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Email

doyle.k@unimelb.edu.au

Credentials


Position
Research Data Specialist
School of Computing and Information Systems
Education
Masters (Coursework & Research)
University of Melbourne
Bachelors Degree (Honours)
Monash University
ORCID

0000-0002-9429-7188

Ms Kim Doyle

Research Data Specialist
School of Computing and Information Systems

16 Scholarly works
0 Projects

HIGHLIGHTS

  • 2025

    Journal article

    Time to consider more than just calcium? The impact on protein, riboflavin, vitamin B12 and iodine intake of replacing cows’ milk with plant-based milk-like drinks—an Australian usual intake dietary modelling study
    DOI: 10.1007/s00394-025-03697-8
  • 2025

    Journal article

    Is it time to consider more than just calcium? The nutritional implications of replacing dairy milk with various categories of plant-based ‘milks’—a usual intake modelling study
    DOI: 10.1017/s0029665125000989
  • 2025

    Journal article

    Modelling vitamin D fortification scenarios for the Australian population
    DOI: 10.1017/s0029665125000886
  • 2025

    Journal article

    Modeling Vitamin D Fortification Scenarios for the Australian Population
    DOI: 10.1016/j.tjnut.2024.12.032
  • 2024

    Book Chapter

    Beyond the numbers
    DOI: 10.4324/9781003428923-6
  • 2024

    Journal article

    Emotional geographies of an urban forest: Insights from an email-a-tree initiative
    DOI: 10.1111/1745-5871.12626
  • 2024

    Journal article

    Organize and Fight (Online): Assessing the Discursive Extremism of Anti-Lockdown Groups in Australia
    DOI: 10.1080/09546553.2024.2397646
Kim Doyle

RECENT SCHOLARLY WORKS

  • 2024

    Book Chapter

    Beyond the numbers: Spotlight on data and citizen journalism during Australia’s COVID-19 crisis
    DOI: 10.4324/9781003428923-6
  • 2023

    Journal article

    An evaluation of existing text de-identification tools for use with patient progress notes from Australian general practice
    DOI: 10.1016/j.ijmedinf.2023.105021
  • 2022

    Journal article

    Community construals of CSR for happiness: a mixed-method study using natural language
    DOI: 10.1108/SBR-05-2022-0149

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