The vision of the FRQ-IVADO Chair in Data Science is to incorporate math, statistics and IT sciences, along with the knowledge and skills of specialists and the data they generate, into a single research program. The Chair’s objectives are built on this multi-disciplinary approach, which lends itself to the production of quality methodological tools that are adapted to specific issues, and allows for proper interpretation of the results. The Chair’s work will cover a range of sectors, including management, with a particular expertise in the fields of transportation and health.
The general objectives of the Chair are as follows :
- Develop methods to analyze and process data combining machine learning and statistical inference, specifically tackling the challenges posed by large data volumes and complex correlations among data.
- Participate and collaborate on large-scale applied research projects in various fields, such as transportation, health and management.
- Put measures into place to ensure that the Chair’s various projects adhere to the principles of equity, diversity and inclusion of visible and ethnic minorities and persons with disabilities.