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              <text>This project is an arts-based research study designed to explore the specific physical, emotional, and systemic challenges, pressures, or forms of oppression that young Black women face in society today. </text>
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              <text>Identity, women of colour, black women, creative research, participant led, photography, fashion, theatre, African and Caribbean studies </text>
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                <text>Worn stories: second skin </text>
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                <text>Fafa Wormenor</text>
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                <text>Thi Bogossian</text>
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              <text>This project asks whether the securitisation of UK economic security is driven by objective vulnerabilities in energy and trade, or by the use of security framing as a political strategy to advance contested agendas while limiting normal oversight. It tests the question by auditing six UK policy decisions taken since 2021 against the security criteria their own public justifications invoked. Energy security is measured through availability, affordability, diversity, reliability and resilience. Trade security is measured through market access, partner diversification, exposure to unilateral discretion and stability of terms, drawing on Hirschman and on Farrell and Newman’s work on weaponised interdependence. Five of the six policies fail their own test. The ban on Russian energy imports removed a small exposure but did nothing about the mechanism that passed the 2022 price shock on to British consumers. North Sea licensing is defended on security grounds by both its supporters and its opponents, yet neither position delivers the price security claimed. The UK holds roughly 12 days of gas storage, compared with 89 in Germany and 103 in France, and this drew no significant policy response. Meanwhile the United States now supplies 76% of UK LNG imports and takes 21.7% of UK exports, a concentration that has received almost no security scrutiny. The project concludes that security language in UK economic policy works mainly as a justification attached to decisions made on alliance, environmental or domestic political grounds. It proposes that any economic security claim be accompanied by a published assessment of the exposure it addresses.</text>
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              <text>Politics, Political Security, Trade Security, Energy Security</text>
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                <text>‘To what extent is the securitisation of national economic security in the UK driven by objective economic vulnerabilities - particularly energy security and trade dependency - versus the use of security framing as a political strategy to advance contested economic agendas while limiting normal oversight and contestation?’</text>
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                <text>Solomon David Ellwood Lever</text>
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                <text>Chris Browring (Supervisor)</text>
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                <text>Politics</text>
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              <text>Universities in the UK are under growing pressure to improve their entrepreneurial output, with graduate start-ups becoming an increasingly important knowledge exchange outcome. Studies suggest that graduate start-up outcomes are linked to resources invested in a university’s ‘teaching’ mission, such as entrepreneurial education and training. However, results remain mixed and associational. This paper therefore asks whether increased university teaching focus causes an increase in graduate start-up creation and turnover. Using data from the Higher Education – Business and Community Interaction survey from 2008/09 to 2014/15, this paper exploits the 2012 tuition fee reform in England to proxy for an increased focus on English universities’ teaching missions and estimates a difference-in-differences model with Scottish universities as a control. The results show that after the reform, there was a significant increase in English graduate start-up creation compared to Scotland. The result is not driven by elite or London-based institutions. However, the effect loses significance in an uncontrolled specification from 2008/09 to 2024/25. There is also largely no evidence of an effect on graduate-start up turnover throughout.</text>
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              <text>Entrepreneurship, Teaching, Knowledge Exchange,  Universities</text>
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                <text>The Impact of Teaching on Graduate Entrepreneurship in the UK: Evidence from England and Scotland, 2008/09–2014/15</text>
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                <text>Investigating whether increased HEI teaching focus causes an improvement in graduate start-up outcomes.</text>
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                <text>October 2026</text>
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                <text>Argyris Demetriou</text>
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                <text>Rough Paths and its applications to stochastic differential equations</text>
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                <text>Alexander Barrett</text>
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              <text>A k-page book consists of a straight line, called the spine, and k half-planes, called pages, sharing the spine as their boundary. A k-page book drawing of a graph G places the vertices on the spine and draws each edge on a single page. The k-page crossing number is the minimum number of edge crossings over all possible k-page drawings. Finding a crossing-free book drawing with minimum number of pages(Book Thickness) and minimizing crossings for a fixed k (Book Drawing With Crossing Minimization) are both NP-hard. Recent works established fixed-parameter algorithms for Book Thickness parameterized by the vertex cover number and the vertex integrity, respectively [1, 2]. In this paper, we present the main ideas of these works and derive separate fixed-parameter algorithms for Book Drawing with Crossing Minimization w.r.t. the vertex cover number and the vertex integrity number.</text>
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              <text>Mathematics, Computer Science, Combinatorics, Embedding, Parameterised Algorithms,  Book Thickness,  Crossing, Minimization, Vertex Cover, Vertex Integrity</text>
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                <text>Parameterised Algorithms for Book Drawings with Crossing Minimization</text>
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                <text> October 2026</text>
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                <text>Vladimir Brankovic</text>
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              <text>The TESS mission has discovered many long-period exoplanets which transit only once. These planets represent an understudied population of temperate planets and recovering their orbital periods would provide insightful tests for models of planet formation and migration. With significant follow-up of such planets from both space- and ground-based observatories, there is a need to efficiently detect epochs which are well matched to known transit shapes in photometric datasets. This report describes the calibration of the template-matching search adopted in the BRUCE package, a Python library for modelling and fitting transiting planets and eclipsing binaries. The likelihood-ratio statistic returned by the scan is standardised into a matched-filter signal-to-noise ratio (S/N), z, which is exactly Gaussian under white noise, before being whitened by its own median absolute deviation over each scan. Six noise conditions, each with 2,500 realisations, were used to measure the false-alarm rate at local probabilities of 10^(-3) and 10^(-4). Under quasi-periodic spot modulation and granulation, the raw statistic produced false alarms at 230 and 103 times the nominal rate at 10^(-3) and up to 1,900 times at 10^(-4). The whitened statistic held every condition to within factors of 1.3 and 1.9, respectively. To test the sensitivity of the search, we performed an injection-recovery test on a grid of 51,200 synthetic TESS light curves: recovery was found to follow lines of constant single-transit S/N and the false-peak rate to scale inversely with template width. We conclude that this whitened matched-filter S/N statistic is the correct choice for the pipeline, as a single threshold is valid under both white and correlated noise, allowing further TESS single-transit candidates to be detected with a known false-alarm probability.</text>
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              <text>Exoplanet, TESS, NGTS</text>
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                <text>A whitened matched-filter statistic for detecting single exoplanet transits in survey photometry</text>
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                <text>Exoplanet detection</text>
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              <text>This paper investigates whether the post-COVID rise in rural female labour force par- ticipation (RFLFP) in India reflects distress-driven labour supply. Using a state-level pseudo-panel constructed from the Periodic Labour Force Survey between 2017-18 and 2023-24, we measure states’ exposure to the COVID-19 shock using the pre-pandemic share of rural male non-farm employment in lockdown-vulnerable industries. We esti- mate an event-study difference-in-differences model with state and year fixed effects to test whether more exposed states experienced larger increases in RFLFP. Rural female participation rose from 24.6% to 47.6% over the period, with unpaid family helpers ac- counting for approximately 55% of this increase; participation excluding unpaid helpers also rose from 15.0% to 25.3%. The rise began before the pandemic and shows no sign of unwinding afterwards, so its timing is inconsistent with a purely COVID-specific distress response. Our test finds no statistically significant evidence that states with higher pre- pandemic male employment vulnerability experienced larger post-pandemic increases in RFLFP, but the estimates are imprecise and sensitive to weighting and to individual states. They therefore neither confirm nor reject distress as a driver of the rise.</text>
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              <text>Labor Economics, Gender Economics, Development Economics</text>
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                <text>Driven by distress or built to stay?&#13;
How pre-COVID male employment vulnerability shaped regional rural female labour force participation: Evidence from India from 2017 to 2024</text>
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                <text>Valliammai Subramanian, Suchismita Roy, Sarah Sajan</text>
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              <text>This paper investigates whether the post-COVID rise in rural female labour force par- ticipation (RFLFP) in India reflects distress-driven labour supply. Using a state-level pseudo-panel constructed from the Periodic Labour Force Survey between 2017-18 and 2023-24, we measure states’ exposure to the COVID-19 shock using the pre-pandemic share of rural male non-farm employment in lockdown-vulnerable industries. We esti- mate an event-study difference-in-differences model with state and year fixed effects to test whether more exposed states experienced larger increases in RFLFP. Rural female participation rose from 24.6% to 47.6% over the period, with unpaid family helpers ac- counting for approximately 55% of this increase; participation excluding unpaid helpers also rose from 15.0% to 25.3%. The rise began before the pandemic and shows no sign of unwinding afterwards, so its timing is inconsistent with a purely COVID-specific distress response. Our test finds no statistically significant evidence that states with higher pre- pandemic male employment vulnerability experienced larger post-pandemic increases in RFLFP, but the estimates are imprecise and sensitive to weighting and to individual states. They therefore neither confirm nor reject distress as a driver of the rise.</text>
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              <text>Gender Economics, Labour Economics, Development Economics</text>
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                <text>Driven by distress or built to stay? How pre-COVID male employment vulnerability shaped regional rural female labour force participation: Evidence from India from 2017 to 2024</text>
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                <text>Valliammai Subramanian, Suchismita Roy, Sarah Sajan</text>
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photo-activated crosslinker blends</text>
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