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UID:pretalx-juliacon-2026-VCTRLC@pretalx.com
DTSTART;TZID=CET:20260813T100000
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DESCRIPTION:The computational humanities and social sciences (CHSS) increas
 ingly rely on large\, text-rich datasets – from digital corpora and lear
 ner corpora to discourse-annotated datasets and historical archives – ye
 t researchers often struggle with the limitations of existing tools for la
 rge-scale data processing\, modeling\, and reproducibility. This minisympo
 sium introduces Julia as a powerful\, expressive\, and high-performance so
 lution for CHSS research. We showcase how Julia’s strengths (speed\, a s
 olid type system\, first-class multiple dispatch\, and seamless interopera
 bility with Python and R) enable both rapid experimentation and production
 -grade analysis. Through case studies ranging from corpus statistics and c
 ollocation networks to mixed-effects modeling of experimental data and lar
 ge-scale language data pipelines\, we highlight existing Julia packages an
 d other emerging ones such as TextAssociations.jl and demonstrate how Juli
 a can substantially expand what researchers in the humanities and social s
 ciences can achieve. The minisymposium aims to build bridges between Julia
  developers and CHSS scholars while fostering a new community of users wor
 king with rich textual\, linguistic\, and sociocultural data.\n\n3 organiz
 ers: Alexandros Tantos (Aristotle University of Thessaloniki)\, Julia Muel
 ler (Universitaet Freiburg) and Axel Bohmann (Universitaet Koeln)
DTSTAMP:20260426T095351Z
LOCATION:Room 5
SUMMARY:Bringing Julia to the Computational Humanities and Social Sciences 
 - Julia Müller\, Alexandros Tantos\, Axel Bohmann
URL:https://pretalx.com/juliacon-2026/talk/VCTRLC/
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