metadata, to services build on added layers of metadata mined by computer-assisted content analysis of digital assets.

This will enable and facilitate the access of EUR research results for researchers, students, and the general public.

Services and collaborations

Research sprints

The Future Library Lab assists researchers with data gathering via university library API's or web scraping. But also working with datasets: EDA (exploratory data analysis), cleaning, analyzing and visualizing. And of course with text mining and machine learning.

Recente sprints:

  • ESHPM (patient experience stories, Alzheimer);

  • Erasmus MC/TU Delft (sarcoidosis disease);

  • ISS (self-assessment of research activities).

Collaboration in EUR projects at faculties

Supporting a team of researchers at ESHCC that is building an EUR Large Language Model (LLM) as part of the Convergence project in cooperation with the TU Delft.


  • Programming with Python (introduction);
  • Programming with Python (intermediate);
  • Introduction ‘machine learning’ (ML).

Team members

  • Farzane Zahra Zarepour
  • Peter van Huisstede
  • Nick Jelicic
  • Jasper Op de Coul

More information

For more information contact the Future Library Lab Team via: fll.library@eur.nl

Compare @count study programme

  • @title

    • Duration: @duration
Compare study programmes