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Carolyn Ten Holter

Personal photo - Carolyn Ten Holter

Carolyn Ten Holter BA(Oxon), PgDip, MA

Doctoral Student
Research Assistant

T: 01865 283580

39a St Giles, Oxford, OX1 3LW


Completed Projects:


I am a Researcher in the Responsible Technology Institute, with over twenty years’ experience in the private sector. I am currently investigating responsible innovation in novel technologies, including autonomous vehicles, taking an interdisciplinary approach to socio-technical problems. This draws on my background in law, information organisation, and industry. I work with policymakers, commercial organisations, and academia to draw together cross-sector understandings of challenges in novel technologies.

My doctoral research is investigating responsible research and innovation practice in emerging technologies, in particular quantum computing. This is examining the 'triple-helix' model of academia, industry and policy and the complex interactions between these areas in the development of novel technologies. In general I am focused on responsible innovation as a practice in various disciplinary areas.

I am theme representative on the editorial board of Inspired Research, the departmental publication, and sit on the editorial board of the Journal of Responsible Technology. I am also a divisional research staff representative on the Research Staff Hub, which is engaged in delivering the Concordat framework across the University


I read law at New College, then moved into marketing communications in a variety of industries, including start-up finance, oil & gas exploration modelling and hi-tech PR. I was head of marketing at law firms in the City of London and in Oxford. While completing my Masters, I worked on the ORBIT project, which trains researchers in the principles of Responsible Research and Innovation. I commenced my DPhil studies in responsible quantum computing in October 2019 and joined the Responsible Technology Institute as a Research Assistant in November 2020. I now work on the RoAD project, which looks at autonomous vehicle data collection.

See also

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