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We are pleased to announce that the call for abstracts for the third series of the Data in Historical Linguistics seminar series is now open. These seminars will be run by King’s College London and CNR–ILC and are mostly aimed at PhD students and Early Career Researchers (ECRs). The purpose of this seminar series is to bring together researchers working on historical linguistics with a quantitative approach, and to discuss current avenues of research in this topic. Following on from the success of the first two series, we hope that this third seminar series will continue to nurture international collaboration and establish academic ties among researchers working on similar topics in this field.

This year, the seminar series will be sponsored by CLARINhttps://www.clarin.eu/.

Seminars will start in January 2027 and will last one hour.

This year, we welcome abstracts for two possible formats:

* Research presentation: a 30-minute talk, followed by 30 minutes of discussion.

* Interactive session: a 45-minute hands-on workshop in which the speaker presents and demonstrates digital/computational tools, with opportunities for participants to experiment with the tool themselves, followed by 15 minutes of discussion.

All seminars will be held remotely via Microsoft Teams on Mondays at 5pm GMT. They will provisionally be held fortnightly, depending on the number of speakers.

We invite proposals from PhD students and ECRs working on Historical Linguistics, with an emphasis on quantitative approaches. Abstracts (maximum 400 words) should:

1. describe the dataset (language, size, object, methodology)

2. specify whether the analysis was conducted manually or computationally

3. specify whether they are intended for a research presentation or an interactive session

Abstracts (in .docx format) and personal information (name, surname, affiliation, email address) should be emailed to Andrea Farina (andrea.farina@kcl.ac.ukmailto:andrea.farina@kcl.ac.uk).

The deadline for the abstracts is 1st December 2026.

All this information is readily available at our website: https://datainhistoricallinguistics.wordpress.com/