[Lingtyp] Final call for papers: Linguistic data and language comparison in light of the 'quantitative turn' and 'big data' - a workshop and symposium

[Sandra Auderset]

** apologies for cross-posting **

—— Final call for submissions and deadline extension ——
Linguistic data and language comparison in light of the ‘quantitative turn’ and ‘big data’ – a workshop and symposium

May 7 to 9 2025 at the Department of Linguistics, University of Bern
Organizer and contact: Sandra Auderset (sandra.auderset at unibe.ch (mailto:sandra.auderset at unibe.ch))
Submission e-mail: data_ws_unibe at gmx.ch (mailto:data_ws_unibe at gmx.ch)

Timeline:
Extended application deadline: November 25, 2024 (midnight CEST)
Notifications sent out by: December 20, 2024
Workshop: May 7 to 9, 2025

Full call with all information: https://www.isw.unibe.ch/forschung/workshops/linguistic_data_and_language_comparison/index_ger.html

This workshop provides a forum for in-depth discussion and exchange on theoretical and methodological issues related to linguistic data and language comparison by exploring the relationship of data gathering, analysis, and annotation practices in linguistics in light of the 'quantitative turn' and the advent of ‘big data’. A particular focus lies on synchronic and diachronic comparison and the role of understudied/endangered languages. Potential talk and discussion topics include but are not limited to: • types of linguistic data and their relationship to qualitative and quantitative analyses
• transparency and reproducibility in the context of primary and secondary data
• the role of understudied and endangered languages in methodological and theoretical advancements
• biases in annotation and analysis of linguistic data and how they can be addressed or mitigated
• the connection of quantitative/computational methods and language documentation, especially how they can mutually benefit each other
• models and methodologies for bottom-up language comparison
• database design principles and their effect on linguistic theorizing
• best practices’ for quantitative and statistical methods drawing on a diverse set of data
• models of collaboration between researchers focusing on different aspects of data management and analysis (e.g. recordings and annotation, statistical modeling, questionnaire development)

--
Sandra Auderset (https://sauderset.github.io/), PhD
Postdoctoral Researcher [she/her]

University of Bern
Department of Linguistics (https://www.isw.unibe.ch/index_eng.html)
Länggassstrasse 49
CH-3012 Bern

mail to: sandra.auderset at unibe.ch (mailto:sandra.auderset at unibe.ch)

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