5 10 203 https://linen-dog.lnx.warwick.ac.uk/files/original/ad7d42f01eaf103c5e46523afca3c226.pdf 200a99afebdeffa0cbd97541abc141c4 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Sciences Subject The topic of the resource Social Sciences Academic Paper An academic paper Abstract The abstract of the paper This study investigates the implications of Central Bank Digital Currencies (CB DCs) for financial systems, focusing on their impact on commercial banking models, monetary policy, and public adoption, using The Bahamas’ Sand Dollar as a case study. Employing a mixed-methods approach that integrates theoretical and econo metric modelling with public perception surveys, it provides a comprehensive under standing of CBDC integration in both theory and practice. The analysis assesses how CBDCs influence bank liquidity, lending behaviour, and the coexistence of stablecoins while capturing public awareness and acceptance levels. Findings reveal that although CBDCs enhance payment efficiency, financial inclusion, and cross-border transaction capabilities, they simultaneously challenge traditional banking intermediation and raise concerns about privacy and cybersecurity. Insights drawn from The Bahamas’ early adoption experience demonstrate the importance of public trust, technological readi ness, and regulatory clarity in shaping outcomes. Overall, this research offers evidence based guidance for policymakers and financial institutions, contributing to global dis cussions on CBDC design, financial stability, and the balance between centralised and decentralised digital assets. Meta Tags Meta tags Central Bank Digital Currency (CBDC), Monetary Policy, Financial Intermediation, Digital Finance, Financial Inclusion. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Subject The topic of the resource Economics Date A point or period of time associated with an event in the lifecycle of the resource 2025 Title A name given to the resource Exploring Public Perception and Economic Implications of Central Bank Digital Currencies (CBDCs): A Mixed-Methods Analysis Creator An entity primarily responsible for making the resource Ethan Tang https://linen-dog.lnx.warwick.ac.uk/files/original/e8eef469b783c17cea869c5e3b723eaa.pdf 60097126a978033739aee489b3b9b408 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Sciences Subject The topic of the resource Social Sciences Academic Poster An academic poster Abstract The abstract of the paper This study investigates housing inequality in Barcelona through a comparative case study of two sharply contrasting neighbourhoods: Sarrià-Sant Gervasi, one of the city’s wealthiest districts, and Nou Barris, among its most deprived. The research combines structured surveys on housing and environmental quality with in-depth resident interviews. Findings reveal significant disparities in housing conditions, affordability, and infrastructure, with Nou Barris residents experiencing substandard living environments and heightened insecurity. In contrast, Sarrià residents benefit from well-maintained, spacious homes and long-term stability. The study highlights how housing inequality in Barcelona is not just material but felt by residents, shaping wellbeing, opportunity, and the right to remain in the city. Policy recommendations include targeted investment in public housing, rent regulation, and equitable urban planning that centres the needs of vulnerable communities. Meta Tags Meta tags Inequality, Spain, Barcelona, Housing, Poverty Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Finley Doherty Subject The topic of the resource Philosophy Title A name given to the resource Housing Inequality in Barcelona Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/337e2f89932db3605643fbb1769085f1.docx 7c764d4093718398a71e4540fdfa57f2 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Who you know or what you know? Exploring the link between family income and Britain’s professions. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Sciences Subject The topic of the resource Social Sciences Academic Paper An academic paper Abstract The abstract of the paper Who you know or what you know? Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Subject The topic of the resource Philosophy Date A point or period of time associated with an event in the lifecycle of the resource 2025 Title A name given to the resource Who you know or what you know? Exploring the link between family income and Britain’s professions. Creator An entity primarily responsible for making the resource Chris Mutombo Ramazani Contributor An entity responsible for making contributions to the resource Ayse Guveli https://linen-dog.lnx.warwick.ac.uk/files/original/c22f56306ff4a7c23b83769d5a0ad6e4.png eb6de08cc6f2427ef4a4250845ffae7c Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Sciences Subject The topic of the resource Social Sciences Image A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials. Description Describe the image The image consists of a poster containing an analysis of the use of memes throughout Kamala Harris’ election campaign for 2024 US President Meta Tags Meta tags #usa #kamalaharris #bratsummer Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Memefication Of Kamala Harris’ Election Campaign Creator An entity primarily responsible for making the resource Lara Sheehy Format The file format, physical medium, or dimensions of the resource PNG Subject The topic of the resource Politics and International Studies Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/4fae51d43394e8a1a7a00a06a4b49266.pdf 4932c57732c2ddd9dc4af90c9cc50262 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Sciences Subject The topic of the resource Social Sciences Academic Poster An academic poster Abstract The abstract of the paper This research focuses on four economies: Mauritius, the United Kingdom (UK), the United Arab Emirates (UAE) and China. With their distinct economic model, these four strategically chosen countries encompass four distinct perspectives to tackle climate change. This research thus aims to highlight the importance of tailoring environmental policies according to the different countries’ context. It will investigate the conditions that have induced the implementation of such policies and provide context-based ideas for policymakers to leverage these policy benefits for a more sustainable economy. Meta Tags Meta tags Economics, Environment, Sustainability, Climate Change, Comparative Analysis, Policies Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Stephanie LEE YOU VOON Contributor An entity responsible for making contributions to the resource Dr. Samuel Obeng Subject The topic of the resource Philosophy, Politics and Economics Title A name given to the resource Comparative Analysis of Environmental Policies in Four Countries’ Contexts Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/e8361658a980a7aaadffb0b4dcd76657.pdf 3b8ee78dec6b4f99b588f011fa7d3f9e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Sciences Subject The topic of the resource Social Sciences Academic Paper An academic paper Abstract The abstract of the paper Carbon pricing has gained prominence as a policy to reduce carbon emissions across the world, with 80 carbon pricing instruments currently being implemented. Despite its benefits, scholars and policymakers remain sceptical about the benefits of carbon taxes to the broader economy, particularly their effects on international competitiveness. This study aims to answer the question: “How has Norway’s carbon tax affected its export competitiveness?” We attempt to draw a causal inference using the Synthetic Difference-in-Differences (SDID) method, leveraging Norway’s status as an early adopter of the carbon tax. Our use of this relatively new identification strategy contributes to the literature by improving internal validity. We use national-level data on the export-to-GDP ratio of 23 OECD and European countries from 1980 to 2004 to calculate the average treatment effect on the treated (ATT).  Meta Tags Meta tags carbon tax, exports, Norway Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Date A point or period of time associated with an event in the lifecycle of the resource 2025 Title A name given to the resource The Effect of Carbon Tax on Norway's Exports Subject The topic of the resource Economics Creator An entity primarily responsible for making the resource Stuti Krishnagiri, Rishita Singh and Jessica Tomson https://linen-dog.lnx.warwick.ac.uk/files/original/f106dfbae9e097fc61d4af6f587688e8.pdf 23ca740e18d33ab51d3d8625e71e1b4d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Sciences Subject The topic of the resource Social Sciences Academic Paper An academic paper Abstract The abstract of the paper Rural India continues to grapple with high school dropout rates despite decades of expanding school access. National statistics show that dropout rates climb dramatically at higher grade levels. While the primary‑school dropout rate is roughly 1.5%, the secondary dropout rate exceeds 12% and rises to around 17% in the latest UDISE+ data (Education Department, 2021; Education Department, 2020). The problem is multidimensional: poverty, distance to school, gender‑specific challenges such as menstruation, and the quality of school facilities all influence whether a child completes school. The following research project investigated how targeted donations (computers, tables, cameras, cycles, sanitary pads and similar resources) and school‑level facilities influence student attendance, retention, learning enjoyment, etc. in two rural schools in Maharashtra. A mixed-methods approach was used, combining surveys of 174 students and teachers with qualitative conversations with headmasters to understand local conditions and perceptions. Key findings show that school facilities have a multi-dimensional impact on students’ educational experiences. Improvements to sanitation and menstrual hygiene facilities most strongly enhanced attendance and wellbeing among girls, while bicycles reduced the strain of long commutes. Upgraded classrooms, libraries, and computer access improved motivation, enjoyment, and engagement across all grades, and students also perceived better-equipped environments as strengthening teaching quality and community participation. Overall, the findings demonstrate that donor-supported facilities complement government schemes by addressing both material and social barriers to schooling. Sustained investment in sanitation, transport, and learning infrastructure is therefore essential not only for reducing dropout but also for creating more inclusive and motivating learning environments in rural India. Meta Tags Meta tags Education, Rural India, Public Policy, Sociology Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Subject The topic of the resource Economics Date A point or period of time associated with an event in the lifecycle of the resource 2025 Contributor An entity responsible for making contributions to the resource Rebecca Morris, Tom Perry Title A name given to the resource Perceived Impact of Donated Facilities in Rural Maharashtra Creator An entity primarily responsible for making the resource Aditya Patel https://linen-dog.lnx.warwick.ac.uk/files/original/1d9bc6ed7a42b2098c402b5e2e1236b9.pdf b2da2219a5e0e09860cef3d310327603 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Sciences Subject The topic of the resource Social Sciences Academic Paper An academic paper Abstract The abstract of the paper This paper evaluates the forecasting performance of various econometric and machine learning approaches for predicting UK headline Consumer Price Index (CPI) inflation. Following the methodology of Stock and Watson (2007), I conduct pseudo-out-of-sample forecasts over multiple horizons (1, 2, and 4 quarters) using a comprehensive set of macroeconomic activity variables. My econometric models include Vector Autoregression (VAR), Vector Error Correction Models (VECM), and traditional benchmarks such as rolling IMA(1,1) and autoregressive models. Machine learning methods encompass Random Forest, XGBoost, Support Vector Regression, and Kernel Ridge Regression algorithms, implemented following the nonlinear framework of Coulombe et al. (2020). To address model uncertainty, I im- plement a hierarchical model combination framework using predictive performance- based weighting schemes that adapt through rolling re-estimation. Results indicate that while traditional econometric benchmarks remain competitive, particularly the rolling IMA(1,1) model, Random Forest demonstrates consistent and statistically significant improvements across all forecast horizons. The VECM approach shows horizon-dependent performance, improving from substantial underperformance at short horizons to near-parity at longer horizons. My findings contribute to under- standing inflation dynamics in the UK context and demonstrate the importance of algorithm selection in machine learning applications to macroeconomic forecasting. Meta Tags Meta tags Machine Learning, Data Science, Economics, Econometrics, Artificial Intelligence Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Subject The topic of the resource Economics Date A point or period of time associated with an event in the lifecycle of the resource 2025 Contributor An entity responsible for making contributions to the resource Under the supervision of Professor Mark Steel. Title A name given to the resource Hierarchical Model Combination for UK Inflation Forecasting: Integrating Econometric and Machine Learning Models Description An account of the resource Machine Learning in Forecasting Inflation Creator An entity primarily responsible for making the resource Nitay Carmi Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Sciences Subject The topic of the resource Social Sciences Hyperlink A link, or reference, to another resource on the Internet. URL https://ecoyourself604230209.wordpress.com/ Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The ghost of Franco: memory, controversy and change Description An account of the resource A blog about how the fiftieth anniversary since the death of Franco has affected the autonomous regins and whether the autonomous regions are more divided in remembering his death, focusing on infrastructre Creator An entity primarily responsible for making the resource Orla Al-Khalili Subject The topic of the resource Philosophy Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/db1686f2d21674be44a18e6583461d11.pdf d8b51d96cf31fd8ec7d9f97cf4c85b55 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Sciences Subject The topic of the resource Social Sciences Academic Paper An academic paper Abstract The abstract of the paper Semi-structured interviews with primary school staff on their understanding of gender and the perpetuation of gender norms in the primary school classroom Meta Tags Meta tags Gender norms, Primary education, Teacher perceptions, Gender in education, Semi-structured interviews Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Subject The topic of the resource Sociology Date A point or period of time associated with an event in the lifecycle of the resource J2025 Contributor An entity responsible for making contributions to the resource Prof Rachel Lewis Title A name given to the resource Gender and Education Creator An entity primarily responsible for making the resource Emily Goodman