Early career digital humanities researchers intending to conduct research with KB data may be eligible for our Researcher-in-residence programme. You will do your own research in the vast data collections of the KB, e.g., historical Dutch newspapers. KB data experts will be on stand-by to help you answer your research questions. This programme was established in 2014.
Collaboration between researchers and the KB Digital Humanities team
Participating in our Researcher-in-residence programme is mutually beneficial to both the researcher and the KB. The researcher can benefit from the knowledge and experience of our KB programmers and collection specialists, while the KB gathers valuable information to improve its services to digital humanities researchers.
Any tools developed in this programme will be made freely available in our KB Lab, thus increasing the benefits to the research community. Researchers-in-residence are also invited to share their experiences on our blog.
Call for proposals 2020
More information about the call
Deadline submissions: 30 September 2019
Researchers who have participated in the programme so far include:
- Dr. Jiyin He (University of Amsterdam) – July-October 2014
- Dr. Samuël Kruizinga (University of Amsterdam) – September 2014-March 2015
- Dr. Pim Huijnen (Utrecht University) – February-August 2015
- Dr. Martijn Kleppe (Erasmus University, Rotterdam) and dr. Desmond Elliot (CWI, National Research Institute for Mathematics and Computer Science) – April-September 2015
- Puck Wildschut MPhil (Radboud University) – February-August 2016
- Dr. Frank Harbers (University of Groningen) – July-December 2016
- Melvin Wevers MA (Utrecht University) – April-October 2017
- Thomas Smits MA (Radboud University) – May-November 2017
- Antoine Peris en dr. Cynthia Liem - January-June and July-December 2018
- Dr. Annemieke Romein (Ghent University) - May-November 2019
- Dr. Kaspar Beelen (University of Amsterdam) – July-December 2019
In 2019, Annemieke Romein (Ghent University) will work on improving the OCR-quality of early modern legal texts (books of ordinances) and on using computational methods to add metadata to these texts. More information