Data Science in Action

Bird-aircraft strikes pose a significant safety hazard to aircraft, pilots and passengers. In order to address this hazard, Illuminex AI worked with a group of UBC Master of Data Science (MDS) Vancouver students to develop a robust object detection pipeline to identify birds in images around airfields in real-time.

For Faber Connect, a significant operational challenge is the unpredictability of worker attendance and worker quality. To mitigate this issue, Faber turned to a group of UBC’s Master of Data Science (MDS) Vancouver students to develop a data pipeline that predicts worker job success.

Ocarina Studios’ Dream QuiZzz is an adventure/trivia game, currently being powered by a database of approximately 30,000 manually-written questions. In order for the database to expand efficiently and effectively, Ocarina Studios worked with a group of UBC Master of Data Science in Computational Linguistics students on a data pipeline project that will generate question-answer (QA) pairs, without the need for human intervention, through the use of machine learning and linguistic techniques.

For their Advanced Corpus Linguistics project, a group of UBC Master of Data Science (MDS) Computational Linguistics students created a corpus of social media content and comments to help understand and keep up with new slang terms.

To help navigate the complexities of today’s job search, a group of UBC Master of Data Science (MDS) Computational Linguistics students worked on a project to help job seekers find the right role for their career aspirations while also being confident about job stability.

True North Sports and Entertainment worked with a group of UBC Master of Data Science Okanagan students to create a ticket pricing model from scratch using Jets ticket sales data from the past decade.

BC Stats collaborated with a team of UBC Master of Data Science – Computational Linguistics students to enhance user experience and adoption of BC Data Catalogue by implementing advanced Natural Language Processing (NLP) techniques. The primary focus was to help users find the datasets they needed and understand what datasets were available.

The University of Toronto’s Future of Law Lab worked with two groups of Master of Data Science Computational Linguistics students to help answer the following question: Why do judges allow or deny eviction orders in Ontario's Residential Tenancy Board?

To reduce the amount of manual review, ICBC tasked a group of UBC Master of Data Science (MDS) Vancouver students to develop a pipeline capable of accurately reading odometers from dashboard photographs to assist with its low-kilometre discount program.

The Neotoma Paleoecology Database is a National Science Foundation funded, open source, community-led database that contains records of over 10 million ice age fossils. However, data entry of new records is a time-consuming process, and is often a barrier for researchers submitting their data. Neotoma worked with a group of UBC Master of Data Science Vancouver students to develop a full-text journal search using NLP tools to both identify articles of interest to Neotoma’s team of data stewards, and to extract relevant data from the journal articles to reduce the barrier for data upload.