Bureau des initiatives numériques (BIN)


The digital era represents an opportunity for the Science, Technology and Society disciplines to profit from a more sustained use of certain research methodologies, thanks to the availability of large quantities of data and powerful computing tools for their analysis. The general objective of the CIRST’s latest research facility, the Bureau des initiatives numériques (BIN – loosely translated as the Bureau of digital initiatives), is to support researchers in their ambitions to carry out such ground-breaking research.

BIN presentation & guide


Available services at the BIN

The Bureau des initiatives numériques was created to develop the digital humanities component of the CIRST. This development is along three axes:


Professors and students can request training sessions tailored to a research team or project, or for more general training within the areas of expertise of the BIN.

Project execution

Professors and students can call on the BIN for the elaboration of the digital humanities portion of a project, for its implementation, or simply for a consultation relating to an existing project or one in development.

Constitution of communal resources (databases and codes)

One of the BIN’s mandates is to construct and maintain databases stemming from projects in which it was involved, in order to make them available and easily usable by other researchers. In the same way, the codes and algorithms created for the implementation of a project will be made available to other researchers in order to ensure that the BIN is a foundational resource for the CIRST.

The professional support offered by the BIN can be put to use for all the tasks which are generally necessary for the implementation of a research project in the digital humanities:

  1. Creation of corpora (e.g. web scraping)
  2. Data preprocessing (e.g. data cleaning, lemmatization)
  3. Modelling (e.g. textual matrices, relational graphs)
  4. Automatic and semi-automatic analytics (e.g. clustering analysis, topic modelling, frequent patterns analysis, predictive modelling)
  5. Visualisation (e.g. word networks, decision trees, word clouds)
  6. Interpretation and validation
  7. Database creation and management


Submitting a project

Project submissions are accepted at all times. Each submission must contain the following information:

  • Project description (theme / corpus / type of analyses) and its foundational character with respect to the CIRST (eg. students training, creation of methodological tools and databases, etc.)
  • Team composition (researchers and students), including initial competence levels with respect to methods to be used
  • Possible financing
  • Implementation schedule
  • Expectations relating to work hours and resources to be provided by BIN staff

Projects will be evaluated with respect to:

  • their foundational character with respect to the CIRST
  • the quantity of resources mobilised and devoted to the project by the BIN
  • the compatibility of the project with the BIN’s expertise.

Submissions (2p. max) must be sent to: cirst@uqam.ca


Ongoing projects

  • Computer-assisted text analysis Summer School (co-organised with the Centre ATO)
    Supervisor: Élias Rizkallah
  • Research project analysing the evolution of themes in the philosophy of sciences (in collaboration with the LAPS)
    Supervisor: Christophe Malaterre
  • Research project on the analysis of sociosemantic networks (in collaboration with the Groupe-Réseaux)
    Supervisor: Johanne Saint-Charles
  • Project analysing the discourses of central banks
    Supervisor: François Claveau


BIN presentation & guide

Updated 5 November 2018 at 11 h 29 min.