Thao Phan

Dr

Accepting PhD Students

20162023

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Personal profile

Biography

Thao Phan is a feminist technoscience researcher who specialises in the study of gender and race in algorithmic culture.

She has researched and published on topics including: the aesthetics of digital voice assistants like Siri, Amazon Echo, and Google Home; ideologies of ‘post-race’ in algorithmic culture; and AI in popular culture.

Her research takes an interdisciplinary and intersectional approach, drawing on theory and methods from feminist science and technology studies, media and cultural studies, queer and gender studies, critical race studies, and critical algorithm studies.

As a Research Fellow at the Monash node of the ARC Centre of Excellence on Automated Decision-Making and Society, Thao will be working in the institute’s People Program developing creative methods to study the future of automated mobilities.

Research interests

  • Studies of gender and race in algorithmic culture
  • Feminist technoscience/feminist STS
  • Critical race and technology
  • Gendered and racialised aesthetics of digital assistants
  • 'Post-race' discourse in digital culture

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 5 - Gender Equality
  • SDG 10 - Reduced Inequalities
  • SDG 16 - Peace, Justice and Strong Institutions

Education/Academic qualification

Media and Communication Studies, PhD, University of Melbourne

Award Date: 30 Oct 2020

External positions

Convenor, Australiasian STS grad network (AusSTS)

Member, TransAsiaSTS Network

Research area keywords

  • Feminist STS
  • Feminist technoscience
  • Critical race studies
  • Media studies
  • Queer studies
  • Critical algorithm studies
  • Cultural studies
  • Algorithmic culture

Collaborations and top research areas from the last five years

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