Dr. Cal Volks

Assistant Professor

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Biography

Cal Volks' research uncovers how digital platforms shape donor reproductive practices and kinship identity formation in donor-assisted reproduction. His work shows that online spaces allow Australian egg and sperm donors and recipients to meet online, negotiate relationships, and co-construct moral and ethical norms involving donor, recipient, and donor-conceived child triads. His studies reveal that digital infrastructures uncover new forms of reproductive citizenship. Cal has previously worked in the HIV/AIDS & Inclusivity Unit at the University of Cape Town, where he conducted research and taught students in developing and evaluating sexual reproductive health interventions. Currently, he is a research fellow at Monash University, collaborating with Prof. Andrea Whittaker on an ARC grant focused on oocyte mobilities and uterus transplants in Southern Africa. Cal has delivered and engaged in a range of policy education interventions targeting various stakeholders, ensuring that his research has a real-world impact.

Research Interests

Experience

Research Fellow

— Present

Monash University • Melbourne, Australia

Investigating digital reproductive practices and collaborating on ARC grants.

Awards

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Erasmus Mundus Scholarship

2014-01-01
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Mellon Grant for Women in Higher Education Leadership Training Programme

2002-04-01
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SASH Grant

2016-01-01

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.