37.566, Confs: Minisymposium at JuliaCon 2026: Bringing Julia to the Computational Humanities and Social Sciences (Germany)
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LINGUIST List: Vol-37-566. Wed Feb 11 2026. ISSN: 1069 - 4875.
Subject: 37.566, Confs: Minisymposium at JuliaCon 2026: Bringing Julia to the Computational Humanities and Social Sciences (Germany)
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================================================================
Date: 10-Feb-2026
From: Julia Müller, Alexandros Tantos, Axel Bohmann [julia.mueller at anglistik.uni-freiburg.de]
Subject: Minisymposium at JuliaCon 2026: Bringing Julia to the Computational Humanities and Social Sciences
Minisymposium at JuliaCon 2026: Bringing Julia to the Computational
Humanities and Social Sciences
Date: 10-Aug-2026 - 15-Aug-2026
Location: Mainz, Germany
Meeting URL: https://pretalx.com/juliacon-2026/cfp
Linguistic Field(s): Computational Linguistics; Ling & Literature;
Text/Corpus Linguistics
Submission Deadline: 28-Feb-2026
The computational humanities and social sciences (CHSS) constitute a
rapidly growing area that works with massive amounts of unstructured
textual, linguistic, and sociocultural data. Despite the scale and
complexity of these datasets, CHSS researchers overwhelmingly rely on
tools that are either slow (e.g., pure Python), fragmented across
ecosystems, or difficult to integrate into modern workflows that
require both prototyping and high-performance computation.
This minisymposium aims to introduce Julia as an ideal language for
the next generation of CHSS research. Julia’s combination of speed,
expressiveness, solid type system, and multiple dispatch makes it
uniquely suited for humanities research where interpretability,
clarity of modeling, and independence from opaque black-box pipelines
are essential. Moreover, Julia’s seamless interoperability with Python
and R lowers the barrier for researchers transitioning from more
traditional CHSS workflows.
The minisymposium presents real examples of how Julia is already being
adopted in CHSS, including large-scale corpus processing, collocation
and association analyses, network-theoretic models of discourse, and
mixed-effects modeling. We highlight emerging packages such as
TextAssociations.jl, which provides high-performance computation of
linguistic association measures; demonstrate how Julia’s statistical
and data ecosystems support complex modeling and linguistic
experimentation; and show pathways for community growth, education,
and contribution.
Our goal is to:
- Introduce Julia to researchers in CHSS, where awareness remains low
but potential impact is high.
- Demonstrate concrete use cases for text-rich, corpus-driven
research that requires both speed and expressiveness.
- Connect Julia developers with domain researchers, fostering
collaborations on text data, linguistics, and social-science
applications.
You can find more information on the minisymposium here:
https://pretalx.com/juliacon-2026/talk/VCTRLC/
Please note: If you're interested in submitting a contribution for
this minisymposium, please pick it as a track for your proposal when
submitting via the general JuliaCon call for papers
(https://pretalx.com/juliacon-2026/cfp).
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