Julia Bullard: Assistant Professor at School of Information, UBC Faculty of Arts

Assistant Professor

Faculty of Arts

Research Classification

Organization of information and knowledge resources

Library science and information studies

Research Interests

classification systems

Cultural Institutions (Museums, Libraries, etc.)

Information Systems

metadata

values-in-design

Relevant Thesis-Based Degree Programs

Archival Studies and Library Information Studies, Master of Archival Studies and Master of Library and Information Studies

Library and Information Studies, Master of Library and Information Studies

Library, Archival and Information Studies, Doctor of Philosophy

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Affiliations to Research Centres, Institutes & Clusters

Designing for People (DFP)

Research Options

I am available and interested in collaborations (e.g. clusters, grants).

I am interested in and conduct interdisciplinary research.

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Research Methodology

Qualitative Research

Ethnography

virtual ethnography

Interviews

diary studies

critical design

Recruitment

Looking to recruit: Doctoral students

Desired start dates: 2024

Other options:

I support public scholarship, e.g. through the Public Scholars Initiative, and am available to supervise students and Postdocs interested in collaborating with external partners as part of their research.

I support experiential learning experiences, such as internships and work placements, for my graduate students and Postdocs.

I am interested in supervising students to conduct interdisciplinary research.

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Check requirements

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ADVICE AND INSIGHTS FROM UBC FACULTY ON REACHING OUT TO SUPERVISORS

These videos contain some general advice from faculty across UBC on finding and reaching out to a potential thesis supervisor.

Supervision Enquiry

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Graduate Student Supervision

Master's Student Supervision

Theses completed in 2010 or later are listed below. Please note that there is a 6-12 month delay to add the latest theses.

Diagnosing bias in the gender representation of HCI research participants: how it happens and where we are (2021)

In human-computer interaction (HCI) studies, bias in the gender representation of participants can jeopardize the generalizability of findings, perpetuate bias in data driven practices, and make new technologies dangerous for underrepresented groups. Key to progress towards inclusive and equitable gender practices is diagnosing the current status of bias and identifying where it comes from. In this mixed-methods study, we interviewed 13 HCI researchers to identify the potential bias factors, defined a systematic data collection procedure for meta-analysis of participant gender data, and created a participant gender dataset from 1147 CHI papers. Our analysis provided empirical evidence for the underrepresentation of women, the invisibility of non-binary participants, deteriorating representation of women in MTurk studies, and characteristics of research topics prone to bias. Based on these findings, we make concrete suggestions for promoting inclusive community culture and equitable research practices in HCI. Supplementary materials available at: http://hdl.handle.net/2429/77303.

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Current Students & Alumni

This is a small sample of students and/or alumni that have been supervised by this researcher. It is not meant as a comprehensive list.

Bri Watson

Doctor of Philosophy in Library, Archival and Information Studies (PhD)

Research Topic
Expanding the catalog: renaming and redescribing indigenous, Black, Queer, Disabled and communities of color in Galleries, Libraries, Achieves, Museums, and Special Collections (GLAMS)