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Agent-based modelling
Projects
Developing an agent-based market simulator that can be used to test policy hypotheses
Dynamic digital twins of interconnected energy and transport networks
Integrating accurate digital representations of existing and planned transport and energy infrastructure
Real-time data assimilation for digital twins
Developing methods to improve the use of real-time data in system representations
Shocks and resilience
Measuring policy impact in the COVID-19 crisis and building resilience against future shocks
Programmes
Publications and software
COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing
The rapid global spread of COVID-19 has led to an unprecedented demand for effective...
Gupta, Prateek, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan et al. "COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing." arXiv preprint arXiv:2010.16004 (2020).
Predicting Infectiousness for Proactive Contact Tracing
The COVID-19 pandemic has spread rapidly worldwide, overwhelming manual contact tracing in many countries...
Bengio, Yoshua, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Muller et al. "Predicting Infectiousness for Proactive Contact Tracing." ICLR 2020.
Assessing Simulations of Imperial Dynamics and Conflict in the Ancient World
The development of models to capture large-scale dynamics in human history is one of...
Madge, Jim, Giovanni Colavizza, James Hetherington, Weisi Guo, and Alan Wilson. 2019. Assessing Simulations of Imperial Dynamics and Conflict in the Ancient World. Cliodynamics10:24–39.
Events
UK multi-agent systems symposium
Monday 24 Feb 2020
Time: 10:00 - 17:00
Creativity and design in AI
Monday 18 Nov 2019
Time: 15:00 - 17:30
Interest groups
Novel data linkages for health and wellbeing
How can we use novel digital footprint data for research to benefit health and wellbeing?
Bridging machine learning and behaviour models
How can we bridge data-driven and theory-driven behavioural models?
Learning the organisational principles of living systems
Can machine learning and AI help us to discover organisational principles of living systems?
Trustworthy digital identity
How can we understand, evaluate and advance the trustworthiness of digital identity systems?
Environment and sustainability
What role can data science and AI play in addressing the challenges associated with environmental change?
Multi-agent systems
How can research in multi-agent systems help us to address challenging real-world problems?
People
Vivienne Leech
Enrichment Student
Christos Panoutsakopoulos
Enrichment Student
Kevin Donkers
Enrichment Student
Aoife Hughes
Data Scientist
Everlyn Kamau
Enrichment Student
Veselin Manojlović
Enrichment Student
Susana Roman Garcia
Enrichment Student
Jiayu Pan
Enrichment Student