Data Science in Action

    All
    Master of Data Science Okanagan Siemens Healthnieers Capstone Project

    Anomaly Detection in Biosensor Waveforms | Student Capstone Project

    To help improve the identification of sensor failures within its epoc© Blood Analysis System, Siemens Healthineers, a leading medical technology company operating in over 70 countries with over 120 years of experience, and solutions that influence three-quarters of clinical decisions globally, enlisted the help of students from the UBC’s Master of Data Science Okanagan program to analyze biosensor timeseries waveform data.
    Master of Data Science Computational Linguistics Ojibwe

    Preserving Cultural Heritage with the Help of an Ojibwe Verb Conjugator | Student Capstone Project

    Looking for a way to improve the conjugation tool for nouns and verbs within various Indigenous languages, such as Ojibwe, CultureFoundry turned to a group of UBC Master of Data Science (MDS) Computational Linguistics students, who created an Ojibwe conjugator and API (Application Programming Interface) to tackle this task. This tool will allow language learners to smoothly and efficiently navigate the many possible forms each word can take, giving them greater authority and confidence in building their language skills.
    Master of Data Science Vancouver CCWS Capstone Project

    Analyzing Psychological Distress and Mental Well-Being in Canadian Post-Secondary Students Throughout COVID-19 | Student Capstone Project

    The Canadian Campus of Wellbeing Survey (CCWS) wanted to explore the effects of the pandemic on Canadian post-secondary students, in particular on vulnerable learning groups (e.g., learners with disabilities, and racialized learners). The CCWS teamed up with a group of UBC Master of Data Science (MDS) Vancouver students to explore the impact of the pandemic on students’ mental well-being.
    Master of Data Science Vancouver Sitewise Analytics Capstone Project

    Determining Restaurant Sales Performance Drivers Through Feature Selection | Student Capstone Project

    Sitewise Analytics, a Software-as-a-Service company, specializing in developing site forecast models, sales impact assessments, and actionable market strategy plans for leading restaurant, retail, real estate, and healthcare chains, partnered with Master of Data Science (MDS) Vancouver students to understand which specific factors drive success (and failure) for certain restaurant brands.
    Goodreads - MDS Computational Linguistics

    Student Data Science Project

    As part of their Advanced Corpus Linguistics project, four MDS Computational Linguistics students wanted to investigate the specific emotion in Goodreads book reviews.
    Spells - MDS Computational Linguistics

    The Harry Potter Spell Hunt | Student Data Science Project

    For their Advanced Corpus Linguistics project, a group of MDS Computational Linguistics students decided to track all the spells mentioned in the Harry Potter book series.
    Automatic Speech Recognition - MDS Computational Linguistics

    Automatic Speech Recognition for Non-Native English with Transfer Learning | Alumni Data Science Project

    A group of MDS Computational Linguistics alumni contributed to an article that centered around automatic speech recognition for non-native English with transfer learning.
    Stats Canada Transportation

    Incorporating Public Transit into Measures of Accessibility | Student Capstone Project

    In the past, Statistics Canada developed network accessibility measures based on the distance of driving and walking to compute proximity scores for various types of amenities. However, the importance of public transit as a primary mode of travel has not been included and accessibility measures based on time using transit have never been incorporated into proximity scores.

    UBC Animal Welfare Program

    Visualization Dashboard for Improving Dairy Cow Welfare | Alumni Data Science Project

    In partnership with the Animal Welfare Program at the UBC Faculty of Land and Food Systems, a group of MDS Vancouver alumni created a visualization dashboard to monitor the feeding, drinking and social behaviours of dairy cattle. Accurately visualizing and monitoring aids with the early detection of health problems and improves cattle welfare.
    Just Practice DIA

    Identifying Patient Care Gaps Through the Analysis of Electronic Medical Record (EMR) Data | Student Capstone Project

    With more and more primary care physicians using electronic medical records (EMR), extracting insights from it to improve patient care is complex. That is why JustPractice, a BC company using high quality EMR data analysis to help physicians manage their patients, enlisted the help of students from the UBC’s Master of Data Science Okanagan program, to improve the identification of patient care gaps through the analysis of EMR data.
    Understanding the Gender Wage Gap

    Understanding the Gender Wage Gap

    Data analysis of over 160,000 employees from 31 companies revealed a key piece of information that could be used to help companies and policy makers close the gender wage gap.
    Informing Disaster Relief
    In response to natural disasters, data scientists are applying machine learning algorithms to Twitter feeds in real time to help relief teams efficiently map disasters.
    Minerva Intelligence MDS Computational Linguistics

    Mineral Occurrence Text Extractor | Student Capstone Project

    Students from UBC’s MDS in Computational Linguistics partnered with Minerva Intelligence, an AI company that provides knowledge in earth science domains like mining and natural hazards, to extract information from MINFILE, a British Columbia Government mineral occurrences database.  The team developed a way to extract details from these reports in order to help Minerva’s knowledge base and make their AI system more robust.
    Peter A. Allard School of Law MDS Computational Linguistics

    Analysis of BC Negligence Decisions over 20 years | Student Capstone Project

    In partnership with UBC’s Peter A. Allard School of Law, a group of UBC MDS Computational Linguistics students examined all negligence cases in BC between 2000 and 2020 in order to determine how damages and contributory negligence have been changing over time. Using cases pulled from LexisNexus, students used two specific methods to develop a system that extracted relevant information from large amounts of text data.