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Decision modelling in blockchain adoption and environmental implications

Due to the decentralised and immutable nature of distributed ledger systems, blockchain has become a critical priority for organisations across the world. The global blockchain market is expected to grow from $1.57 billion in 2018 to $162.84 billion by 2027.From an ecological perspective, blockchain has raised environmental concerns due to increasing computational power that is required to operate energy-intensive consensus mechanisms. However, it also has the potential to help promote renewable energy through a variety of blockchain-based use cases such …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Information Systems

Decision modelling to overcome intergenerational discounting

This project aims to address a key obstacle to climate action: intergenerational discounting, a phenomenon that explains the tendency for people to prefer smaller benefits for themselves now, rather than larger benefits for future generations. Intergenerational discounting becomes even more problematic due to a growing global population and increasingly intensive use of natural resources.In this project, we follow the design science approach and aim to establish design principles necessary for decision modelling to overcome intergenerational discounting and achieve genuine and …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Information Systems

Conservation is a noisy business: modelling the effects of stochasticity on wildlife management decisions

To conserve species in disturbed natural environments, we need to use mathematical models to predict the consequences of different interventions. Unfortunately, these models are based on partial information of complex systems, and the systems themselves are subject to substantial observational and process noise.We often use ordinary differential equations to describe ecosystems, like the classic logistic growth model:dn/dt = r n (1 - n / k)However, these models are deterministic, and they assume we know the values of the key parameters …

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

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