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Ailidh Finlayson
Advanced Quantitative MethodsESRC 1+3
University of Bath, Department of PsychologyStart date: October 2022
Research topic: Individual Differences underlying the relationship between mental health and social media amongst young people
There is debate around the potential of social media to negatively impact wellbeing, particularly in young people. However, the literature base on this topic is inconclusive. My research aims to explore this potential association, particularly by investigating individual differences which may modulate the impact of social media. By triangulating evidence from self-report and passive measures of social media use, neurocognitive assessments, and both observational and experimental design, I hope to build a more nuanced view of whether specific patterns of use and/or cognitive biases predispose people to experiencing detrimental effects of social media.
Research supervisors: Dr Katherine Button, Dr David Ellis, Dr Graeme Fairchild
Email: akf39@bath.ac.uk
LinkedIn: https://uk.linkedin.com/in/ailidh-finlayson-670134183
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Bethany Taylor
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
University of Bath, Faculty of Humanities and Social Sciences, Department of Social and Policy SciencesStart date: September 2018
Research topic: Can the Development of Physical Literacy Improve Children’s Sedentary Behaviour?
Research supervisors: Martin Standage, Charlie Foster
Email: bmrt20@bath.ac.uk
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Chengxi Hu
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC +3)
University of Bristol, School of Geographical SciencesStart date: September 2016
Research topic: Prediction of population ageing trends and potential risks in China's cities
China is on the brink of a transformation to an ageing society. Population ageing also constitutes multifaceted challenges and potential risks to Chinese society. My research attempts to provide a broad macro perspective on the population ageing process and trends and forecast the future impact of these demographic changes in China’s cities. Based on the panel data of 660 cities in China and some specially selected demographic and socioeconomic variables, a prediction model shall be developed to predict ageing trends and potential risks across different cities in China. A region-level policy analysis shall also be explored.
Research supervisors: Dr Winnie Wang, Dr Junko Yamashita
Email: ch16399@bristol.ac.uk
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Diego Maury Romero
Advanced Quantitative MethodsESRC 1+3
University of Bristol, School of Geography / School of EducationStart date: September 2022
Research topic: How can we teach tomorrow’s adults the knowledge, skills, and attitudes needed to tackle global issues and intercultural situations? A multilevel modelling secondary data analysis of PISA 2018 ‘global competence’ assessments
My research aims to uncover the complex mechanisms behind the cognitive and attitudinal aptitudes of schooled teenagers to understand and tackle global issues. This will be through three interlinked studies analysing new Programme for International Student Assessment (PISA) 2018 data on Global Competence (GC) assessments with a combination of Multilevel Modelling and Structural Equation Modelling. Each study will address a specific issue: (1) the relationships between GC with student and school characteristics, (2) the role of student wellbeing and school climate measures in determining GC, (3) the impact of including global issues in national policies and school curriculums on GC.
Research supervisors: George Leckie, David Manley
Professional memberships/Positions held:
Postgrad Rep for the LGBTQ+ Society
Email: diegomauryromero@gmail.com
LinkedIn: https://www.linkedin.com/in/diego-maury-romero-08aa95b0/
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Ekaterina Melianova
Advanced Quantitative MethodsAdvanced Quantitative Methods +3
University of Bristol, School of Geographical SciencesStart date: September 2021
Research topic: Government Spending and the Two-Way Causation between Socioeconomic Status and Health in the UK: A Multilevel Structural Equations Modelling Approach
Government policies are critical in contouring patterns of health and mitigating health inequalities. Previous literature showed how such policies may determine health outcomes. However, there is a scarcity of studies investigating health benefits of government interventions in different sectors than those directly related to health. My research aims to fill this gap by longitudinally examining the effects of public health and non-health policies on individual health indicators. I utilise multilevel SEM to uncover time-prolonged effects with bidirectional relationships between a person’s socioeconomic status and health and employ the Understanding Society dataset matched with administrative records.
Research supervisors: David J Manley, Tim T Morris
Email: ekaterina.melianova@bristol.ac.uk
LinkedIn: https://www.linkedin.com/in/ekaterina-melianova-b2050285/
Twitter: https://twitter.com/egmelianova
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Elizabeth Bermeo
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC +3)
University of Bristol, School of Geographical SciencesStart date: September 2014
Research topic: Determinants of financial inclusion
My research focuses on financial inclusion from the perspective of individuals and households, specifically on the identification of socio-economic, institutional, legal, and cultural barriers that prevent individuals from using the formal financial system. Methodologically, my interests are in the application of quantitative methods including multi-level and spatial modelling to determine patterns of exclusion at national and local levels.
Research supervisors: Dr Malcolm Fairbrother, Dr Sean Fox
Professional memberships/Positions held:
Financial Inclusion Forum
Association for Women’s Rights in Development
Email: e.bermeo@bristol.ac.uk
Website/Blog: https://www.researchgate.net/profile/Elizabeth_Bermeo
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Hope Kent
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods ESRC (+3)
University of Exeter, College of Life & Environmental SciencesStart date: October 2020
Research topic: Suicidality, violence, and recidivism in the criminal justice system: Using multilevel modelling and machine learning algorithms to predict, understand, and reduce risk.
My research project is looking at applying advanced statistical models, including machine learning and multilevel modelling, to large forensic datasets. This includes datasets from prisons and from alternative provision school settings. The aim of this is to better understand and predict risk of outcomes such as violence, poor mental health, and recidivism in prisoners, and contact with the criminal justice system in adolescents. I am interested in the cumulative risk effects of the presence of neurodisabilities (including autism and traumatic brain injury), the lifetime impact of traumatic experiences, and risk factors associated with belonging to minority ethnic groups.
Research supervisors: Professor Huw Williams (Exeter), Professor George Leckie (Bristol)
Professional memberships/Positions held:
British Psychological Society Graduate Member.
Email: hnk201@exeter.ac.uk
LinkedIn: https://www.linkedin.com/in/hope-kent-4642821b5/
Twitter: https://twitter.com/HopeKent20
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Kalyan Kumar
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
University of Bath, Faculty of Humanities and Social Sciences, Department of Social and Policy Sciences/Department of EducationStart date: October 2017
Research topic: Accountability & Learning Outcomes in School Education System: Examining Cross-Contextual Public Secondary School Education Systems
Despite the progress made in the last few decades in developing countries, evidence demonstrates a lack of translation of schooling into learning. The role of systemic factors such as accountability processes continues to remain under researched amidst the prevailing challenges. In this backdrop, my research seeks to bridge the knowledge gap by studying, how accountability processes in public secondary school education systems affect the learning outcomes of students from various socio-economic backgrounds? My study employs a systems approach which views school system as a set of or a network of relationships and cumulative practices occurring in a particular format.
You can find a recent article from Kalyan here
Research supervisors: Dr Andres Sandoval-Hernandez, Dr Liz Washbrook
Email: kkk44@bath.ac.uk
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Kiran Arabaghatta Basavaraj
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
University of Exeter, Q-Step Centre, College of Social Sciences and International StudiesStart date: September 2017
Research topic: Democratizing or Disrupting? The role of Campaign (Mis)information in the 2019 National Election in India
My research examines: a) the campaign (mis)information on the social media, and b) voter perception towards misinformation, during the 2019 national election in India. Using Natural Language Processing, Machine Learning techniques and other computational methods, I explore the information space for misinformation, and measure its volume and diffusion, identify the characteristics of the content, medium of propagation (Facebook and Twitter), dissemination strategies, and examine whether the correction of misinformation matters, thereby addressing the supply-side and consumption side of the campaign misinformation. Further, through social network analysis I analyze the misinformation sharing eco-system.
Kiran has recently been selected as a Junior Fellow for the 2022 cohort of Electoral Integrity Project’s 2022 Fellowship programme, for his project “Misinformation, Campaigning and Perceptions of Electoral Integrity in India”.
Research supervisors: Professor Susan Banducci, Dr. Iulia Cioroianu
Professional memberships/Positions held:
Member: 1) Midwest Political Science Association (MPSA), 2) WAPOR Asia
Email: ka385@exeter.ac.uk
LinkedIn: https://www.linkedin.com/in/kiran-a-basavaraj-b110b214a/
Twitter: https://twitter.com/kiranabasavaraj
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Laura Scheinert
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC +3)
University of Exeter, College of Life and Environmental SciencesStart date: September 2018
Research topic: Supporting judges in asylum adjudication – the role of judicial training
My PhD explores the training of judges who hear asylum appeals. The project proposes a mixed methods approach. The purpose is to arrive at a well-rounded picture of asylum-related training and its role in supporting judges in adjudicating asylum (in the UK context). I will combine quantitative and qualitative methods, to both trace second-instance evaluations of first-instance judicial decisions (text mining “error of law” findings), and to capture relevant individuals’ views and experiences of training (observation, interviews/ focus groups). The novelty in the proposed approach lies in making a new field fruitful for text mining and mixed methods analysis.
Research supervisors: Professor Nick Gill , Dr Emma Tonkin , Dr Ana Beduschi
Email: l.scheinert@exeter.ac.uk
LinkedIn: https://www.linkedin.com/in/laurascheinert/
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Lenka Hasova
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC +3)
University of Bristol, School of Geographical Sciences/Centre for Multilevel ModellingStart date: September 2019
Research topic: Machine learning methods for Urban Flows: spatial effects in Origin- Destinations
My research looks at different forms of urban flows, such as Intra-national Migration or patients flows within City of Bristol, and explores the ways we try to predict them. This includes review of methodologies that has been developed in past, but mainly explores the suitability of Machine Learning algorithms for flow prediction. Most importantly, the focus of the research is on the spatial effects we observe in urban flow data, which are the main feature of the urban flows. Predicting human flows can be beneficial in wide range of fields, transport, urban planning and even health care.
Research supervisors: Richard Harris , Levi John Wolf
Email: lenka.hasova@bristol.ac.uk
LinkedIn: https://uk.linkedin.com/in/lenka-ha%C5%A1ov%C3%A1-88340a88/en
Twitter: https://twitter.com/LenkaHas
Website/Blog: lenkahas.com
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Maria Cristina Montero de Espinosa
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC +3.3)
University of Exeter, College of Social Sciences and International StudiesStart date:
Research topic: Impacts of corporate agri-business on Bolivia’s Indigenous Peoples: a case study of soya bean value chains in the region of Santa Cruz.
Former Bolivian president, Evo Morales, had been criticized for accommodating neoliberal policies and state-corporate alliances, widely considered to harm the people who supported his election into office. By using difference in difference with matching, as well as the synthetic control method, which is innovative to social sciences, my aim with this project is to provide new insights on the impacts of Public Private Partnerships (PPPs) for development and examine how such partnerships may, contrary to popular opinion, actually be improving the livelihoods of indigenous peoples.
Research supervisors: Dr Gabriel Katz (University of Exeter), Dr Andres Sandoval Hernandez (University of Bath)
Email: mm927@exeter.ac.uk
Twitter: https://twitter.com/MCristinaMonte3
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Mariam Cook
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
University of Exeter, Q-Step Centre, College of Social Sciences and InternationalStart date: October 2019
Research topic: A framework for democratic advance: connecting political opinion, policy, and outcomes beyond GDP
My research looks at the application of Advanced Quantitative Methods to support scalable democratic participation and policy making that incorporates wellbeing and sustainability outcome tracking and goal setting. Methodologically I am applying Natural Language Processing (NLP), probabilistic and graph-based techniques in the development of a computational framework that spans argument mining, policy analysis and econometrics. My work is inspired by two normative drivers: strengthening democracy through increasing citizen agency, and supporting fairness and sustainability as per the ‘Beyond GDP’ agenda.
Research supervisors: Professor Gabriel Katz, Professor Nick Pearce
Email: mc833@exeter.ac.uk
LinkedIn: https://www.linkedin.com/in/mariamcook/
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Maxime Perrott
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
University of Bristol, School of Education/School of Geographical SciencesStart date: October 2020
Research topic: Exploring the relationship between relative school starting age, emotional development and ADHD diagnosis in England.
My research will centre around analysis of data from the English context to provide new evidence on the interaction between relative school starting age (those youngest and oldest in the school year) and early years ‘schoolification’, the long-term consequences for children and the mechanisms that underlie any effects.
I hope to explore associations between relative school starting age and children’s emotional development in Reception class, as well as discover whether discrepancies exist between parents and teachers’ perceptions and clinical diagnosis. Then, I will investigate how relative school starting age may be associated with trajectories of academic and socioemotional development into mid-to-late-adolescence and how these trajectories may vary according to indicators of emotional development in the Reception year, gender, maternal education and birth cohort.
Research supervisors: Dr Liz Washbrook (Bristol), Dr Matt Dickson (Bath), Dr Ioanna Bakopoulou (Bristol)
Professional memberships/Positions held:
SWDTP Student Rep
Email: tj20461@bristol.ac.uk
LinkedIn: https://uk.linkedin.com/in/maxime-perrott-90aa7685
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Megan Bailey
Advanced Quantitative MethodsESRC +3
University of Bath, Department of Psychology, Faculty of Humanities and Social SciencesStart date: September 2022
Research topic: Trauma and the Psychological and Physiological Health of Children and Young People in Low- and Middle-Income Countries.
Exposure to childhood trauma is a key social determinant of health and mental health. However, while research with adults has evidenced strong associations between childhood trauma and psychopathology, research with children and young people (CYP) is limited and has yielded mixed findings. Notably, the effects of trauma on CYP in low- and middle-income countries (LMIC) has been critically understudied despite disproportionally higher rates of trauma exposure compared to CYP in high-income countries. The overall aim of my PhD is to therefore provide systematic investigation of the effects of trauma exposure on the psychological and physiological health of CYP from LMICs.
Research supervisors: Dr Graeme Fairchild, Dr Alicia Matijasevich (University of São Paulo, Brazil), Prof. Sarah Halligan
Email: mlb51@bath.ac.uk
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Mirjam Odile Nanko
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
University of Exeter, Q-Step Centre, College of Social Sciences and International StudiesStart date: September 2018
Research topic: Climate change believers and sceptics: a text-mining approach to measure their impact on the political discourse
A growing interdisciplinary literature examines the role of industry actors and conservative think-tanks in shaping the climate change debate and promoting inaction by manufacturing doubt about anthropogenic climate change. The aim of my research is to quantify the influence of these sceptics on the political discourse with a text-mining approach. The language of the sceptics is to be identified by analysing not only documents of sceptics but also of the environmental movement. Distinguishing between the two discourses will allow a nuanced textual exploration of political agendas and provide a framework for measuring the impact of each group on the political debate.
Research supervisors: Dr Travis Coan
Email: m.nanko@exeter.ac.uk
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Oby Bridget Azubuike
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC +3)
University of Bristol, School of Education/Centre for Multilevel ModellingStart date: October 2020
Research topic: Open to all, accessible by few: A multilevel modelling and secondary data analysis of access barriers to Higher Education in Nigeria and the role of parental perceptions of Higher Education
My research seeks to identify the barriers at different organisational levels that affect access to higher education (HE) in Nigeria and the additional role that parental perception of education plays. I intend to answer my research questions by conducting a programme of original item response theory, multilevel, and structural equation modelling analyses of complex clustered secondary data on two cohorts of individuals, households and communities data as it relates to access to Higher Education in Nigeria.
Research supervisors: Professor George Leckie, Professor William Browne
Professional memberships/Positions held:
SWDTP Student Rep
Email: bridget.azubuike@bristol.ac.uk
LinkedIn: https://www.linkedin.com/in/oby-bridget-azubuike/
Twitter: https://twitter.com/oby_bridget
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Olivia Malkowski
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
University of Bath, Department of Education/Department for HealthStart date: October 2020
Research topic: Developing a precision, machine learning-powered, technological intervention to promote physical activity and healthy ageing in older adults of low socioeconomic status.
Population ageing places significant pressures on health and social care services. Physical activity is one of the most promising avenues for reducing the socioeconomic burden of age-related diseases. Although mobile technologies could transform the healthcare industry, digital exclusion is stratified by socioeconomic status, emulating physical activity divides. My research will use methods such as multilevel modelling and machine learning to inform the development of a “just-in-time” adaptive intervention for older adults of low socioeconomic status. By monitoring dynamic biocultural variables (e.g. mood, physical/social environment), this digital intervention will aim to deliver personalised physical activity support when users need it most.
Research supervisors: Dr Nick Townsend (Bath), Dr Max Western (Bath), Dr Mark Kelson (Exeter), Dr Charlie Foster (Bristol)
Email: osm25@bath.ac.uk
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Owen Winter
Advanced Quantitative MethodsAdvanced Quantitative Methods 1+3
University of Bristol, School of Geographical SciencesStart date: September 2021
Research topic: Modelling electoral geography and social attitudes at very local levels
My research focusses on methods of modelling voting patterns and social and political attitudes at granular levels, particularly in smaller geographical units than electoral districts. I hope to both expand the use of common techniques such as Multilevel Regression and Poststratification (MRP) and consider diverse alternative approaches such as the use of visual data with computer vision. These techniques can improve understanding of British electoral geography and the underlying social phenomenon which drive it, as well as considering electoral geography from the subjects’ perspectives – for example through the visual elements of street-scenes.
Research supervisors: Dr Levi Wolf, Paula Surridge
Email: bd21992@bristol.ac.uk
LinkedIn: https://www.linkedin.com/in/owenbwinter/
Twitter: https://twitter.com/owenwntr
Website/Blog: owenwntr.wordpress.com
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Ranadheer Malla
Advanced Quantitative MethodsAdvanced Quantitative Methods 1+3
University of ExeterSeptember 2021Start date: September 2021
Research topic: Computational approaches to detecting in-groups and out-groups in extremist communication
My project aims to extend the existing computational methods in understanding extremist language. I plan to use the state-of-the art transfer learning techniques in developing a Named Entity Recognition (NER) framework to predict the in-group and out-group concept of social psychology in the extremist communication. I plan to develop a model to detect actors across multiple extremist groups.
Research supervisors: Dr. Travis G Coan, Dr. Laura G. E. Smith
Email: rm729@exeter.ac.uk
LinkedIn: https://www.linkedin.com/in/ranadheer-malla/
Twitter: https://twitter.com/Iam_Randheer
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Rhiannon Moore
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
University of Bristol, School of Geographical Sciences / School of EducationStart date: September 2017
Research topic: Exploring the impact of teacher motivation and classroom practices on student learning in India
My research looks at the relationship between teachers’ levels of professional motivation and student learning attainment within secondary school classrooms in two states in India. The context for this research is the ‘learning crisis’ which existing research has highlighted within Indian schools in recent years, with evidence of a decline in learning levels despite increased enrolment, declining class size and greater teacher availability. I am interested in understanding more about the influence of teachers within this ‘learning crisis’.
Methodologically, my interests are in defining a measure of the latent trait of teacher motivation, and in modelling the pathways through which this influences how teachers teach, and how much students learn.
Research supervisors: Professor Sally Thomas, Dr George Leckie
Email: rhiannon.moore.2017@my.bristol.ac.uk
Twitter: https://twitter.com/Rhi_Moore
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Samir Sweida-Metwally
Advanced Quantitative MethodsESRC (+3)
University of Bristol, School of Sociology, Politics and International StudiesStart date: March 2019
Research topic: Beyond labour market status: Investigating the Muslim penalty in the British labour market.
Research supervisors: Dr Saffron Karlsen, Dr Siobhan McAndrew
Professional memberships/Positions held:
Centre for the Study of Ethnicity and Citizenship, Migration Mobilities Bristol, American Academy of Religion (AAR), Society for the Scientific Study of Religion (SSSR), Society for Longitudinal and Life Course Studies, Centre for Multilevel Modelling, Bristol Poverty Institute, TOR reviewer (2020-2021)
Email: samir.sweida-metwally@bristol.ac.uk
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Yunqi Zhou
Advanced Quantitative MethodsPhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
University of Bristol, School of Geographical SciencesStart date: September 2018
Research topic: Health promotion, health behaviour and prevalence of disease: a spatio-temporal analysis based on social media data
Research supervisors: Prof Rich Harris, TBD
Email: ql18400@bristol.ac.uk