Team

Judith Pollmann is professor of Early Modern Dutch History at Leiden University. Her work concerns the question how people and societies in the past negotiated change. This has resulted in work on early modern identity formation, the history of the early modern Netherlands and the Dutch Revolt; the Reformation and Counter-Reformation in Europe and the social history of religion; the history of early modern memory, news and public opinion. Much of her work is based on the study of chronicles, diaries, and other personal records.

Erika Kuijpers is assistant professor at VU University Amsterdam and teaches medieval and early modern history of The Netherlands. She also coordinates the Minor Digital Humanities and Social Analytics at VU. Her research focusses on the cultural and social history of memory, emotions, trauma, religion, orality and the practice of chronicling in Early Modern Europe 1500 – 1800.

Theo Dekker is a PhD candidate in History at Leiden University. In 2018 he completed his research masters in both History and History & Philosophy of Science at the University of Amsterdam (UvA) and Utrecht University. He investigated the implementation of innovation, and the relation between (natural) philosophy, technology and governance in seventeenth-century Amsterdam. After obtaining his teaching degree in 2019 at the UvA, he now continues in expanding his research ‘bottom-up’ on the reception and appreciation of novelty by ‘ordinary’ people between 1500-1850.

Alie Lassche is a PhD candidate in History at Leiden University. In 2019, she completed her research master’s Dutch literature and culture at Utrecht University with distinction, and wrote a thesis on topical fluctuation in early modern Dutch songs. In general, she is interested in using computational methods to research cultural products, in order to investigate cultural change over time.

Roser Morante is assistant professor at VU University Amsterdam. She is member of the Computational Lexicology & Terminology (CLTL) lab. Her general interest is deep text understanding by machines. She applies supervised and unsupervised techniques to semantic-oriented natural language processing tasks at sentence, document and multi-document level. Her main research focus is on processing extra-propositional aspects of meaning, such as modality, factuality, attribution, or negation.

Carolina Lenarduzzi is a visiting Member of Staff at the Institute for History at Leiden University, where she obtained in 2018 her doctoral degree with a thesis on the lived experience of the Catholic subculture in the Dutch Republic. Her current research concerns the changed perceptions of body shapes from the sixteenth through eighteenth century. In her work she calls upon a wide variety of personal manuscripts, such as diaries, memoirs, chronicles and autobiographical poems. Her role is to co-manage the Chronicling Novelty project and to explore further research possibilities with regard to the digitized corpus of chronicles.

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