ADM+S draws on the humanities, social and technological sciences. Our research is designed to expand, integrate, and apply our knowledge of the dynamics of ADM. In order to achieve this, we combine four research programs and four focus areas.

Select the yellow items in our interactive diagram below to explore our research areas.

PARTNERS OUR VISION FOCUS AREAS DISCIPLINES RESEARCH PROGRAMS NEW MODELS FOR SOCIAL SERVICES DATA MACHINES INSTITUTIONS PEOPLE NEWS AND MEDIA TRANSPORT AND MOBILITIES HEALTH Digital communications +
Data science +
Critical data studies +
Computer science +
Law +
Regulatory theory +
Economics +
Ethics +
Sociology +
Design +
Anthropology
Responsible, ethical and inclusive automated decision-making. Data practice and policy +
Ethical design for ADM machines +
Sustainable governance +
Public engagement,
co-design and trust
Reduced risks and better outcomes through fit-for-purpose design, governance and public investment.

THE RESEARCH PROGRAMS

Automated decision-making systems are not purely technological: they comprise a number of elements, including the data that enables predictive decision-making machines; the institutions that provide regulatory settings; and the people who design, use, imagine and adapt automated systems, and whose lives are affected by them.

The Centre’s four Research Programs — Data, Machines, Institutions, and People — examine all the different elements that constitute automated decision-making systems. Together, they enable us to build the first comprehensive account of the social development, distribution, dynamics, performance and effects of ADM.

THE FOCUS AREAS

The Centre’s four cross-centre Focus Areas bring together our researchers to look at how automated decision-making works in four key domains – News and Media, Transport and Mobility, Health, and Social Services.

Our focus areas have been chosen because:

  • they are well-documented areas where decision-making technologies are widely used;
  • they align closely to national research priorities and agendas; and
  • they are domains where governments and communities have coordinated, regulated and pooled resources to manage and mitigate major social risks – to public health and welfare, mobility, and democracy.

The introduction of new, untested decision-making technologies in these domains creates new possibilities for success and failure in large-scale institutional systems that have been specifically designed to reduce individual and social hazards.

The Focus Areas provide material for many of the empirical investigations in the four research programs, and they ensure our research is directed towards engagement, translation and outcomes in exemplary and essential sectors. Their hallmark is close collaboration with our partner organisations and stakeholders.

GET INVOLVED

Would you like to be a part of our ground breaking research?

You can become a citizen scientist by participating in some of our key projects.

When you get involved in our research, you contribute to creating the knowledge and strategies necessary for responsible, ethical, and inclusive ADM.

RESEARCH PROJECTS

  • Research Programs

  • Focus Areas

Responsible health consumer data analysis and ADM

Creating a replicable framework for building capacity (expertise, literacy, data partnerships and data governance) to unlock the social value and impact of advanced data analytics, AI and ADM across the not-for-profit sector.

Mapping the Public Conversation on ADM

Operationalising new data partnerships and implementing data analysis to improve non-profit and humanitarian sector work.

Hybrid digital methods for detecting and managing problematic automated agents in social media

Operationalising new data partnerships and implementing data analysis to improve non-profit and humanitarian sector work.

Transparent Machines: From Unpacking Bias to Actionable Explainability

Unpacking the biases in models that may come from the underlying data, or biases in software that could be designed with a specific purpose and angle from the developers’ point-of-view

Quantifying and Measuring Bias and Engagement

Recent developments in machine learning and information access communities attempt to define fairness-aware metrics to incorporate into these frameworks. This project will address a number of research questions related to quantifying and measuring bias and engagement that remain unexplored.

Governing ADM Use

Examining the challenges to, and opportunities for, liberal and democratic institutions and governance presented by ADM.

Democratic Practices of Governance Given ADM

Developing a theoretically rich analysis of democracy and freedom given ADM.

The Coronavirus Impact

Considering ethical approaches in the area of automated decision-making (ADM) and civic life with a focus on civic commitments and concerns.

When All Data is Health Data

Considering the ethical issues raised by new streams of health data, including how best to regulate the use of the data, its storage, and the infrastructures that collect it.