Fully Funded PhD Studentship - Harnessing Big Data to Accelerate Evaluation of Infection Outbreak
Social media and local news hold huge untapped potential as indicators of infectious disease outbreaks and resistance threats, yet the automatic processing and sense-making of vast amount of natural language unstructured data is still an enormous challenge. The project will combine two innovative and emerging AI technologies – Argument Mining (Lawrence et al. 2017) and Ethos Analytics (Duthie et al. 2016) – for which the Centre is a world leader and is working with IBM and the BBC. By building techniques to assess the content and credibility of such data at very large scale, we will deliver an early warning system for infection outbreaks. We will partner with Health Protection Scotland to align with the MRC’s Infections Priority Challenge (MRC Delivery Plan 2016-2020).
Duthie, R., Budzynska, K & Reed, C. (2016) “Mining Ethos in Political Debate” in Baroni, P., Stede, M. & Gordon, T. (eds) Proceedings of the Sixth International Conference on Computational Models of Argument (COMMA 2016), IOS Press, Potsdam, pp299-310
Lawrence, J., Snaith, M., Konat, B., Budzynska, K. & Reed, C. (2017) “Debating Technology for Dialogical Argument: Sensemaking, Engagement and Analytics”, ACM Transactions on Internet Technology, 17 (3)
Closing date: 20 April 2018.