Dr. Sean Dockray

Assistant Professor

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Biography

Sean Dockray is a Senior Lecturer in the Department of Fine Art at Monash University. His work as an artist and writer explores the politics of technology, with a particular emphasis on artificial intelligences and the algorithmic web. Dockray is the founding director of the Los Angeles non-profit Telic Arts Exchange and has initiated several knowledge-sharing platforms, including Public School AAAARG.ORG. Recent exhibitions include 'Data Relations' at ACCA, Melbourne, and 'House Mirrors: Artificial Intelligence Phantasm' in Dortmund, Germany. He has also participated in various performances and presentations that animate algorithmic processes and errors. Dockray's written essays address topics such as artificial intelligence in Artlink, online education in Frieze, and issues surrounding university militarization. He has been awarded the New York Prize Fellowship from the Van Alen Institute and has a practice-led PhD from the University of Melbourne, which investigates the encounters people have with algorithms in a post-industrial society. His research has contributed to discussions on listening and machine learning, co-founding the Machine Listening Curriculum to foster research and artistic experimentation in these fields.

Research Interests

Experience

Senior Lecturer

2016-01-01 — Present

Monash University • Melbourne, Australia

Teaches and conducts research in the field of Fine Art, focusing on the intersection of technology and art.

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.