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Access to screen culture in an algorithmic age

During the course of their PhD, the candidate will drive a research project that investigates how the use of algorithms in search and recommendation systems affect the discoverability of content, including:long tail and back catalogue contenton subscription video-on-demand (SVOD) servicesinternet platforms.The project will explore how digital tools can be developed and used to study the impacts of search and recommendation systems, and examine the regulatory options that might be used to address potential problems in the discoverability of culturally or …

Study level
PhD
Faculty
Faculty of Business and Law
School
School of Law
Research centre(s)
Digital Media Research Centre

Tree-chain: a fast lightweight consensus algorithm for IoT applications

In recent years, blockchain adaptation in IoT has received tremendous attention due to its salient features including distributed management, security, anonymity, and auditability. However, conventional blockchains are significantly resource demanding and suffer from lack of throughput, delay in committing transactions, and low efficiency. We recently introduced a novel blockchain consensus algorithm known as Tree-chain, that bases the validator selection on an existing feature in all blockchains: hash function. Tree-chain achieves a fast throughput while ensuring the randomness and unpredictability of …

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Computer Science

Designing efficient sampling algorithms for ensemble ecosystem modelling

This project seeks to use a combination of matrix algebra and advanced Monte Carlo methods for rare-event simulation to identify efficient algorithms for ensemble ecosystem modelling in large ecosystems. This project has the potential to significantly change the methods that researchers useto investigate complex ecosystems for the purposes of environmental management and future predictions.Ensemble ecosystem modelling (EEM) is a novel and increasingly popular method for generating predictions of future species abundance in complex ecosystems represented by generalisations of the Lotka-Volterra …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

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