Research projects

An overview of all projects involving our staff from the Department of Methodology

research-projects_Milena Tsvetkova

Field experiments of social influence and contagion with AI-assisted bots | Milena Tsvetkova2024-2025

How does AI influence human behaviour? This project aims to study social influence and contagion from autonomous artificial agents onto human users in realistic online settings. We will conduct field experiments in three different online communities to causally test the hypothesis that AI is less influential than humans if it lacks a convincing rationale but more effective if it conveys expertise and due diligence. The interventions will estimate and compare the effects of praising comments on Wikipedia, monetary donations on DonorsChoose, and symbolic awards on Reddit on users’ behaviour and success when the contributors are A) humans or B) bots who use either a) random, b) emotion-driven, or c) success-optimising strategies.

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research-project_Eleanor Knott

Moldova’s Bittersweet Moment: A Bottom-Up Perspective | Ellie Knott | 2024-2025

Since Russia’s full-scale invasion of Ukraine in February 2022, Moldova has existed on a new frontier with war to its east and the EU to its west. As well as being a new frontier of a new war, Moldova has its own history of tense relations with Russia, of Russia exerting a strong influence on Moldova, and of being exposed to hybrid threats from Russia. All of these tensions and uncertainties have been exacerbated since Russia’s full-scale invasion. Today, the risks are high, but so are potential opportunities for Moldova and its citizens.

On the one hand, this episode is one of the riskiest periods in Moldova’s history of independence. On the other hand, this is one of the most potentially rewarding and fruitful moments in Moldova’s history of independence. No longer is Moldova simply (or only) an impoverished periphery or problem for the EU. Instead, Moldova is increasing its strategic value, which the EU and EU member-states view as of high importance.

This project will zoom into how this moment is viewed from the perspective of ordinary citizens across Moldova's different ethnic and linguistic groups. Ordinary citizens are typically overlooked when scholars research these kinds of topics. But ordinary citizens' perspectives are critical for understanding the wider ramifications of Russia’s full-scale invasion and its ripple effects. Using focus groups, this project asks: how do Moldovan citizens and communities understand this moment of high risk and high reward? What concerns them? What inspires them? And how do these understandings vary (or not) across Moldova’s ethnic and linguistic communities and regions? This project has been awarded funding by the Folke Bernadotte Academy – Swedish agency for peace, security and development.

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"Reputational Poverty Traps” and the Reproduction of Social Inequality in South Asia and the World | Eleanor Power | 2023-2027

Funded by a Leverhulme Research Leadership Award, this project assembles a diverse team including ethnographers, an experimentalist, and (eventually) a network modeller to undertake a cross-cultural study of the micro-dynamics of social inequality. We will examine how people’s identities and social position influence how they are perceived by others, and so how they consequently choose to act in the world. Working in three communities in South Asia and yet more across the globe, we will use a novel combination of ethnographic, experimental, and network methods to see if, and if so how, these dynamics result in a “reputational poverty trap” that reinforces social and economic inequality.

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Survey Futures: Survey Data Collection Methods Collaboration | Patrick Sturgis | 2023-2026

The survey community is facing severe challenges in implementing surveys using pre-pandemic approaches. There are knowledge gaps regarding the advantages and disadvantages of different data collection techniques and innovative approaches such as push-to-web, knock-to-nudge and video interviewing, and particularly in the mixed-mode context. And there is limited capacity both of skilled interviewers and of research professionals. Recent developments are leading to changes in commissioner requirements for face-to-face data collection as well as having implications for fieldwork costs and the role of interviewers. In several areas of survey methodology, the need for development of fit-for-purpose methods and the need to identify and communicate best practice is urgent.

Survey Futures is a response to these challenges and aims to deliver a step change in approaches to collecting population survey data in the UK. It will do this primarily through a rigorous programme of research focused on ensuring large-scale social surveys in the UK can innovate and adapt in a changing environment and continue to deliver high quality and inclusive data for research and policy. Outputs will have a strong practical orientation, consisting of good practice guidance for survey design, survey implementation, survey commissioners and survey data users, all backed up by rigorous and well-documented research and with a range of associated activities to ensure that the lessons are disseminated to all relevant stakeholders and, where appropriate, embedded in institutional practice in a timely manner.

Survey Futures seeks to enable a whole community dialogue and collaborative response to these wider strategic challenges and issues, as well as incorporating a strong training and capacity building component. Survey Futures is funded by the UKRI-ESRC for a three-year period beginning in July 2023.

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Children of the 1990s - Extending Understanding of Social Mobility in England and Wales | Patrick Sturgis | 2023-2025

Is modern Britain an open and fair society? Have the life-chances of children born in the late 1990s improved or deteriorated compared to their predecessors? How do characteristics of local areas such as industrial composition, school quality, and social capital relate to the life-chances of residents? It is questions such as these that we are concerned with in this research project.

We will use data from the recently completed 2021 census, linked to previous censuses back to 1971, in order to further our understanding of ‘social mobility' - the study of how people’s jobs and standards of living are shaped by the social and economic context of their upbringing. These are timely questions. Living standards in the United Kingdom have been declining, with stagnating productivity, declining real wages, and big increases in the cost of living. The question of how more recent generations are faring compared to their parents is therefore a very pertinent one. However, despite the frequency with which the topic is referred to by politicians and commentators, very little is actually known about the social mobility experiences of recent cohorts. This is primarily because the high-quality data that is required for the analysis of intergenerational social mobility has simply not been available until now. Filling this gap in the national evidence-base will be the key contribution of this research.

Our findings will provide important new evidence on intergenerational social mobility in England and Wales using a unique and newly available data source – the Office for National Statistics Longitudinal Study (ONS-LS) which links individuals across censuses between 1971 and 2021. The ONS-LS has several key benefits for studying social mobility, in particular its very large sample size, with over half a million people included at each successive decade. Its size and longevity will enable us to follow the lives of study members across successive generations from childhood to adulthood, comparing the occupations they end up in at different points in their lives to those of their parents’ decades earlier. We will use the ONS-LS to calculate social mobility rates, for the first time, for children born in the 1990s and compare them to earlier cohorts, ranging from the late 1950s to the late 1980s. In addition to tracking individuals over time at the national level, we will also examine how social mobility chances have varied across regions and local authorities and how geographic differences in mobility chances are related to the characteristics of the areas people live in. We will work hard to ensure that our findings are used to inform local and national policies to improve life-chances and reduce inequalities.

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Covid

Studying social security in a (post) pandemic context | Kate Summers | 2022-2026

This project will develop qualitative methodological tools to investigate some of the most pressing issues relating to working-age social security benefits that have been exacerbated (or less often created) by the coronavirus pandemic.

The research programme is funded by the British Academy and motivated by two major, interrelated, challenges:

a) The policy challenges for the working-age social security system that have been revealed or exacerbated by the pandemic, with a particular focus on key groups, including: disabled claimants or those with a long-term health condition; and claimants balancing paid and unpaid work.

​b) The methodological challenges for researchers brought about by physical and social distancing, and the wide-ranging socioeconomic aftereffects of the pandemic, with a particular focus on: the challenges of physical remoteness; lack of inclusive practices in existing methods; ongoing and increased time scarcity of some research participants; and the lack of participatory practices in existing methods.

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trust-sign

IANUS: Inspiring and anchoring trust in science, research and innovation | George Gaskell | 2022-2025

The objective of the IANUS project is to strengthen warranted trust in science, research and innovation at a systemic level. This ambition is crucial against a backdrop in which knowledge societies are facing multiple global challenges, aggravated by a climate of distrust and an omnipresent erosion of trust in representative bodies and governmental organisations, in media and public information, but also in science, scientific expertise and innovation. The adopted acronym IANUS, is a tribute to the ancient deity Janus of arcades and gateways, looking both at the inside and at the outside of the knowledge production process. Trust in science and science-based innovation is never a given, nor should it be. A robust trust in science is well-placed, reciprocal and informed, while blind trust can be as harmful as unfounded distrust. Trust must be inspired by the transparency and trustworthiness of the knowledge production process, and anchored by actively involving and serving society, as part of the modus operandi.

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Diversity and Productivity from Education to Work | Aliya Rao | 2022-2025

This ESRC-funded project will advance understanding of the barriers to creating a diverse workforce and provide new evidence on the benefits of diversity to business performance. The role of education as the ‘leaky pipeline’ will be considered, in which individuals from under-represented groups lose access to career opportunities, creating a substantial ‘lost potential’ of highly qualified individuals.

A multidisciplinary team will tackle the project’s questions using cutting edge qualitative and quantitative methods from several disciplinary perspectives. The team will work with businesses to design, test and implement the recommendations from its research, directly affecting practice and hence workplace diversity. This will allow for an immediate impact on improving the opportunities of under-represented groups, in addition to increasing diversity in a way that maximises the benefits to firms.

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EU flag

Contestations of citizenship in contexts of democratic backsliding: lessons from post-communist Europe (CITDEM) Eleanor Knott | 2022 onwards

While post-Communist European countries have been the site of stalling democratization and rising backsliding, the consequences of backsliding on the evolution of citizenship regimes have remained largely unexplored. The collaborative CIVICA project on ‘Contestations of citizenship in contexts of democratic backsliding: lessons from post-communist Europe’ brings together EUILSE and CEU. Using case-studies and comparative research, we unpack how citizenship regimes change during periods of democratic upswings and downswings, and in particular when democratic governance becomes a façade veiling populist and authoritarian political objectives.

This project focuses on post-Communist Europe, as a site of recent state formation, democratization, and more recently democratic backsliding. But, in western Europe and North America, we are also observing the waning of democracy, rise of populism, and mounting concerns of political corruption and rule of law accompanied by threats to citizenship. Not only does the CITDEM project provide implications for studying the intersections of democracy and citizenship beyond post-Communist Europe, but it also holds potential to broaden collaboration to include, engage, and collaborate with scholars of western Europe, as another, albeit newer, site of democratic backsliding.

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ENDOW | Eleanor Power | Ongoing

This project is a cross-cultural, comparative and longitudinal study of social and economic inequality, co-directed by Eleanor Power. Called by the acronym “ENDOW” (Economic Networks and the Dynamics Of Wealth [Inequality]) and funded by the US National Science Foundation, this project has enlisted anthropologists working in over thirty countries around the world to gather comparable social network data in over forty communities.

The ENDOW project is aimed at investigating the economic consequences of social network structure, both for individuals and for the larger communities they comprise. This is a fundamentally comparative project, as we expect that the variation we observe in the structure of social networks will help to explain some of the cross-cultural variation in wealth inequality. The unique data gathered by the ENDOW team members will allow for fruitful investigations into the social and economic dynamics of these communities.

Read more, including publications that have drawn upon ENDOW data

Past research projects

police

What constitutes ‘good policing’? Improving police interactions with victim-survivors of rape and other sexual offences (method: survey) Jonathan Jackson | 2022-2023

Project context: Operation Soteria–Bluestone is a comprehensive academic-police programme that aims to radically and sustainably improve procedural justice and outcome justice for rape and other sexual offences.

Part of Operation Soteria-Bluestone focuses on what ‘good’ policing looks like from the point of view of the victim-survivor. We expand procedural justice theory to include a wider array of relational signals that police officers send through their actions, decisions and demeanour in the context of rape investigations.

Breaking down police actions along various dimensions, we test whether justice is experienced by victim-survivors along various behavioural and identity-relevant dimensions, including being treated with respect and dignity, being believed, kept informed and taken seriously, being shown that society cares about justice in the context of gender-based violence, and signalling that they could get some kind of closure—that they are not defined by their experience.

In addition to documenting people’s subjective experiences, we also explore some of the factors linked to secondary traumatisation (where the police response creates further distress and emotional pain) and people’s willingness to report gender-based violence in the future.

This survey-based study sits alongside further the work on “Victim engagement” carried out by "Pillar 3" of Operation Soteria-Bluestone, led by Kelly Johnson (University of Glasgow).

Read more about the study or see coverage in The Guardian.

drone

The police drone experiment: Using virtual reality to simulate a new mode of police surveillance Jonathan Jackson | 2018-2023

Trust and legitimacy are essential to a functioning legal system. To secure legal compliance, police need to demonstrate that they are a moral, just and appropriate institution that has the right to enforce the law. When people willingly abide by the law, this reduces the need for costly and minimally efficient modes of policing based on force, deterrence and intrusive surveillance.

Yet, AI and new technologies are increasingly being used by the police, raising issues of fairness, ethics and privacy. When police use drones to stop and scan people for facial recognition and a search for illegal goods, they turn everyday situations into moments of surveillance. How do people react? Does the experience damage trust and legitimacy?

In this ESRC-funded project the researchers use virtual reality to study the impact of drone surveillance on public attitudes. Virtual reality allows us to run a large-scale psychological experiment, recreating situations that would otherwise be impossible to recreate in a realistic, immersive way. After an initial priming experiment, research participants find themselves in a mundane cityscape—one designed to represent a US city, the other designed to represent a UK city—in which they are stopped by a drone and scanned for facial recognition and a search for illegal goods. By manipulating key aspects of the experiments—such as whether the encounter accords to principles of procedural justice—we test a psychological theory about the subjective experience of fairness and legitimation in the context of police use of surveillance technology.

One defining featureof this ambitious study is the photo-realistic quality of the VR experience. Another distinctive aspect is the use of Steam and directed advertising to recruit research participants at scale in the US and UK.

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homelessness

Developing Latent Hierarchical Network Models for Cross-Cultural Comparisons of Social and Economic Inequality | Eleanor Power | 2021-2022

This project will develop network models that fully exploit the various facets of the information typically contained in social network datasets. In doing this, the researchers depart from prevalent models in contemporary social network analysis that treat an observed network data set as representing the "true" network. Instead, they assume that the true network is "latent" and, therefore not empirically observed, and further frame the observed network data as an imperfect measurement of what they are modelling. In proposing this probabilistic framework, they will first account for the various individual-level biases that shape who people name (and who they do not). They will then extend their model to allow for nodes (here, people) to form into hierarchically nested groups (for example, households) and thus capture units at the different levels that are present in the system. Finally, they will expand this model to account for changes over time of both the individual units at different levels of the hierarchy and their relationships, thus capturing relevant time evolution.

The grant has been awarded by the ESRC and the project is grounded in the analytical needs of the "ENDOW project," a US National Science Foundation-funded project. The models that will be developed here will help them understand (and potentially then rectify) some of the drivers of social and economic inequality around the world.

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Welfare at a (Social) Distance | Kate Summers | 2020-2022

Welfare at a (Social) Distance is a major national research project funded by the Economic and Social Research Council as part of UK Research and Innovation’s rapid response to COVID-19.

The benefits system is crucial to supporting people during, and after, the COVID-19 crisis. During the pandemic, with a growing number of new claimants, the system faced two challenges. Firstly, to ensure people quickly got the money they needed. Secondly, to make sure that people are helped to return to work or supported further if unable to work. In this project, the researchers provided vital information on how we are meeting these challenges and where the system is struggling.

Read more or follow the project on Twitter

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DyLAniE: Methods for Analysis of Longitudinal Dyadic Data with Applications to Intergenerational Exchanges of Family Support | Jouni Kuha | 2017-2020

This methodological project is motivated by substantive research questions on intergenerational help and support within families. The project team includes social statisticians from the Department of Statistics and Department of Methodology at LSE, and social scientists from the Centre for Analysis of Social Exclusion (CASE) at LSE and the Institute for Economic and Social Research (ISER) at the University of Essex.

The principal aim of the project is to develop statistical latent variable models and methods of estimation for the analysis of clustered multivariate dyadic data, where the dyads represent, for example, adult individuals and their non-coresident parents and the latent variables their tendencies to give and receive practical and financial support from each other. This combines measurement models that relate binary indicators of assistance given and received to the latent tendencies, and regression models that relate these tendencies to characteristics of the individuals and their parents. Applied to cross-sectional and longitudinal survey data, the models have been used to investigate the factors that are associated with giving and receiving different kinds of support, and with reciprocity and complementarity in these exchanges.

The project is funded by the ESRC and EPSRC and the primary investigator is Professor Fiona Steele.

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Community-led recovery after the Grenfell Tower fire | Flora Cornish I 2017-2019

How can a community produce positive change as part of its post-disaster recovery? And can university-community collaborations contribute to empowering locally-owned recovery stories? The Grenfell Tower fire, in June 2017, devastated a West London community. It is widely accepted that community groups and individuals took leadership of the response to help their neighbours in the first hours, days, and months of uncertainty as the state assessed matters, apologised, set up processes, progressively lost local legitimacy, preserved core functions and insulated itself from damage. The ramifications of that situation are still unfolding.

Using a model of community-engaged research, Flora is currently researching community authority relations in the aftermath of the disaster through a 2-year ethnography and interview study, and an experiment in ‘public social history’, working collaboratively to produce locally-authored stories of recovery. Grounded in respect for the community’s role in producing its own recovery, the project aims to contribute to understandings of community resilience for future disaster responders, and to academic understandings of mechanisms of social change and stasis. 

The project has begun as a knowledge-exchange project, marshalling materials with which to build accounts of the process of recovery from different points of view, collaborating with community members on their own stories of recovery, as a foundation for developing academic versions. The project also enables knowledge exchange with emergency management professionals and policy makers in the interest of improving the environment for community-led disaster response and recovery. It is funded by a grant from LSE Knowledge Exchange and Impact.

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The Emergence of Inequality in Social Groups | Milena Tsvetkova | 2014-2018

From small organisations to entire nations and society at large, socio economic inequality is one of the most significant problems facing the world today. Funded by the Volkswagen Foundation, this four-year project will approach the problem of inequality from a new perspective and with new computational social science methods. An interdisciplinary team of sociologists, computer scientists, and physicists will develop and conduct large-scale controlled experiments online. 

This method will allow the construction of “artificial societies” comprising dozens of individuals who interact over days or weeks. Manipulating the structure of these multiple parallel worlds will help identify the structural conditions that give rise to inequality and inform policy and managerial interventions that reduce it.

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