Ms Alicia Feldman
Faculty of Health,
School of Public Health & Social Work
Biography
I am an applied social researcher and data analyst specialising in health workforce, digital platform work and higher education. I draw on quantitative and mixed methods approaches, including novel data linkage, large-scale survey design and analysis, statistical modelling and qualitative comparative analysis, to generate insights that inform policy and practice across health, workforce and higher education contexts.My doctoral research examines institutional conditions shaping clinician research participation in Australia, developing and applying novel data linkage methods to generate the first national baseline of physician-scientist prevalence in Australia. Beyond my doctoral work, I have led and contributed to research projects examining generative AI use in Australian universities, digital platform work and gig economy regulation, gender equity in health and medical research, work-integrated learning and employment relations. My research consistently produces outputs for policy and practitioner audiences, including peer-reviewed publications, government reports and submissions to parliamentary inquiries and regulatory bodies.
I completed a Bachelor of Science and Bachelor of Business (both with Distinction) at QUT, followed by a Master of Philosophy and doctoral candidacy at QUT. I have worked as a researcher and data analyst at QUT and Griffith University. I currently hold a concurrent appointment with the Research Portfolio as Agent Design and Development Lead for QUT's AI Governance and Tools in Research Project.
Personal details
Positions
- Data Analyst
Faculty of Health,
School of Public Health & Social Work
Qualifications
- Master of Philosophy (Queensland University of Technology)
Teaching
I have sessional teaching experience at QUT across undergraduate management units and hold an Associate Fellowship of the Higher Education Academy.
Experience
My research is conducted in partnership with government agencies, regulatory bodies and industry partners, with a consistent focus on producing findings that are usable beyond academia. I have contributed analytical work directly informing regulatory decision-making at the national level. As lead analyst on a project commissioned by the Fair Work Commission, I analysed workforce composition and characteristics across two sectors of the gig economy to inform two minimum standards order applications, feeding directly into the Commission's approach to regulating digital platform workers. Earlier work with the Victorian Department of Premier and Cabinet examined workforce patterns in digital platform work in Australia, contributing to the evidence base for state government policy development.
In health, my doctoral research produced the first national dataset of verified research metrics for Australia's physician-scientist workforce, linking AHPRA medical practitioner registration data with Scopus bibliometric records. I presented findings to AHPRA's executive leadership, with implications for national health workforce policy and research investment. My work with Metro North Health and Queensland Health examined research participation among hospital and health service staff, generating evidence to support gender equity in STEMM research careers.
In higher education, I led quantitative analysis for a national study of generative AI use across 17 Australian universities, producing a national overview report and 17 institutional reports. Findings were presented to TEQSA and Universities Australia and contributed to sector-wide conversations about responsible AI integration in university contexts.
Publications
Research outputs by year
Filter publications:
A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/a.feldman