CCDHHN

Introduction to Multimodal Time Series Analysis with Python for Humanists (DHSI 2026)
2026-06-15 00:00 - 2026-06-19 23:59 (America/Halifax) | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

Data sets with rich underlying temporal dynamics are ubiquitous across the Humanities. A non-exhaustive list includes oral history interviews, medieval chronicles, news streams, diaries, as well as biographies. Even songs, poems, and novels can be approached as temporal data. Time series analysis is a branch of modern data science aiming to investigate temporal dynamics; it is an analytical and exploratory framework to study events and their relationship to time. It also offers groundbreaking solutions to explore temporal data that is unfolding through various modalities. For instance, an oral history interview is unfolding through different modalities or layers such as the textual content by the speaker, and the speaker’s body posture and eye movement. The overall goal of this course is to provide a practical introduction to single- and multimodal time series analysis tailored for humanists who have basic programming skills in Python. Specifically, our course has three goals.

First, it aims to teach the basic operations in time series analysis such as slicing, time stamping, and aggregation. As part of this, the course will guide participants through the process of transforming Humanities data sets into time series. We will discuss how existing essentially non-temporal data sets (such as a poem) can be treated as time series. We will also show how LLMs can help in the process of annotating time series and producing multimodal time series.

Second, our course will prepare participants to analyse the resulting time series. Participants will get acquainted with key concepts of time series analysis such as waiting time, recurrence, and frequency, and their connections to multimodality.

Finally, we will also teach some rudimentary statistical frameworks (survival analysis, time-to-event analysis, trend and seasonal analysis) to extract meaningful information from single- and multimodal time series.

Participants will be encouraged to bring their own data and work with that throughout the course, which will be structured as follows. In the mornings, we will offer more theory oriented sessions. By contrast, the afternoons will be devoted to practice and programming. We will provide reusable code in the format of Jupyter notebooks.

As a whole, after our course, students will be able to explore and analyse single- and multimodal temporal dynamics in a rich array of Humanities data sets, and raise meaningful questions related to the underlying temporal dynamics.

This course is for a broad Humanist audience who already has experience with Python and does data intensive research.

Instructor(s)

Gabor Mihaly Toth is a research scientist at the Center for Contemporary and Digital History at the University of Luxembourg; he is the principal investigator of “Voices from Auschwitz: Unlocking the Collective Memory with the Multimodal Analysis of Survivor Testimonies” project; before joining the University of Luxembourg, he had worked at the University of Southern California and Yale University.

Mohamed Laib is Data Science researcher in the Trustworthy AI group at the Luxembourg Institute of Science and Technology, with a solid foundation in statistics and machine learning. His work focuses on leveraging these skills to tackle complex real-world challenges.

[Foundations] Outils numériques et études littéraires: vers de nouvelles perspectives critiques (DHSI 2026)
2026-06-15 00:00 - 2026-06-19 23:59 | Université de Montréal, 3150 Rue Jean Brillant, Montreal, Québec, H3T 1N7, Canada
Description

Ce cours propose un aperçu des méthodes numériques appliquées aux études littéraires. Il s’adresse aux débutant·e·s intéressé·e·s par le potentiel du numérique dans leurs recherches et souhaitant découvrir une diversité de techniques. Nous explorerons des exemples novateurs de recherches en études littéraires, en abordant les méthodes et la gestion des données qui les rendent possibles. Une approche critique guidera l’introduction de plusieurs méthodes, telles que l’analyse automatisée des textes, la stylométrie, la cartographie numérique et l’analyse computationnelle d’images. À l’issue de ce parcours, divisé entre ateliers pratiques et discussions théoriques, les participant·e·s auront une meilleure compréhension des méthodes computationnelles appliquées à une variété de perspectives critiques. Il sera possible ensuite d’approfondir leur expertise de manière autonome ou en participant à d’autres formations spécialisées du DHSI.

Ce cours sera enseigné en français, avec des lectures et des exemples tirés de différentes langues, y compris l’anglais.

Enseignant.e.s

David Joseph Wrisley est professeur titulaire en humanités numériques à la New York University Abu Dhabi (Émirats arabes unis). Il a obtenu son doctorat à Princeton en langues et littératures romanes, avec une spécialisation en littérature médiévale comparée. Il s’intéresse à l’application des méthodes computationnelles en sciences humaines, particulièrement dans les contextes multilingues et non-anglophones. Ses recherches actuelles portent sur le développement de modèles de reconnaissance d’écriture manuscrite (en latin, arabe et français médiéval) ainsi que sur d’autres usages de l’intelligence artificielle dans l’étude des sources historiques. Depuis plus de 20 ans, il est engagé dans l’interdisciplinarité et la collaboration dans les pays du monde arabe. Avant de s’installer à Abou Dhabi, il a enseigné à l’American University of Beirut (Liban) de 2002 à 2016. A présent il co-dirige le Paris Bible Project (parisbible.github.io) et le groupe de recherche OpenGulf (opengulf.github.io).

Parham Aledavood est candidat au doctorat en littérature, option humanités numériques, à l’Université de Montréal. Sa recherche doctorale est soutenue par une bourse du Fonds de recherche du Québec (FRQ). En associant la théorie postcoloniale, les études planétaires et les humanités numériques, sa recherche actuelle porte sur une analyse computationnelle du traumatisme et du genre dans les romans de migration contemporains. À partir de septembre 2024, il est le directeur adjoint du Digital Humanities Summer Institute (DHSI).

Cliquez ici pour accéder au matériel pédagogique du DHSI 2025

Building Websites With Jekyll and GitHub
2026-06-23 00:00 - 23:59
This 6-hour workshop will teach participants how to create and host static websites using Jekyll and GitHub Pages. Static websites have many benefits, including low cost, faster rendering, easier backup and preservation, and far fewer security issues in comparison to popular dynamic platforms. Learners will be guided through writing formatted content with Markdown, configuring GitHub to build and serve pages, building multi-page sites with Jekyll, and customizing layouts. No prior experience with Git or web development is required — only comfort using a web browser — though a basic familiarity with HTML is helpful. This workshop is suitable for anyone looking to build a personal site or project documentation.

Instructor: Chris Geroux

Setup requirements: Create a free account on GitHub.

June 23 & 25, 2026 | 10:00 am – 1:00 pm (Atlantic)
