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Welcome to "Voices in Research: Student Perspectives on Multidisciplinary Studies," a podcast brought to you by us, Puyu and Laxmi, students at Reuben College, University of Oxford.
Joining us today is Erin Canning. Erin Canning is a DPhil student at the University of Oxford (Oxford e-Research Centre, Department of Engineering Science) funded through the AHRC CDP scheme and co-supervised by the V&A Museum. Prior to beginning their studentship, Erin held the position of Ontology Systems Analyst at the Linked Infrastructure for Networked Cultural Scholarship project (LINCS). Erin holds Masters degrees in Information (MI) and Museum Studies (MMst) from the University of Toronto, where they conducted research examining how art museum information systems could be designed to accommodate affect as a fundamental way of knowing material culture. Erin is interested in the possibilities that semantic data modelling offers for structuring cultural heritage knowledge and data in more holistic and inclusive ways, as well as feminist and queer approaches to museum data practices.
We extend our gratitude to the Reuben PER Innovation Fund and the college for their generous support of this project.
By Puyu and LaxmiWelcome to "Voices in Research: Student Perspectives on Multidisciplinary Studies," a podcast brought to you by us, Puyu and Laxmi, students at Reuben College, University of Oxford.
Joining us today is Erin Canning. Erin Canning is a DPhil student at the University of Oxford (Oxford e-Research Centre, Department of Engineering Science) funded through the AHRC CDP scheme and co-supervised by the V&A Museum. Prior to beginning their studentship, Erin held the position of Ontology Systems Analyst at the Linked Infrastructure for Networked Cultural Scholarship project (LINCS). Erin holds Masters degrees in Information (MI) and Museum Studies (MMst) from the University of Toronto, where they conducted research examining how art museum information systems could be designed to accommodate affect as a fundamental way of knowing material culture. Erin is interested in the possibilities that semantic data modelling offers for structuring cultural heritage knowledge and data in more holistic and inclusive ways, as well as feminist and queer approaches to museum data practices.
We extend our gratitude to the Reuben PER Innovation Fund and the college for their generous support of this project.