Data Science in Action

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    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.
    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.
    Agri-Food Canada - Cherry Picking DIA

    Improving Cherry Grading | Student Capstone Project

    Agri-Food Canada enlisted the help of a team of students from the University of British Columbia’s Master of Data Science Okanagan program to help AAFC improve the overall efficiency of the tree fruit breeding process by providing unbiased and precise data on sweet cherry traits in an expedited fashion, while avoiding cost arising from unproductive procedures and human errors.
    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.
    Statistics Canada Data in Action

    Bringing Understanding to the COVID-19 Outbreak in Ontario | Student Capstone Project

    In partnership with Statistics Canada, students of UBC’s Master of Data Science Okanagan program used clustering methods, principal component analysis and principal component regression to provide greater insight into the spread of COVID-19 among of long-term care homes. The project showcased how leveraging various open data sources can produce comprehensive and meaningful results.
    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.
    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.