Arianna Manzini is a Wellcome Trust-funded DPhil student at the Oxford Department of Psychiatry. She is supervised by Professor Ilina Singh (Department of Psychiatry) and Dr Nina Hallowell (Ethox Centre). Her research within the BeGOOD team focuses on children and adolescents’ perspectives on the ethical issues emerging from the recent genetic and neuroscientific advances in the identification of biological correlates to psychiatric illnesses. Arianna holds an undergraduate degree in Philosophy from Università Vita-Salute San Raffaele (Milan, 2014), an MA in Philosophy, Politics, and Economics of Health from University College London (2015), and an Erasmus Mundus MSc in Bioethics from KU Leuven (2016).
Arianna is interested in empirical ethics, particularly the ways in which ethics, if considered as an integral part of science, can increase researchers’ awareness of the potential benefits and harms of their studies, and so enrich the implementation of scientific discoveries. She believes that “lay people” should contribute to this ethical reflection and she is excited about starting her academic career to give them a voice in the national and international debate.
View Arianna’s University of Oxford profile
Publications
Manzini, A., R. Mortimer and Singh (2017). “Parental Responsibility in the Context of Neuroscience and Genetics.” Cambridge Quarterly of Healthcare Ethics 26(4): 681-685.
McKeown, A., R. E. Mortimer, A. Manzini, I. Singh (In Press) “Is Coercion ever Beneficent?” Mental Health as Public Health: Interdisciplinary Perspectives on the Ethics of Prevention. K. Cratsley and J. Radden (eds), Elsevier
Pavarini, G., J. Lorimer, A. Manzini, E. Goundrey-Smith, Singh (In Press) “Co-producing Research with Youth: The NeurOx Young People’s Advisory Group Model”. Health Expectations.
Kretzschmar, K., H. Tyroll, G. Pavarini, A. Manzini, Singh and NeurOX Young People’s Advisory Group (2019). “Can your phone be your therapist? Young people’s ethical perspectives on the use of fully automated conversational agents (chatbots) in mental health support.” Biomedical Informatics Insights 11, PMC6402067.
