In my fellowship I have conducted groundbreaking research and spearheaded innovative initiatives, leading a team to explore and devise technological enhancements for democratic innovation. Employing a mix of artificial intelligence, design methodologies, and social science, I've amalgamated data, and analysed and compared cases to draw out lessons for democracy. I have designed software using participatory methods to craft technologies and interventions that prioritise human experience and transparency in democratic procedures. This project is driven by the aspiration of empowering citizens, bolstering the safety of communities, and heightening confidence in societal institutions through understanding which interventions build and fortify democratic activities. It involves making space for often marginalised voices, curbing hateful speech, and ensuring diverse community participation in public discourse and in governance. My focus lies in the creation of interdisciplinary data science tools that allow for analysis of political text, speech, and video. The approach involves constructing advanced models that answer pertinent research questions and navigate the ethical and social consequences of deploying algorithms in democratic engagement. The project team is committed to designing and engineering democracy software that transcend temporary successes, with an emphasis on adapting interventions to a variety of governance, workplace, and community settings. We aim to build knowledge about how techniques can be used wherever we need to make collective decisions, and deal peacefully and fairly with disagreement. We will develop AI interventions that augment existing democratic innovations, that are pragmatic and applicable in day-to-day contexts. We aspire to understand how these innovations can be sequenced optimally for transparency, trust, and mutual oversight. This involves carrying out randomised controlled trials and employing other research methods to ascertain when and how to step in to restore trust in institutions, and consequently, enhance the governance of emerging technologies. The fellowship supports me to lead a multidisciplinary research and innovation hub in the UK, one that is fervently devoted to preserving and enriching democracy. This project aims to deliver novel research involving many scientific disciplines contributing to a flourishing economy and society in the UK and beyond.

The spread of democracy has been crucial to developing a world order that has facilitated productive economic, social, and cultural growth, yet by almost any measure, democracy is in crisis. I have made a leading contribution to comparative approaches to the study of democratic innovation. I have been to the fore in drawing insights from democratic theory and empirical social science, connecting researchers with practitioners of democracy in government and society. With this fellowship, I will develop interventions to avert the crisis of democracy. Despite continued support worldwide for democracy as a regime, democracy as a practice is suffering. Issues include declining trust in government and political parties, distorted digital communications, and rising populism and polarisation in politics. In a positive response, governments, businesses, and charities are already reimagining democracy. They have designed inventive democratic services and devices that can help sustain democratic order. Some examples include participatory budgeting, randomly selected juries, and different forms of referendums. These social innovations are often supported by civic technologies, open data applications, citizen science, and behavioural nudges such as information cues that increase civic volunteering. Yet we know little about what works beyond case studies. I have taken a leading role in the development of a comparative research agenda. A number of projects such as participedia.net (of which I am a co-investigator and executive member), have begun to collect systematic data on how these devices improve democracy (or do not). Despite the abundance of information, research has yet to take advantage of the analytic potential of data science and new technologies. In the project, I will bring together traditional survey data, and new forms of crowdsourced and real-time data to understand what interventions actually help to sustain rather than hinder democracy. In the first step, the project will push the frontiers of knowledge about what has worked before and what has not. I will use set-theoretic methods, at the cutting edge of comparative analysis in the social sciences to determine the conditions in the past that have been necessary and sufficient for increases in positive democratic behaviours. The method can establish which combinations of conditions in different contexts achieved democratic improvements such as inclusion, learning, deliberation, and support for institutions. At the University of Southampton, I am uniquely positioned among prominent social and computer scientists to lead a multi-disciplinary research team in developing indicators and data analytics for democratic innovation. I will harness available data to provide the necessary information on developing political contexts to guide policymakers in the development and choice of instruments for democratic decision-making. My work will reduce wasted resources in public consultation. These indicators will include new measures of the extent to which debates are consolidating in the public sphere using social media data, argument mapping and opinion polling. Economic indicators of government capacity, as well as indicators of civil society capacity and the levels demand for inputs from citizens will be incorporated to complement those data. The ultimate aim of the project is to use advances in traditional and new forms of data analysis, to work in accordance with the best that democratic theory and political philosophy has to offer. The project will involve agile design of indicator dashboards and complementary social interventions. In conjunction with international and national experts in public engagement, we will deliver field experiments to test feasibility of designs. The fellowship will allow me to lead a multi-disciplinary research agenda developing data science that responds to and integrates the lessons of democratic theory and empirical social science.

The link between citizens and the state is the crux of democratic politics, yet it is crumbling. Numerous studies have diagnosed a crisis in representative politics with decreased participation and growing levels of distrust bringing the legitimacy of democratic institutions into doubt. For many a solution has been offered by digital technology, leading parties to embrace new digital campaigning software. To explore the capacity of digital innovations to renew democracy this study argues that we need to understand the nature of the 'disconnect' between parties and the people. As such, this study departs from traditional analyses of 'digital democracy' by focusing on public attitudes. Adapting the methodological approach used by Allen and Birch (2015) the project will discern how the public and parties conceive democratic linkage in practice and as an ideal, highlighting contradictions and convergence to diagnose the problem. Correlating these insights to the functions of digital software and theories of democratic linkage (Dalton, Farrell and McAllister, 2011) the capacity of digital innovations to renew party politics is considered. To enable analysis 3 work packages (WP) are conducted. WP1: How do parties perceive democratic linkage, and how have parties used digital management systems since 2010? WP1 will first identify available forms of the type of digital innovation of interest to this project - namely 'digital management software' - and will categorise the functions they perform. Second, it will explore and develop theories of democratic linkage to provide a framework for subsequent analysis. Then, using interviews, internal party data and 3 case studies of constituency parties (1 from Labour, the Conservatives and Scottish National Party) the PI and RA will map perceptions of democratic linkage and usage of digital technology. This data will provide new insight on developments in party politics and will be used to produce case study accounts and articles that trace the form of change and consider the impact of digital technology on party organisation. WP2: How do citizens perceive democratic linkage, and how does parties' use of digital management systems affect public attitudes? Work package 2 explores the impact of new technology. Working with YouGov the PI will commission 2 surveys. The first will assess public attitudes towards parties', seeking to discern how the public want parties to engage and how they perceive this to work in practice. Data will be analysed to identify conceptions of democratic linkage (WP1) and then compared with party attitudes to identify synergies and incongruities in public and party conceptions. This analysis offers a diagnosis of the state of current linkage, and will identify areas of 'disconnect' to be further examined in WP3. This WP will also probe public attitudes towards parties' use of digital campaigning techniques. Utilising a split sample survey, designed in collaboration with Dr Chris Jones, the PI will assess whether practices such as social media data mining are compatible with public notions of democratic linkage. This will inform an article, infographics and practitioner briefing papers. WP3: Can digital campaigning methods resolve the disconnect between citizens and the state? In collaboration with the think tank Involve, the PI will use 3 deliberative events to explore parties' and citizens' attitudes towards democratic linkage and test the capacity of different forms of digital technology to reconcile these perceptions. Building on survey data these events will test attitudes; exploring whether sustained reflection affects how public and party desires are conceived (drawing on work by Stoker, Hay and Barr, forthcoming). Events will identify ideal forms of linkage - findings that will be used, returning to WP1, to consider the capacity of different forms of digital technology to promote linkage and hence renew party politics.

Technological advances in Artificial Intelligence and Big Data, have already given rise to extensive socio-economic transformation and new and emerging technologies, such as distributed ledgers and the Internet of Things, are set to further revolutionise the information and service economy, and public services. Yet, technological innovation has the potential to also dis-benefit the most vulnerable, amplify existing forms of injustice and create new forms of exclusion in socio-economic life, thus further exacerbate socio-economic inequality and social division. That the whole of society benefits from progress in the Digital Economy is national priority, both morally and economically as those who are most vulnerable have the greatest need of opportunities for socio-economic participation. Taking a Social Justice approach, this NetworkPlus focuses on how the design of new and emerging technologies in the Digital Economy, and their application, can empower, emancipate and more equitably distribute opportunities for economic development to all citizens, consumers and employees. This EPSRC NetworkPlus: Social Justice through the Digital Economy aims to bring together and resource partners from academia, industry, government and civil society to understand, explore and respond, together, to the potential of new and emerging technologies to make the UK socio-economic life fairer for all. The NetworksPlus activities will focus on three challenge areas: Algorithmic Social Justice; Digital Security for All; Fairer Futures for Businesses and Workforces. Algorithmic Social Justice examines fairness in the design and application of AI algorithms in automated and semi-automated decision-making processes. It asks how can large data sets be classified and interpreted to inform, for example, care or health interventions programs or city planning and how can AI algorithms be made less opaque and criteria used to design them fairer and transparent. Digital Security for All investigates new and better ways to model digital security that increase people's sense of agency, while meeting their security needs and protection of assets in public and commercial online service delivery. For example, this challenge area asks in what ways can online services be designed to better support people's sense of agency and trust, while assuring security in sharing personal data online. Fairer Futures for Businesses and Workforces considers how new 'sharing economy' platforms can be designed to realise more ethical business models and equal opportunities for economic development. For example, this theme asks what platforms can be designed to support peer-to-peer markets places that cater for those who have little or no assets; and what are the implications for a fair workforce representation in the digital era. The NetworkPlus will enable new ways to support effective collaborations between academic and non-academic communities and organisations through a range of activities, including a curated series on events in the three thematic priorities and an innovative and more directed process of project commissioning. The NetworkPlus will deliver curated events and activities-including symposia, hands-on workshops, theory-hacks and design and development sprints, aiming to increase capacity, upskilling and foster trans-disciplinary dialogue, knowledge exchange between academic and non-academic communities as well as. The NetworkPlus will deliver a novel curated commissioning process of activities designed to support EPS doctoral researchers and Early Career Researchers developing impactful project proposals in partnership with industry, government, third sector and civil society.