Starting soon: CLARIAH Amsterdam Time Machine

October 2017 – March 2019: EviDENce (funding: CLARIAH-eScience), KNAW Humanities Cluster
Although oral history and the study of ego documents both value these individual perspectives on history and its meaning, these research fields tend to operate separately. EviDENce explores new ways of analysing and contextualising historical sources by applying event modelling and semantic web technologies.

May 2017 – May 2018: SERPENS (funding: CLARIAH), Vrije Universiteit Amsterdam & KNAW Humanities Cluster
Historically, some animals have been perceived as threats by humans. These species were believed to carry diseases or harm crops and farm animals. SERPENS aims to study the historical impact of pest and nuisance species on human practices and changes in the public perception of these animals.

January 2016 – September 2017: CLARIAH (funding: NWO), Vrije Universiteit Amsterdam, Computational Lexicology and Terminology Lab
The Dutch CLARIAH project aims to build a research infrastructure for the Arts and Humanities. In Work Package 3 (Linguistics), tools were developed to aid researchers in analysing textual data.

March 2013 – January 2016:  NewsReader project (funding: EU FP7), Vrije Universiteit Amsterdam, Computational Lexicology and Terminology Lab
In the NewsReader project (EU FP7), we try to reconstruct news stories from daily news streams. By extracting the who, what, where and when of each article and merging it with previously extracted knowledge, we aim to provide professional decision makers with a condensed but complete picture.

October 2009 – March 2013: Agora (funding: NWO CATCH), Vrije Universiteit Amsterdam, Web and Media Group
Agora was aimed at facilitating and assessing the impact of digitally mediated public history in collaboration with Rijksmuseum and the Dutch Institute for Sound and Vision.

September 2005 – September 2009: MITCH (funding: NWO CATCH), Tilburg University & Naturalis Biodiversity Center
My project was concerned with improving data quality and advanced knowledge presentation through (sometimes automatically induced) ontologies. The work in MITCH led to my PhD thesis titled “Accessing Natural History: Discoveries in Data Cleaning,Structuring, and Retrieval”