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UWO

Western University
Country: Canada
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27 Projects, page 1 of 6
  • Funder: NSF Project Code: 9530427
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  • Funder: NSF Project Code: 6113082
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  • Funder: UKRI Project Code: NE/T014482/1
    Funder Contribution: 7,609 GBP

    MRC : Heather Grant : MR/N013166/1 HIV is still a huge burden world-wide, with 1.7 million new infections each year (UNAIDS, 2019). The roll out of anti-retroviral therapies (ART) has worked to reduce the numbers of AIDS related deaths and onward transmissions, but to curb further infections still, UNAIDS goals are that 95% of the population should know their status, 95% of those should be on treatment, and 95% of those should be virally supressed. Characterising drivers of new infections will help to identify gaps to be closed. Comparing viral sequences from different patients can be used for epidemiological studies. HIV sequence data for the polymerase gene (pol) is routinely collected for drug-resistance testing, but can then be used secondarily for these purposes, once anonymized, keeping only basic demographic information. Genetic distance (that is, the number of mutational differences between any two viruses) can be used to link closely related viruses together. (A lower genetic distance suggests they shared a common ancestor more recently). HIV mutations are introduced into the genome with each replication cycle. Mutation is said to have its own 'clock' so that changes builds up, on average, in a predictable way over time. Therefore, the genetic distance and time of sampling, can be used to draw linkage, infer networks, patterns of transmission, and other characterisations of the network such as degree distribution. These insights tied with demographic information can inform public health policy. For instance, individuals from groups deemed at high-risk might be advised to take pre-exposure prophylaxis (PrEP). HIV diversity is extremely high, since the virus has been evolving in humans for maybe a hundred years, long before it was first described. It is classified into major lineages (subtypes) that formed early on during its expansion. Where an individual is infected with more than one HIV variant, recombination between the two can occur, creating a hybrid virus, and thus more diversity. This almost certainly happen between two identical viruses from the same infection, but will be undetectable since the new virus is the same as both parents. Where highly divergent viruses recombine, (such as those from different subtypes), this becomes more obvious as there is enough signal to distinguish the two parental viruses. This process of recombination between divergent viruses breaks apart linkages, where one half of the genome might link to the first parental virus, and the other half to the second. Now, if the whole sequence was to be considered in a linkage analysis, no connections would be made as the new sequence is now sufficiently different to both parents. As HIV moves along the transmission network, it will occasionally find itself part of a dual infection, and may take part in a recombination event. This could happen at any time point in time, making it more difficult to spot, as other mutations build up, and the molecular clock moves the virus forward. Dynamic Stochastic Block Modelling is a way of modelling network data, and in our case will be used to find groups or communities of similar viruses over time. This approach will better classify HIV diversity and model networks over time; highly appropriate for a fast-evolving recombinogenic virus. Simulation experiments will be carried out to test the principle and validate the approach. Finally, we will apply this to near-full genome HIV data from Uganda. This research will be undertaken under the supervision of Associate Professor Art Poon in the Department of Pathology and Laboratory Medicine at Western University, Ontario, Canada.

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  • Funder: UKRI Project Code: NE/T014172/1
    Funder Contribution: 13,241 GBP

    In recent years, there has been a tremendous shift in the use of digital technologies in work, with the internet becoming a key facilitator in the organisation of work itself. This includes "on-demand work", a locally place-based form of work in which 'self-employed' workers are hired using digital platforms (or applications) to carry out in-person services on a per-gig basis. The on-demand economy now has an expanding global presence, with the growing and widespread use of ridesharing platforms such as Uber and Ola, food-delivery platforms such as Uber Eats, Deliveroo and Zomato and home-task platforms such as TaskRabbit and Housekeep. On-demand work has proliferated largely in urban spaces across the globe, with the growing recognition that digital platforms are transforming the nature of cities. As platform enterprises become more embedded in the fabric of cities, the resulting flexibilization of work has phenomenal impacts on urban residents. With numerous legal cases emerging worldwide to understand whether these service platforms are in fact employers or 'aggregators' linking customers to a 'service provider' as they claim, the relevance of understanding the relationship between platforms and the urban space is now more prominent, than ever. The significance of this project is rooted in its aim to develop new, relevant and nuanced understandings of the changing nature of urban space and work as a result of the growing prominence of on-demand platforms in cities, an integrated perspective which is missing from scholarly literature. Developing a new theory to integrate the co-extensive phenomena of platform urbanism and on-demand work will provide relevant and applicable ways for scholars and practitioners to understand the contemporary social relations of cities and urban denizens. Analysing numerous cases of platform economy manifestations, and mobilizing postcolonial and feminist approaches to think about on-demand service platforms in urban spaces, the project seeks to provide insights into a more egalitarian and less-exploitative platform politics, recommending ways in which labour rights including security and welfare can be 'built into' these platforms in different contexts. Developing nuanced narratives and addressing approaches required for different types of work platforms - e.g. transport, food-delivery, domestic work, care work, home services - the project will present recommendations in the form of a whitepaper brief which will be submitted for publication with the Centre for International Governance innovation (CIGI). This can be taken up by scholars, practitioners, government and other experts in the three areas that the research will be primarily focused on and that the researchers have links to - Canada, the UK and India. Providing contextual comparisons and insights from these contexts will contribute to an understanding of how cities across the globe are changing, and how Canada's cities can learn from, or provide learnings to, others. Working with Dr Leszczynski - whose current SSHRC-funded work looks at on-demand service platforms in the Canadian context - will facilitate cross-comparison insights through which we can use examples from outside of Canada to understand the contemporary transformations of Canadian cities. It will also enable me to take learnings from the Canadian context, which can be applied to cities in UK and India.

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  • Funder: UKRI Project Code: NE/W006707/1
    Funder Contribution: 649,335 GBP

    The geodynamo is the engine at the heart of our planet generating our protective magnetic field. Today, the geodynamo is powered by the freezing of iron onto the ever-growing solid inner core, but in the past the geodynamo is thought to have been driven by purely thermal energy, just like a pot of boiling water. The switching between these two power sources represents Earth's largest energy transition. When it happened, and what power source kept "the engine running" during the switch is not well constrained. Earth's magnetic field is generated by the geodynamo, so changes in Earth's ancient magnetic field may be the only way to detect this energy transition. The geodynamo energy transition represents the dying thermal power source and should be marked by a period of extremely weak magnetic field. This weak field can be preserved in rocks because nanoscale magnetic particles found within them lock in memories of the ancient magnetic fields in which they formed. However, over time these magnetic memories fade, but for some particles, their memories fade much faster than we expect, giving rise to false records of the ancient Earth, which appear to be weaker than they really are. Our best estimate for the geodynamo energy transition is during the Ediacaran, around 550-600 million years ago. Recent studies of this time period have revealed an extremely weak magnetic field, more than ten times weaker the field today, which may indicate a dying thermally driven dynamo just prior to the transition. The results from some of these studies, however, have characteristics that are typical of forgetful magnetic particles. This raises a critical question: Are weak signals from "forgetful" rocks being confused with a weak dynamo undergoing a major energy transition? To address this, we are using a pioneering new approach to seamlessly integrate the laboratory experiments used to determine ancient field strengths with recent theoretical advances in simulating the behavior of magnetic particles. Taking samples that preserve a weak Ediacaran field, we will decompose them into their constituent magnetic particles. Then, using new micromagnetic models (models that predict magnetic behavior at the molecular level) we will reassemble the samples numerically and simulate their magneto- geological history. With this approach we will determine if the weak field these samples remember is a faithful memory of the field half a billion years ago and the implications this has for Earth as it experienced a major transition of its internal power. Furthermore, with this new workflow for integrating experimental observations and emergent theory, it will be possible to apply our pioneering techniques to tackle key paleo-, rock and environmental questions spanning a diverse range of disciplines, from tectonics to archeology, or volcanology to the evolution of the Moon, Mars and other planetary bodies.

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