Events & Community
Workshops, webinars, and collaborative events for language data researchers worldwide
LADAL hosts and participates in workshops, webinars, panels, and collaborative events that bring together researchers, students, and practitioners from around the world. All events are free and open to the research community.
Workshops
Hands-on, practical learning with real data
Webinars
Expert talks from leading researchers
Panels
Diverse perspectives on key questions
Collaborations
Network and share knowledge globally
Upcoming Events
We announce new workshops and webinars regularly. To be notified as soon as new events are scheduled, subscribe to the LADAL mailing list by emailing ladal@uq.edu.au with the subject line email list. Check back here for updates.
LADAL is also part of the Language Data Commons of Australia (LDaCA) — visit the LDaCA events page for additional opportunities.
Past Workshops
LADAL offers practical, hands-on workshops on text analytics, statistics, data visualisation, and computational methods — from introductory sessions for beginners to advanced techniques for experienced researchers.
An introduction to computational text analysis fundamentals using LADAL resources — suitable for researchers who have more text than they can analyse manually and want systematic, reproducible approaches.
- Why and where computational methods are appropriate
- Preparation and preconditions for computational text analysis
- R programming with Jupyter notebooks
- Common methods and libraries for text analysis
- Project management for computational research
No programming experience required.
Showcasing how LADAL resources can elevate humour studies through computational methods. Covered text analytics techniques, data processing for humorous texts, visualisation of humour patterns, and practical applications.
Hands-on exploration of LADAL's text analytics capabilities. Participants gained essential NLP skills in R, worked through live demonstrations, and learned insight extraction and visualisation techniques.
Explored PCA, MDS, and Factor Analysis for language research — basic concepts, practical applications in linguistic research, and interpreting and visualising results.
Advanced dimension reduction (t-SNE, UMAP) combined with reproducible workflows: creating Jupyter notebooks from R, connecting RStudio to GitHub, and using Binder for sharing interactive analyses.
Two skills in one: working with tabular data (loading, processing, summarising) and tree-based models (conditional inference trees, random forests, Boruta feature selection) in R.
Network theory, network analysis in R, and topic modeling of tweets using open-source 2019 Federal Election Twitter data. A collaboration with the Australian Digital Observatory, ATAP, and ARDC.
Design studies with appropriate sample sizes using the pwr and simr packages. Covered power analysis fundamentals, sample size determination, effect size estimation, and post-hoc power analysis.
Publication-quality visualisations using ggplot2 fundamentals and Likert scale visualisation, with customisation best practices and real-world examples.
A hands-on introduction to Jupyter notebooks, basic text analysis, and reproducible workflows — for absolute beginners with no prior programming experience required.
How UQ established LADAL as school-based support for digital humanities research: institutional implementation, infrastructure design, community building, and lessons learned.
Why R for corpus linguistics? A practical discussion of sustainability, replicability, and workflows for corpus-based research.
Panels
Computational Thinking in the Humanities
Computational Thinking in the Humanities
An international workshop bringing together speakers from multiple countries to address fundamental questions: How can humanities embrace computing on their own terms? How do we resist having our problems "solved" for us? What are the methodological foundations of computational humanities? Does computation change the nature of what we do?
Part I — Plenary Talks
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Krista Lagus (University of Helsinki) —
Bridging the impossible: How to avoid bringing technodystopia to the social sciences
▶ Watch -
Barbara McGillivray (King's College London / Alan Turing Institute) —
Computational approaches and the Humanities: what might await us?
▶ Watch
Part II — Lightning Talks
Plenary speakers:
Krista Lagus
Full Professor, University of Helsinki · Centre for Social Data ScienceResearch interests: Quantitative and qualitative data analysis for understanding individual and social well-being practices including loneliness, peer support, and mindfulness.
Barbara McGillivray
Lecturer, King's College London · Turing Research Fellow · Editor-in-Chief, Journal of Open Humanities DataPreviously language technologist at Oxford University Press and data scientist at Springer Nature. Author of Applying Language Technology in Humanities Research (Palgrave Macmillan, 2020).
Webinar Series
All recordings are freely available on the LADAL YouTube channel.
2022 Series
Six expert webinars on computational linguistics topics.
2021 Opening Series
The inaugural LADAL Opening Webinar Series — 25 webinars from international experts in linguistics, data science, and digital humanities, running June–November 2021. All recordings are available on YouTube.