ALGORITHMIC GENDER BIAS IN HEALTH AND SOCIAL CARE 1+3 STUDENTSHIP (MASTERS AND PHD) Economic and Social Research Council (ESRC) ARTIFICIAL INTELLIGENCE 2018 South Coast Doctoral Training Partnership Applications are invited for an interdisciplinary four-year PhD studentship at the research Centre for Digital Media Cultures and the Centre for Applied Data Analytics at the University of Brighton. We invite candidates with a social sciences or computer sciences background, or both. The successful candidate will join an internationally recognised team of researchers to investigate the ways in which algorithmic gender bias occurs, and understand how it can be mitigated against, in the specific context of Health and Social Care (H&SC) provision. You will a) map algorithm-based systems currently in use by H&SC providers, b) develop methods that identify gender bias within AI systems, and c) examine ways in which bias can be removed. This PhD studentship will provide an outstanding training in social research methods and computer science data analytics, to produce insights into algorithmic bias, and to develop thorough understanding of the social, economic, cultural, ethical and governance aspects of Artificial Intelligence for future societies. The successful candidate will be supervised by Prof Flis Henwood (School of Applied Social Sciences), Dr Aristea Fotopoulou (School of Media), and Prof Anya Belz (School of Computing, Engineering and Mathematics). The University of Brighton has internationally recognised strengths in AI research in social science, arts and humanities and computer science contexts, spanning research fields such as data analytics, natural language processing, human-computer interaction and systems security, computer graphics, dialogue and narrative generation, and novel user experiences including Augmented/ Virtual/Mixed Reality. The student will be formally located in the School of Applied Social Sciences but have access to outstanding cross-disciplinary research environments through participation in both the Digital Media Cultures and Applied Data Analytics research centres, enabling them to develop the necessary skills and competences in social framing of technologies, computational technologies, economic imperatives, cultural effects, ethics and governance of Artificial Intelligence for future societies. Eligibiliy We fund students who will undertake Masters + PhD programmes (1+3 funding) and stand-alone PhD programmes (+3 funding). For the Masters + PhD route, you are expected to have a good honours degree at first or upper second-class level, from a UK academic higher education institution or international equivalent, in a relevant social sciences discipline (e.g., anthropology, geography, media and cultural studies, politics, psychology, science and technology studies, sociology) or in computer science, data science, mathematics, or statistics. For the stand-alone PhD programme (+3 PhD award) you would have achieved a level of research training that would allow them to proceed directly to PhD. This is usually through the attainment of a previous masters qualification in the social sciences with a Distinction grade. For more information about how to apply please see: https://www.brighton.ac.uk/research-and-enterprise/postgraduate-research-de grees/funding-opportunities-and-studentships/2018-algorithmic-gender-bias-i n-health-and-social-care.aspx Deadline for applications: Sunday 4 November 2018, 11.59pm Best wishes Aristea ----------------------------- Dr Aristea Fotopoulou Principal Lecturer in Media and Communication Course Leader MA Digital Media, Culture and Society School of Media University of Brighton Watts Building, Lewes Road Brighton BN2 4GJ A.Fotopoulou@brighton.ac.uk |@aristeaf Research blog: www.Loopingthreads.com | Webpage http://arts.brighton.ac.uk/staff/aristea-fotopoulou New book: "Feminist Activism and Digital Networks: Between empowerment and vulnerability". Palgrave Macmillan. Order: http://www.palgrave.com/gb/book/9781137504708 New book chapter: From networked to quantified self: Self-tracking and the moral economy of data sharing in https://www.routledge.com/A-Networked-Self-and-Platforms-Stories-Connection s/Papacharissi/p/book/9781138722682 ___________________________________________________________ This email has been scanned by MessageLabs' Email Security System on behalf of the University of Brighton. For more information see: https://staff.brighton.ac.uk/is/computing/Pages/Email/spam.aspx