Collaborative (CASE) Studentships- projects & applications

LISS DTP’s Collaborative (CASE) Studentship competitions promote partnerships between social scientists at King’s College London, Queen Mary University of London and Imperial College and end-user, non-academic organisations (public or private or third sector ‘partner institutions’).  A CASE studentship is a PhD studentship in which the student enhances their training by working closely with the non-academic partner in the development of their research project.  They are a great way to initiate longer-term partnerships and to ensure the ‘impact’ of doctoral research.  These studentships will cover tuition fees plus a stipend.  There will also be opportunities to apply for additional funding in aid of the student’s training development and research activity.  There are a mix of +3 (PhD only) and 1+3 (Master’s + PhD) opportunities, which represent some of the broad range of interdisciplinary social research themes being investigated by LISS DTP staff and students.

The CASE competition will run on a yearly basis for the duration of LISS DTP, with initial calls for proposals from academics within the LISS DTP partnership launching in September and closing in November.  Successful projects to be funded will then recruit students, if a named student is not already linked to a project, from December through to March.

Students applying for CASE studentships must meet the ESRC eligibility guidelines in terms of UK/EU residency status and academic qualifications, specifically core social science research methods training that must already have been undertaken (for +3 awards) or will be undertaken at Masters level (for 1+3 awards).

Successful projects have now been chosen for October 2018 start dates.  Please see below for more details about the projects and to see which ones are recruiting students. 

Application deadlines vary and will be listed in the project tab.

Please contact academic leads directly to find out more particular details about individual projects.  LISS DTP (liss-dtp@kcl.ac.uk) can answer any general questions regarding the application process, core methods training requirements etc.

To be accepted, all applications must include:

  • a completed ESRC LISS DTP Collaborative (CASE) application form
  • a copy of your CV
  • 2 academic references, or 1 academic and 1 professional reference (these should be sent directly to liss-dtp@kcl.ac.uk by your referees)
  • copies of transcripts for all relevant degrees

These materials should be sent BOTH to liss-dtp@kcl.ac.uk and the project academic lead by the deadline indicated in the project tab.

Exploring Social Factors in the Psychological Treatment of Mood & Anxiety Disorders (from the 2017 competition) has a start date of October 2018, with applications closing on 31 January 2018.

The Role of Mathematical Modelling for Knowledge Production in the HIV/AIDS Response (from the 2017 competition) has a start date of October 2018, with applications closing on 9 March 2016 at the latest.

2018 Projects

Academic Lead: Prof. Erkko Autio, Imperial College

Co-supervisor: Prof. John Polak, Imperial College

Partners: Cisco Systems, Greater London Authority, Royal London Borough of Greenwich

Studentship type: 1+3 (1 year MRes Imperial College Business School + 3 year PhD)

Application deadline: 31 January 2018

Please address any queries about this project to Prof Erkko Autio- erkko.autio@imperial.ac.uk

‘Smart city’ initiatives have increased dramatically over the past 10 years. Such initiatives seek to enhance the services provided by cities for their constituents (i.e., citizens, businesses, civic groups) through the application of digital technologies such as the ‘Internet of Things’ (IoT). However, some 60 percent of smart city initiatives get stuck at the proof-of-concept and demonstration stages, and nearly one in two actually completed projects fail to meet their objectives. A key reason for this low success rate is an insufficient understanding of how to design and deploy data-intensive business models to facilitate service ecosystems where multiple stakeholders come together to co-create a seamless service offering. To address this gap, this project adopts an engaged scholarship and inductive case approach to induct effective practices to design data-intensive business models to operate such ecosystems. The project harnesses a deep technical understanding of smart city and data technologies and combines this with social science methods and appropriate theoretical lenses (e.g., business model design, digital affordances, and the service-dominant logic) to identify and induct business model design practices with which data resources can be efficiently harnessed to support multi-stakeholder service ecosystems. The empirical context of the project consists of cases of smart-city service ecosystems.

Academic Lead:  Prof. Alastair Owens, Queen Mary University of London

Co-supervisor: Prof. Geraldene Wharton, Queen Mary University of London

Partners: Canal & River Trust (London Waterways) & The Geffrye Museum of the Home

Studentship type: 1+3 (Master’s + PhD) or +3 (PhD only).  See eligibility guidance above.  To apply for a +3 degree, you must have a relevant Master’s degree with the majority of core social science research methods training already taken.  Relevant Master’s degrees for 1+3 candidates are the QMUL MRes Geography or MRes Cities & Cultures.

Application deadline: 23 February 2018

The London Assembly estimates that at least 10,000 people now make their homes on London’s waterways, occupying 4000 vessels, and living at fixed points in the city (home moorers) or moving every two weeks to different locations (continuous cruisers). This phenomenon has been triggered by the escalating costs of ‘on land’ housing but also by Londoners seeking an alternative lifestyle. These waterside environments are also emerging as novel public spaces with regeneration promoting opportunities for recreation and new economic activities, especially those centred around food and the arts. Benefitting from a collaboration with the Canal & River Trust and The Geffrye Museum for the Home, this interdisciplinary project is the first detailed study of the communities living on London’s waterways. It seeks to understand how these communities form and operate and how they manage the challenges of canal boat living. The research will contribute to our theoretical understanding of home and place making and, specifically, it will generate new evidence to help the CRT and other stakeholders better understand the needs of those who make their homes on London’s canals and rivers and help inform the development of these waterway environments as sustainable and high-quality places for people and wildlife.

Academic Lead: Prof. Kavita Datta, Queen Mary University of London

Co-supervisor: Prof. Alastair Owens, Queen Mary University of London

Partner: The Runnymede Trust

Studentship type: 1+3 (Master’s + PhD) or +3 (PhD only).  See eligibility guidance above.  To apply for a +3 degree, you must have a relevant Master’s degree with the majority of core social science research methods training already taken. The designated Masters is the MRes Global Development Futures

Application deadline: 23 February 2018

Investigations of migrants’ inheritance practices and outcomes are limited in multi-disciplinary migration and inheritance studies. This omission is surprising given that more than a billion people are migrants, 244 million of whom are international migrants. Situated within conceptual and empirical lacunae, this project aims to interrogate the migration-development nexus. At its core is a concern to make visible the extent and patterns of transnational inheritance among migrant men and women, and examine how these are mediated by gender and class; interrogate the formal and informal mechanisms through which migrants’ inheritance rights are negotiated, maintained and translated and assess the extent to which inherited assets translate into economic security and productivity. Focusing on skilled and semi-skilled Indian migrants living in London, a mixed method research strategy will be deployed, entailing a questionnaire survey with migrants; qualitative interviews with migrant men and women as well as wealth and asset managers, solicitors and other financial advisers who mediate migrant inheritance, as well as an analysis of migrants’ wills. Collaborative outputs beyond the thesis will include Briefing Reports and a workshop bringing together academics, policy makers and industry practitioners.

Academic Lead: Dr Jonathan Reades, King’s College London

Co-supervisor: Dr Nishanth Sastry, King’s College London

Partner: The British Library

Studentship type: 1+3 (1 year Masters + 3 year PhD) or +3 (PhD only), subject to candidate’s existing academic/professional background

Application deadline: 9 March 2018

It is exactly 100 years since the enrolment of the UK’s first doctoral student, making it an opportune moment to take stock of the economic impact of the PhD. Working in collaboration with the British Library, you will have full access to two unique data sets covering more than 450,000 PhDs in order to map the flow of ideas within and between institutions using cutting-edge text-mining and network analysis techniques. Selecting between one and three disciplines/topics for close study (e.g. AI, a non-STEM domain such as cultural geography), you will examine how groups and departments are impacted by the departure or arrival of researchers and their research interests. This could form a platform for subsequent post-doctoral work on other domains and policy recommendations leading towards a wider view of ‘impact’ from PhD research in Britain.

The project offers you the opportunity to develop and apply a range of machine learning techniques in a comparative context: you will need to evaluate techniques for accuracy and efficiency, and even consider consensus or meta-learning approaches (i.e., employing ML to select the most appropriate technique for individual problems). These skills are highly sought after not only in an academic context, but also by industry.  We are looking for a practically-minded but creative student interested in both social science and in the application of data science techniques: you might be a STEM student looking to apply your analytical skills to challenging, real-world policy questions, or a student from a quantitative area of Economics or Geography looking to acquire valuable data science skills, but either way we have the resources and knowledge to support you for both 1+3 and +3 only studies.

For more information on the project, please see here.

Academic Lead: Dr Laure de Preux, Imperial College Business School

Co-supervisor: Prof. Franco Sassi, Imperial College Business School

Partner: Public Health England

Studentship type: 1+3 (1 year MRes + 3 year PhD).  More information on the PhD programme can be found here.

Application deadline: 31 January 2018

When policy makers assess alternative interventions, they often rely on a cost-benefit analysis. They compare the difference between the benefits and costs. First the impacts of the intervention are estimated, and then benefits and costs are expressed in monetary terms in order to be comparable. This conversion is particularly complex in the case of health impacts when the multitude of health outcomes needs to be translated into a monetary equivalent. If no estimate exists, the health impact will be zero implying no impact, therefore systematically underestimating the health component.

The aim of this project is to determine disease cost burden for the healthcare sector for prevalent chronic and non-communicable conditions in the UK, relying on healthcare utilisation data, which is not available in the literature. We will use a unique dataset of GP consultations, referral, prescriptions, and their individually linked hospital data to first estimate healthcare utilisation associated with the health conditions of interest, and then develop a methodology to model the national monetary costs associated with specific conditions. The research output will contribute significantly to the literature by providing costs derived from actual healthcare utilisation, and support the adoption of polices promoting health.

Academic Lead: Prof. Adrian Smith, Queen Mary University of London

Co-supervisor: Dr Gale Raj-Reichert, Queen Mary University of London

Partner: Electronics Watch

Studentship type: 1+3 (1 year Masters + 3 year PhD) or +3 (PhD only).  To apply for a +3 format, you must have a relevant Masters degree with the majority of core social science research methods training already taken.  The recommended Masters for the 1+3 format would be the MRes Global Development Futures.

Application deadline: 23 February 2018

The globalisation of supply chains has created a governance deficit concerning working conditions in the world economy. Private-sector initiatives (corporate social responsibility and codes of conduct) face limits to improving labour standards. Yet, little attention has been paid to public sector attempts to regulate working conditions in global supply chains. An EU Directive on Public Procurement, however, allows state organisations to include clauses on labour standards in procurement contracts. In this context, this project will examine socially responsible public procurement of electronics hardware – an industry mired by serious labour violations – and focuses on the state as a regulator and buyer. The research will be carried out with Electronics Watch, a non-profit, non-governmental initiative which organises public sector buyers, provides tools to create effective market demand for decent working conditions (e.g. contract clauses), and monitors working conditions to ensure compliance in factories. The project will examine: how the EU Directive is being implemented by public-sector buyers in the United Kingdom; how the governance framework impacts lead firm and supplier relationships in the sector; and the experience of public procurement regulation as an emergent new relationship between the state, public sector governance and labour conditions in globalised production networks.

In terms of research methods, the project will involve key informant interviews with one or more public procurement agencies in the United Kingdom; a mapping of the legal framework for labour standards in public procurement, and its implementation in the contracts will be conducted; key informant interviews with one of the top three electronic brand firms at its headquarter location and with the brand firm’s major suppliers in Malaysia; interviews will also be conducted with local monitoring organisations, trade unions, and workers in Malaysia; secondary data from audit and monitoring reports will be analysed to provide contextual data.

Academic Lead: Dr Janelle Jones, Queen Mary University of London

Co-supervisor:

Partner: Entelechy Arts

Studentship type: +3 (PhD only).  You should hold a relevant Masters degree, with the majority of core social science research methods training already covered on it, to apply for this studentship.  See eligibility guidelines above.

Application deadline: 16 February 2018

Ageing is a growing concern in many countries, with projections suggesting that older adults (aged 65+) will comprise 25% of the population by 2035. Although people are living longer, they are not necessarily living well. Many older adults are at risk of social isolation, which is associated with poor health and well-being. Given these projections and consequences, solutions that help older adults to stay connected are paramount. Drawing from the social identity approach to health and well-being and knowledge about arts practice this project investigates how and why participatory arts interventions (e.g., music, drawing, theatre, writing) help older adults to live and age well. Through a review of the literature, analyses of secondary datasets, and cross-sectional and longitudinal examinations of Entelechy Art’s Meet Me at The Albany (MMA) program, this project will test whether involvement in the arts in general, and MMA’s singing, fine arts, movement, and creative writing programs in particular, reduce isolation by improving social connectedness, and through this increase access to the support and engagement needed to facilitate health and well-being over time. Findings will provide insights into the processes through which taking part helps older adults to take care and age well within their communities.

See a full project description here.

Academic Lead: Prof. Peter McBurney, King’s College London

Co-supervisor: Dr Tim Stevens, King’s College London

Partner: Norton Rose Fulbright LLP

Studentship type: +3 (PhD only).  You should hold a relevant Masters degree, with the majority of core social science research methods training already covered on it, to apply for this studentship.  See eligibility guidelines above.

Application deadline: 23 February 2018

Cybersecurity is a key concern for highly-connected economies and societies. The scope and scale of threats to information technological infrastructures is growing and is challenging governments, business and civil society to develop effective responses and modes of preventive action. In the commercial sector, risk management and resilience are emerging as primary resources for firms to recognise, prepare and respond to a multi-dimensional cyber risk landscape.

This project draws upon a unique set of cyber incident data collated by a leading legal firm (Norton Rose Fulbright) to shed light on the types of cyber incidents perpetrated against a diverse client base and on the range of legal, regulatory, business and law enforcement responses available in this dynamic environment.

It will allow better characterisation of the nature of cyber risk in the commercial sector, to discern and evaluate the efficacy and practicality of responses to cyber risk, and to clarify the relations between actor types in the dynamic field of cybersecurity policy and practice. The project will constitute an empirically rich and theoretically sophisticated contribution to an under-explored aspect of cybersecurity, with particular attention to the growing importance of risk and resilience in today’s economy and society.

The successful applicant will benefit greatly from immersion in the work of Norton Rose Fulbright and its cyber risk and resilience advisory activities. The partner will provide office space and equipment to the researcher at its headquarters in central London, enabling high-level access to the firm’s unique cyber incident database. It will provide skills training and mentorship and facilitate access to research participants in the UK and elsewhere. It will also foster student interaction with end-users and other parties, including through industry events, specialist conferences and workshops, and via the authorship of working papers, research briefs and other materials.

Academic Lead: Prof. Nicola Fear

Co-supervisor: Dr Rachael Gribble

Partners: Army Families Federation, Naval Families Federation

Studentship type: +3 (PhD only).  You should hold a relevant Masters degree, with the majority of core social science research methods training already covered on it, to apply for this studentship.  See eligibility guidelines above.

Application deadline: 9 March 2018

Postnatal depression (PND) affects approximately 10-15% of women, with risk factors including parenting stress, anxiety and depression during pregnancy, stressful life events during pregnancy and low levels of social support. The unique nature of military life, such as frequent relocation and deployment, may lead to greater risk among the spouses/partners of Service personnel. However, there is currently a lack of UK research on perinatal health among military spouses/partners and how military life may influence their well-being during pregnancy and after childbirth.

This novel PhD will use a mixed-methods approach to address this gap in the knowledge by completing the following aims:

  1. estimate the prevalence of perinatal mental health among this population in comparison with women in the general population
  2. identify socio-demographic and military factors associated with this outcome
  3. explore the influence of having a partner in the UK military on the mental health and well-being of military spouses/partners during pregnancy and after childbirth
  4. explore service provider perceptions of military spouses/partners experiences during the perinatal period

Academic Lead: Dr Katharine Rimes, King’s College London

Co-supervisor: Prof. Stephani Hatch, King’s College London

Partner: Talking Therapies Southwark

Studentship type: +3 (PhD only)

This project has already recruited a student.

Sexual minority adults (e.g. those who are lesbian, gay or bisexual) have higher rates of depression and anxiety than heterosexuals. Minority stress theory proposes that this is because of sexual minorities experiencing increased stigma and discrimination. Furthermore, sexual minority adults can fear or experience stigma from health professionals, which could affect treatment access or outcomes. Those who also have minority ethnicity may be even more likely to anticipate or experience stigma. This project will investigate treatment access and outcomes in primary care psychological therapies services by black and minority ethnic (BME) sexual minority adults with depression or anxiety. Participants will be interviewed about their treatment experiences and these interviews will be analysed for themes. Existing NHS data from psychological therapies services will be used to investigate treatment access and outcomes. The results of these studies will inform the development of an outreach programme aimed at improving access to primary care psychological therapies services for BME sexual minority adults. This project will be a collaboration with Talking Therapies Southwark, an Improving Access to Psychological Therapies (IAPT) service at South London and Maudsley NHS Trust. The NHS partners will provide access to a large clinical dataset and training in community outreach methods.

Academic Lead: Dr Rachel Loopstra, King’s College London

Co-supervisor: Prof. Mauricio Avendano, King’s College London

Partner: The Trussell Trust

Studentship type: 1+3 (1 year Masters + 3 year PhD)

This project has already recruited a student.

 

Academic Lead: Prof. Francesca Happe, King’s College London

Co-supervisor: Dr Rebecca Charlton, Goldsmiths, University of London

Partners: Autistica, Meet Me at the Albany

Studentship type: +3 (PhD only)

This project has already recruited a student.

2017 Projects

Academic Lead: Dr Lesong Conteh, Imperial College

Co-supervisor: Prof Timothy Hallett, Imperial College

Partner: The Joint United Nations Department for HIV/AIDS (UNAIDS)

Studentship type: +3 (3 year PhD).  You should hold a relevant Masters degree, with the majority of core social science research methods training already covered on it, to apply for this studentship.  See eligibility guidelines above.

The innovation and application of disease-based mathematical modelling for knowledge production and evidence synthesis to inform or guide the response to global health issues has been increasing steadily over past decades. Global health initiatives that provide funding or technical assistance for the HIV response appear to have adopted these methods as they enable epidemic dynamics to be considered.  Consequently difficult questions about how to best respond to the epidemic, in regard to allocating interventions and finances can be explored ahead of national implementation. The application of such approaches clearly holds potential for the relatively rapid provision of answers to pressing policy issues and now many organisations influential in the HIV response rely heavily on modelling results to dictate program goals, program planning, and resource allocation.

As modelling for program planning purposes appears to be increasing at the national-level, the practices of model producers and consumers should be evaluated to identify areas for improving the dialogue and knowledge exchange between these groups; generating an audience of educated model consumers serves to benefit both parties, and possibly also the population if the results are adopted to inform program and budget decisions.  In this project, we intend to use concepts and mixed-methods from social science to trace the epistemic community of mathematical modellers to firstly establish, and secondly to evaluate, the influence they have had in understanding and defining health needs at global and national levels. We will review how the development of such strategies that are capable of addressing complex and evolving policy challenges have arisen and become an integral component of donor financing and program planning for HIV (also by comparing this influence with the response to other issues of global health importance – malaria, TB, hepatitis). The exchange of knowledge between model producers at the global level and model consumers in selected countries in sub-Saharan Africa will be studied.

Academic Lead: Dr Thalia Eley, King’s College London

Co-supervisor: Dr Andrea Danese, King’s College London

Partner: MindWave

Studentship type: 1+3 (Masters + PhD)

Studentship start date: October 2018

Application deadline: 31 January 2018

Anxiety and depression are highly debilitating disorders, increasingly seen in our society. The Improving Access to Psychological Therapy (IAPT) initiative provides evidence based treatments for these disorders in a primary care setting.  Many individuals show lower symptom levels following treatment, but ~50% do not show a significant improvement, and outcomes in terms of social functioning are poorly understood. The majority of predictors of psychological treatment response have only been explored within clinical trials. For example, a history of childhood trauma is related to outcome in clinical trials, but we have recently shown it relates to relapse following IAPT treatment. It is possible this risk factor is associated with outcome due to biases in thinking about social situations. Finally, we have shown that genetic factors provide a useful additional level of information when exploring predictors of outcome of psychological therapy.
Our study examines predictors of outcome in IAPT. Specifically, we will explore whether (i) social risks (e.g. history of child trauma) predict outcome; (ii) social functioning is a useful measure of outcome; (iii) biases in thinking account for the association between history of trauma and outcome; and (iv) genetic factors can be used in addition to clinical measures to predict outcome.
The project will involve a large-scale study using a web-based recruitment platform and online data collection. Mindwave are developing the recruitment platform, in collaboration with the PI (Prof Eley), and Dr Gerome Breen, who leads the NIHR funded BioResource at IoPPN.  Mindwave will provide considerable training to the student in the use of online and web-based technology.

Academic Lead: Prof Armand Leroi, Imperial College

Co-supervisors: Dr Tobias Blanke, King’s College London, George Wright, Head of Internet Research & Future Services (BBC)

Partner: BBC Research & Development

Studentship type: 1+3 (Master’s + PhD) or +3 (PhD only).  See eligibility guidance above.  To apply for a +3 degree, you must have a relevant Master’s degree.  Relevant Master’s degrees for 1+3 candidates will be discussed with applicants; an example programme is the MA Digital Culture & Society at KCL.

Start date: January 2018

Application deadline: 25 November 2017

This project will investigate the forces that shape pop music, with the goal of understanding how producers – the people who make pop music; gatekeepers – the people who sell and distribute it; and consumers — the people who buy, or at least listen to it, interact to shape its evolution.  The approach will be highly quantitative, proposing to measure the musical qualities of three corpora of music, each of which consists of tens of thousands of songs, to estimate of what kind of music people are buying, what the nation’s primary gatekeeper – Radio 1 – is promoting, and what Britain’s musicians are making.  By examining how these three corpora co-evolve, it will be possible to test hypotheses about the causal relationships between them. This project is a collaboration between three groups. From Kings Digital Humanities (Blanke) there is expertise in the sociology of media; from Imperial Data Science (Leroi) there is expertise in analytic methods; from the BBC (Wright) there is expertise in music, its measurement, and a vast amount of data.
The BBC will add immensely to the value of the student’s training in several ways.  They are offering generous access to staff, in-house resources, vast amounts of data.  More importantly, the project offers the student a chance to work in the central R&D laboratories of the national broadcaster and interact with producers from the nation’s pre-eminent music radio station, Radio 1.  It is expected that the student will spend a great deal of time at R&D’s Central labs, which is a semi-academic environment.

Academic Lead: Prof John Polak, Imperial College

Co-supervisor: Dr Jacek Pawlak, Imperial College

Partners: Cisco Systems & Transport for Greater Manchester

Studentship type: +3 (3 years PhD funding).  You should hold a relevant Master’s degree to apply for this studentship.  Please see text above for eligibility guidance.

This studentship has now recruited.

The rapid development of new mobile devices and omnipresent connectivity has led to the increasing decoupling of work (and other activities) from specific locations. Cultures of work have emerged, especially strong among knowledge workers, that exploit non-traditional settings, including public spaces and transport modes, with the aim of improving productivity and well-being by the better alignment of tasks to productive times and spaces. While social science has amassed a significant body of descriptive evidence relating to these practices and their productivity and well-being implications, this knowledge remains largely detached from the quantitative and predictive approaches used in the appraisal and evaluation of digital and physical infrastructure investments. The aim of this CASE studentship, which will be undertaken in collaboration with Cisco Systems and Transport for Greater Manchester, is to bridge this gap and develop new ways of embedding qualitative and quantitative understandings of the impacts of digitisation and connectivity on productivity and well-being into the quantitative frameworks used for infrastructure appraisal and evaluation. The research will involve collaboration with Cisco’s innovation team (Cisco CREATE) and Transport for Greater Manchester on a set of case studies including the UK’s largest Internet of Things City Demonstrator project, CityVerve, in Manchester.

Academic Lead: Prof Devyani Sharma, Queen Mary University of London

Co-supervisors: Dr. Esther de Leeuw, Jonnie Robinson (British Library)

Partner: The British Library

Studentship type: 1+3 (1 year MA Linguistics + 3 year PhD).  Please see eligibility guidance above.

This studentship has now recruited.

This studentship involves collaboration between the Department of Linguistics at Queen Mary, University of London (top-ranked in REF2014 and RAE2008) and the British Library. The project will compile a diachronic corpus of sound recordings from the historic holdings of the British Library Sound Archive, an unparalleled collection of natural British speech spanning over a century. The corpus design will aim for a balanced selection across region, register, and demographic factors while maximising time depth. Using this unique corpus, the project will investigate a fundamental theoretical challenge in the study of language change: What is the relative importance of linguistic factors, frequency, and social factors in changes observed in British English over time? This question has been difficult to address fully due to the lack of audio archives with sufficient time depth. Recent historical corpora have begun to remedy this, with some unexpected findings regarding the role of frequency in phonetic change (Hay et al. 2015), intensifying the debate over the relative role of frequency, among other factors, in large-scale dialect change (Labov 2010; Kiparsky 2016). A substantial diachronic corpus will also permit deeper investigation of related themes such as vernacular stability, social factors in change (e.g. age, demographics, gender, class), and co-variation in change. As this is a 1+3 studentship, the student and the supervisory team will refine the scope of the project during the first year. Alongside a range of research expertise, the successful candidate will acquire expertise in archival and library sciences and experience working in a major public institution. The project will also incorporate public engagement activities including reports to schools, to the British Library, and to the general public.

Academic Lead: Prof Jane Sandall, King’s College London

Supervisory Team:  Dr Euan Sadler, Professor Nick Sevdalis, Dr Claire Steves

Partners: Health Innovation Network South London, Age UK Lambeth, Age UK Lewisham & Southwark

Studentship type: +3 (3 years PhD funding).  You should hold a relevant Master’s degree to apply for this studentship.  Please see text above for eligibility guidance.

This studentship has now recruited.

Frail older people commonly experience complex health and social care needs and difficulties receiving care in a coordinated manner. Integrated care pathways (ICPs) for frail older people have been proposed, which integrate health and social care delivered by multidisciplinary teams along a coordinated pathway. However, there has been limited social science research focusing on a critical understanding of the role, value and implications of ICPs from different stakeholder perspectives, and the social, organisational, politico-economic and historical contexts shaping their emergence, development and implementation in practice. This PhD study uses an ethnographic approach and draws on social science theory to explore these issues in the context of ICPs for frail older people in Lambeth and Southwark, South London. Methods will include analysis of policy documents, observations of care practices with a sample of frail older people and their family members as they navigate the health and care system, analysis of care records, interviews with participants and professionals involved in their care, pathway mapping, and stakeholder engagement meetings using co-design methodology. Findings will inform the development of clearer pathways and a framework to facilitate the implementation of ICPs to improve quality of care and outcomes for frail older people. Dissemination and knowledge exchange activities will be through peer reviewed publications, conferences, service user and patient organisations, care professional networks, local provider groups and social media.

You can view a longer project description here- Sandall_CASE_ProjectDescrip.

Academic Lead: Prof Alison Blunt, Queen Mary University of London

Co-supervisor: Prof Alastair Owens, Queen Mary University of London

Partner: Eastside Community Heritage

Studentship type: 1+3 (MRes Geography + 3-year PhD)

This studentship has now recruited.

Despite the growing interest in the connections between home, migration and the city, little work has engaged with experiences of home and migration in relation to the suburbs and, in particular, the interplay between historical internal migration from the inner-city and contemporary international migration. This intergenerational research project will examine the layered histories and experiences of home, migration and belonging through an in-depth study of the Harold Hill estate in Havering. In collaboration between QMUL and Eastside Community Heritage – and also affiliated to The Geffrye Museum of the Home via the Centre for Studies of Home – the research will explore (i) the histories of migration from inner-city London to Harold Hill from the late 1950s; (ii) new migration patterns to Harold Hill over the last 20 years; and (iii) the impact of these overlapping migratory patterns on home and belonging on the housing estate and within the wider suburban landscape. The research will build on pilot research at Harold Hill conducted by ECH.

Collaborative outputs beyond the thesis will include a collection of oral history and visual material for deposit at ECH; the design of intergenerational school sessions focused on home, migration and belonging; and the development of learning resources for use in school sessions and work with adults of different generations and heritages.

Academic Lead: Dr Miriam Goldby, Insurance Law Institute at the Centre for Commercial Law Studies (CCLS) at QMUL

Co-supervisor: Prof Chris Reed, CCLS, QMUL

Partner: Lloyd’s of London

Studentship type: 1+3 or +3.  Only applicants with adequate core research methods training at Masters level and a postgraduate degree in Law (such as a LLM) will be allowed to apply for a PhD-only award.  Candidates without an appropriate postgraduate degree and training should apply for a 1+3 award and simultaneously apply for the MRes International Economic Law at QMUL.  Further advice about core methods training and applying for degrees at QM can be obtained from Gareth Skehan- g.skehan@qmul.ac.uk

This studentship has recruited.

Distributed ledger technologies (DLT), of which the block-chain is one protocol, have caused a stir in financial circles in view of the wide range of opportunities they offer for business development. This great potential extends to the insurance sector, an intermediary-led and direct sale market where business-to-customer relations may be greatly facilitated and enhanced by the use of these new technologies. At the same time, the use of these technologies may carry with it implications in both the sphere of private law (contractual relations) as well as that of public law and policy (regulation).

The successful candidate will be required to conduct doctoral research with 3 aims:

  • To identify and describe potential uses of DLT and smart contracts in insurance with a focus on the London Insurance Market
  • To assess the challenges that would be faced in implementing the use of these new technologies, integrating them into existing processes and potentially using them to design new and more efficient processes;
  • To examine the legal and regulatory implications of using these technologies. The project will be undertaken with the support of Lloyd’s of London, the insurance market, QMUL’s CASE partner for this project, giving the researcher access to a wealth of market knowledge and practical experience of the insurance business.

Applicants must submit, by the deadline date:

  • An application to the MRes programme in International Economic Law (unless advised otherwise by Gareth Skehan).  Required supporting documents as part of this, which are:
  • A research proposal (of 2-3,000 words maximum). This would outline how you would answer the research question via 3 years of doctoral research, and would include information on how you would research this question – your research design and methodology. The 1000 word count does not include the bibliography or title.
  • A Statement of Purpose
  • Transcripts from any undergraduate or postgraduate degrees in Law taken
  • 2 references – at least one of which must be from a staff member who taught you on more recent course of study

In addition, applicants must submit (either via e-mail or uploaded to their MRes application) a completed ESRC LISS DTP Collaborative (CASE) application form (available to download above on this webpage).

Please click here for a link to more information and online registration for the QMUL MRes programme.