Max Kemman (1987) works at Dialogic as researcher/consultant. He is specifically interested in innovations and trends in areas such as data science, big data and artificial intelligence, and how these affect the lives and work of individuals. He has developed expertise in such questions through research at Erasmus University Rotterdam on digital developments for historical research, and his PhD research at University of Luxembourg on collaborations between historians and computer scientists. Max thereby combines his humanities PhD in history with his knowledge of computational areas acquired through the bachelor artificial intelligence and master information sciences completed at Utrecht University.
2019 – now Researcher/consultant at Dialogic
2014 – 2019 PhD candidate at University of Luxembourg – Luxembourg Centre for Contemporary and Digital History
2014-2016: FLSHASE – History department
2014-2016: Correspondent for Historici.nl
2014-now: IPSE Doctoral School
2016-now: Trinational Doctoral School (with University of Saarland and Paris-Sorbonne University)
2015-now: Lecturer Introduction to Digital Humanities
2016-now: Co-coordinator Winter School Skills in Digital Methods (for MA and PhD students)
Co-coordinator Digital History Lab
2011 – 2014 Junior researcher at Erasmus University Rotterdam – ESHCC – History
Erasmus Graduate School of Social Sciences and the Humanities
2014: Talk of Europe – Travelling CLARIN Campus
2014: INFINITI – Information Retrieval for Information Services
2011-2014: AXES – Access to Audiovisual Archives
2013: Oral History Today
★ Open Data Prize winner of Linked Open Data in Libraries Archives and Museums Challenge (June 2015)
★ Finalist of Semantic Web Challenge (October 2013)
★ First prize winner of Linked Up Veni Competition (September 2013)
2014 – 2019 PhD History University of Luxembourg
Thesis: Trading Zones of Digital History
Research question: How are historians affected by interactions with computational experts in the context of digital history collaborations?
2009 – 2011 Master Content and Knowledge Engineering Utrecht University
Thesis: Information scent in bibliographic relations
Research question: How should we represent semantic relations in a bibliographic result set to improve information scent in the exploration stage of a search?
2006 – 2009 Bachelor Cognitive Artificial Intelligence Utrecht University
Thesis: Does religious faith entail belief? Could an Artificial Intelligence have religious faith?
2000 – 2006 Utrechts Stedelijk Gymnasium
Profiles: Natuur & Gezondheid, Natuur & Techniek