Data Science in Action

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    Master of Data Science Okanagan Winnipeg Jets capstone project

    Ticket Pricing Model for the Winnipeg Jets | Student Capstone Project

    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.
    Master of Data Science Computational Linguistics BC Stats Capstone Header Overlay

    Improving BC Data Catalogue with NLP Techniques | Student Capstone Project

    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.
    Master of Data Science Computational Linguistics Law Capstone Project

    Why do Judges Allow or Deny Eviction Orders in Ontario's Residential Tenancy Board? | Student Capstone Project

    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?
    Master of Data Science Vancouver ICBC Capstone Project

    Image Recognition of Vehicle Odometer Readings | Student Capstone Project

    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.
    Master of Data Science Vancouver Neotoma Capstone Project Header 2

    Finding Fossils in the Literature | Student Capstone Project

    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.
    AI versus Human MDS Computational Linguistics Header Test 2

    AI-Generated versus Human-Written Text | Student Data Science Project

    With the rise of ChatGPT, for their Advanced Corpus Linguistics course, a group of MDS Computational Linguistics students wanted to develop a model that can distinguish between human text and A.I. generated text.
    Master of Data Science Computational Linguistics Advanced Corpus Linguistics Project Bookdel Web App

    Female Participation in Jane Austen Novels | Student Data Science Project

    For their Advanced Corpus Linguistics project, a group of MDS Computational Linguistics students wanted to apply the Bechdel Test to the works of Jane Austen.
    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.
    BCCSU Capstone Project

    DrugSense – Applying Data Science to Drug Checking | Student Capstone Project

    Together with the BC Centre on Substance Use (BCCSU), students from UBC’s MDS Vancouver program developed an interactive DrugSense dashboard interface for the BCCSU’s website. The goal of the project was to give those who use drug-checking services a way to visualize and explore key trends and statistics related to specific drugs and an ever-changing and unregulated drug market, while providing opportunities to learn more.
    Vancouver Whitecaps FC

    Modelling the Physical Performance of the Vancouver Whitecaps | Student Capstone Project

    Working with the Vancouver Whitecaps, Vancouver’s professional Major League Soccer team, a group of UBC MDS Vancouver students analyzed players physical performance to build a model for player fatigue and fitness.  The students developed a data pipeline which can help the Whitecaps analyze and understand training loads for each session and closely examine the players' physical outputs during training sessions and matches.
    Data in Action: Using Machine Learning to Predict Playground Usage

    Using Machine Learning to Predict Playground Usage | Student Capstone Project

    A team of UBC MDS Vancouver students worked with Biba, a smart playground company, to build several learning models in order to estimate the number of monthly sessions at particular playgrounds within a given month. Data was collected from 2506 playgrounds across the US to help understand how playgrounds are being used in order for park managers to make meaningful decisions regarding the management of existing playgrounds and the planning of new playgrounds.
    Urban Logiq

    Identifying Amenity Gaps | Student Capstone Project

    In partnership with Urban Logiq, an organization that helps governments worldwide make faster, cheaper and more accurate decisions with their data, a group of MDS Vancouver students collected data from GPS-enabled vehicles in a specific city of interest and created two sets of visualization tools, which they used to help answer two questions: How far does someone need to travel to reach an amenity? And are certain nearby amenities being bypassed in favour of others?
     e-comm 911

    ‘Saving Lives and Protecting Property’ with a Predictive Staffing Model | Student Capstone Project

    Working with E-Comm 9-1-1—a multi-municipality emergency communications agency serving British Columbia—UBC Master of Data Science students looked at how the agency’s existing data could be used to create call-taking and dispatch schedules that would correspond with shifting call volumes based on time of day, day of week, and holidays or special events throughout the year.
    Data in Action: Delivering Better Care Through Education

    Delivering Better Care Through Education | Student Capstone Project

    In partnership with QxMD—a Vancouver-based digital learning technology company—students from UBC’s Master of Data Science program created a tool to identify trending health topics within news articles and match these with relevant medical journal articles. Thus helping medical professionals better serve patients with questions related to specific news articles they’ve read.
    Data in Action: Predicting Customer Order Probabilities

    Predicting Customer Order Probabilities | Student Capstone Project

    Students of UBC’s Master of Data Science program in Vancouver worked with Fresh Prep to design a dashboard tool that not only helped the meal kit delivery company predict its future orders but also provided the insights needed to help Fresh Prep better serve its existing customers and improve their order rate.
    Helping AI Recognize Intent

    Helping AI Recognize Intent | Student Capstone Project

    Students from UBC’s Master of Data Science program worked with banking software company, Finn Ai, to pinpoint areas for improvement in the way their conversational assistants understand and respond to customer needs.
    Bringing Clarity to Transit Congestion

    Bringing Clarity to Transit Congestion | Student Capstone Project

    Working with Coast Mountain Bus Company, students from UBC’s Master of Data Science program designed a forecasting tool using bus route data to create more accurate schedules for TransLink’s largest operating company.
    Transplant Translation
    Data scientists are having a positive impact in the medical field – in ways never dreamed possible. Using a new automated RNA analysis platform that conducts biomarker blood tests, data scientists can monitor and treat heart transplant patients with a simple blood test instead of invasive biopsies. 
    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.
    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.
    Nick Sanders DIA - MDS Computational Linguistics

    Alumni Data Science Project

    During his time at Bethesda, Maryland-based National Institutes of Health, Nicholas Sanders, MDS Computational Linguistics Alumnus, Class of 2021, worked on a model deployed on an internal NIH website for staff to input a given grant application and receive PAC/PO recommendations.
    Seasalt AI Capstone Project - MDS Computational Linguistics

    Cross-Lingual NER for Low-Resource Languages | Student Capstone Project

    Working with Seattle-based AI start-up, Seasalt.ai, students from UBC’s Master of Data Science in Computational Linguistics program created a universal NER (Named Entity Recognition) system that applied transfer learning from high-resource language datasets to low-resource languages. This allowed crucial information to be extracted from previously underrepresented languages, like Indonesian, Javanese, Malay, Vietnamese, Tagalog, Croatian, and Czech, for use across a variety of Natural Language Processing tasks.
    Universal Graded Reader - MDS Computational Linguistics

    Phase One of a Universal Graded Reader | Student Capstone Project

    As a result of a question posed by UBC Linguistics and French, Hispanic, and Italian Studies faculty, a group of UBC MDS Computational Linguistics students embarked on the first phase of a project that could improve graded readers for any language. The capstone project focused on A1, A2, and B level documents for the Spanish language, but it laid the foundation for the creation of a universal reader.
    Creating a search engine for domain-specific text - MDS Computational Linguistics

    Alumni Data Science Project

    Ilana Zimmerman, MDS Computational Linguistics Alumna (Class of 2020) was tasked to create a search engine based on two transformer models in her role as a Natural Language Processing Engineer with ALEX - Alternative Experts. ALEX is an ISO 9001:2015-certified solutions provider to Government, Defense, and Commercial contracts, based in Washington, DC.
    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.