Like it’s sibling in New York, CUSP London is an interdisciplinary research and graduate-level teaching centre that uses London as both lab and classroom. We bring together researchers, policy-makers, and professionals to tackle urban challenges in the belief that cross-cutting, collaborative work is the best way to deliver solutions with real-word impact: the close involvement of our government and private sector partners allows CUSP London to translate research into action.

What We Do

CUSP London’s expertise spans Computer Science, Computational Social Science and Health & Medicine.  Areas of particular interest include:

  • Agent-based modelling of individuals, organisations, and their environment in a range of applied urban contexts (e.g. travel mode choice, neighbourhood change).
  • AI-based reasoning in support of policy-development in urban applications such as hazards and resilience, security and conflict, and planning and regeneration (e.g. counter-terrorism, autonomous vehicles, and history-based personalisation for service users).
  • Sensor network deployment and citizen science in challenging urban environments, including post-disaster and ‘low-tech’ contexts (e.g. air quality/pollution, resilient networks).
  • Text-mining in support of healthcare data collection and analytics in urban areas (e.g. mental health, active travel).

These activities are underpinned by a commitment to transparency and openness with respect to how we develop and document analytical pipelines and results from end-to-end.

MOTIVATE: Modelling Normative Change in Active Travel

Agent-based modelling of city residents decisions on modes of commuting travel, focused on the norms of behaviour and how they may be influenced by policy to be more healthy.

Aims to allow local city government agencies to model and assess hypothetical interventions to encourage active travel.

Justified Assessments of Service Provider Reputation

Taking past circumstances of previous users of a service into account in personalising recommendations to new users.

Applied to city services, such as taxi hailing apps, and urban circumstances that affect them, such as business vs tourism, congestion, etc.

W3C PROV standard for provenance interoperability

A standard to document, in a computer-parseable manner, the way in which published data has been collected, aggregated, versioned, manipulated etc.

Allows city agencies that are making their data openly available to provide clarity on how data should be interpreted based on its origins, for use in applications analysing that data.


A platform to allow elderly people living at home to take their own nutrition-related readings, and have a remote nutritionist monitor their health.

Within a city, this platform aims to take the burden away from civic support for ensuring the elderly remain healthy through good nutrition and allow them more independence.

Autonomous Vehicles and City Policy

Integrate the development of autonomous vehicles into wider urban mobility/sustainable cities policy.

Design of experiments on connected units

Treatments used in clinical trials are usually assumed to affect only the patient they are applied to. In closed communities, there can be spill-over and the treatment allocation has to be adjusted to allow for this.

Urban Safety resilience evaluation against terrorist attacks in One Belt One Road (OBOR) countries
Counter terrorism strategies and information communication
Strengthen low-carbon training modules into government officials’ capability building National Development and Reform Bureau