Advanced Quantitative Methods

Alex Kwong

PhD Researcher in Advanced Quantitative Methods (ESRC +3)
University of Bristol, School of Geographical Sciences/Centre for Multilevel Modelling

Start date: September 2016

Research topic: Genetic and environmental contributions to psychiatric disorders

Both genes and the environment contribute to psychiatric disorders, however the extent to which they both contribute and interact to cause illness is still poorly understood. Modelling longitudinal data is one way to explore this relationship. My research uses data from the Avon Longitudinal Study of Parents and Children (ALSPAC) and statistical techniques such as multilevel modelling (MLM) to address this topic.

Research supervisors: Dr David Manley, Dr Nic Timpson, Dr George Leckie, Dr Evie Stergiakouli

Email: alex.kwong@bristol.ac.uk

Twitter: https://twitter.com/asfkwong

Website/Blog: http://www.bristol.ac.uk/geography/people/alex-s-kwong/index.html

Beatriz Gallo Cordoba

PhD Researcher in Advanced Quantitative Methods (ESRC +3)
University of Bristol, Graduate School of Education

Start date: September 2015

Research topic: Ethnic Segregation and Academic Attainment in Colombia

My research concerns the link between ethnicity and pupils’ attainment. In particular, the research employs multilevel modelling to understand the link between ethnic segregation and ethnic attainment gaps at the end of compulsory education in Colombia.

Research supervisors: Dr George Leckie, Dr William J Browne

Email: beatriz.gallocordoba@bristol.ac.uk

LinkedIn: https://uk.linkedin.com/in/beatriz-gallo-córdoba-334b4236

Bethany Taylor

PhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
University of Bath, Faculty of Humanities and Social Sciences, Department of Social and Policy Sciences

Start 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

Chengxi Hu

PhD Researcher in Advanced Quantitative Methods (ESRC +3)
University of Bristol, School of Geographical Sciences

Start 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

Elizabeth Bermeo

PhD Researcher in Advanced Quantitative Methods (ESRC +3)
University of Bristol, School of Geographical Sciences

Start 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

Emily Eyles

PhD Researcher in Advanced Quantitative Methods
University of Bristol, School of Geographical Sciences

Start date: September 2015

Research topic: Perceived, self-rated, and objective measures of health by employment status: A comparison of four neighbourhoods in south-west England

Research supervisors: Professor Clive Sabel, Dr David Manley

Email: ee15592@bristol.ac.uk

Kalyan Kumar

PhD 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 Education

Start 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.

Research supervisors: Dr Andres Sandoval-Hernandez, Dr Liz Washbrook

Email: kkk44@bath.ac.uk

Kiran Arabaghatta Basavaraj

PhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
University of Exeter, Q-Step Centre, College of Social Sciences and International Studies

Start date: September 2017

Research topic: Data Democracy and Policy-Making in the Digital World

My research focuses on inter-linkages between digital technologies and democracy, and investigates the dynamics of social-media, digital listening, governance and policy-making, with a case of industrial strategy of UK. Current literature indicates increase in information flows has increased transparency, but when it comes to policy making, the betterment of access to information hasn’t resulted in a conversation with the policy makers and the stakeholders. Technologies by itself would not do the trick, but requires set of actors to retrieve the available distributed information (big data) and use it in decision making.

Research supervisors: Professor Susan Banducci

Professional memberships/Positions held: Member, Political Studies Association (PSA)

Email: ka385@exeter.ac.uk

LinkedIn: https://www.linkedin.com/in/kiran-a-basavaraj-b110b214a/

Twitter: https://twitter.com/kiranabasavaraj

Laura Scheinert

PhD Researcher in Advanced Quantitative Methods (ESRC +3)
University of Exeter, College of Life and Environmental Sciences

Start date: September 2018

Research topic: Training judges in refugee status determination

My PhD investigates the training of judges who work in refugee status determination (RSD). The project will implement a comparative mixed methods approach. The purpose is to arrive at a well-rounded picture of RSD training availability, contents, participants, and perceptions, in different jurisdictions (e.g., England, Germany). I will combine quantitative and qualitative methods, to both trace the concepts conveyed through training (text mining), 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/

Lenka Hasova

PhD Researcher in Advanced Quantitative Methods (ESRC +3)
University of Bristol, School of Geographical Sciences/Centre for Multilevel Modelling

Start 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

Lucy Prior

PhD Researcher in Advanced Quantitative Methods (ESRC +3)
University of Bristol, School of Geographical Sciences

Start date: September 2015

Research topic: Investigating relationships of neighbourhood deprivation, social capital and stress on health and wellbeing

My research concerns the mechanisms and temporality of the relationships between neighbourhood deprivation, social capital and stress with overall health and wellbeing. My research draws on life-course and biosocial theories and employs advanced quantitative techniques, particularly multilevel modelling and mediation analysis to expose complex health and place relationships. I am using data from the British Household Panel Survey and the Understanding Society study to conduct the research.

Research supervisors: Dr David Manley, Professor Kelvyn Jones

Email: lp0841@bristol.ac.uk

Mirjam Odile Nanko

PhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
University of Exeter, Q-Step Centre, College of Social Sciences and International Studies

Start 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

Rhiannon Moore

PhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
University of Bristol, School of Geographical Sciences / School of Education

Start 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

Satpal Singh Sandhu

PhD Researcher in Advanced Quantitative Methods (ESRC +3)
University of Bristol, Centre for Multilevel Modelling, Graduate School of Education

Start date: September 2016

Research topic: Analysis of longitudinal craniofacial growth data to examine growth trajectories and pattern, factors influencing their growth, and to develop growth prediction model

My research involves adaptation and development of Advanced Quantitative Methods for modelling complex longitudinal craniofacial growth data. The objective is to advance understanding of craniofacial growth process (primary focus would be face) from early childhood through to adulthood. My research is based on the data collected from various historic longitudinal growth studies conducted in the 20th Century and presently part of American Association of Foundation Legacy (AAOFL) collection database.

Research supervisors: Dr George Leckie, Professor Kate Tilling

Professional memberships/Positions held: Growth Modelling Group, School of Social and Community Medicine and Spatial Modelling Group, School of Geographical Sciences, University of Bristol

Email: satpal.sadhu@bristol.ac.uk

Tom Owton

PhD Researcher in Advanced Quantitative Methods (ESRC +3)
University of Bristol, School of Geographical Sciences

Start date: September 2016

Research topic: Social Vulnerability Mapping

I attempt to develop new methods of mapping natural hazard social vulnerability in developing countries. Where “social vulnerability” refers to the well-established phenomenon that people of certain social groups are more negatively affected by natural hazards. With regards to informal settlements official statistics such as census data are typically lacking and surveys are expensive and difficult to collect. As a result, my research attempts to use sources of data from in particular remote sensing to map social vulnerability, such as brightness at night and information derived from visible light satellite imagery.

Research supervisors: Dr Sean Fox, Dr Jeffrey Neal

Email: to12018@bristol.ac.uk

Yunqi Zhou

PhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
University of Bristol, School of Geographical Sciences

Start 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