Nick Malleson
Biographic Data
| ID | 3927598 |
|---|---|
| NAME | Nick Malleson |
| GIVEN NAMES | Nick |
| FAMILY NAME | Malleson |
| SIGNATURE | MALLESON N |
| AFFILIATIONS | University of Leeds |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Digital twins and AI for healthy and sustainable cities
The paper discusses the relevance of the latest advances in data science and artificial intelligence for urban systems research. It has a particular focus on the importance of recent innovations in the context of ‘wicked’ urban problems which continue to confront decision-makers within practical policy settings. It is argued that the latest advances in AI such as large language models offer the potential for transformative research, but only if p…
Digital twins on trial: Can they actually solve wicked societal problems and change the world for better
Agent-based models of the United States wealth distribution with Ensemble Kalman Filter
Future Developments in Geographical Agent‐Based Models: Challenges and Opportunities
Despite reaching a point of acceptance as a research tool across the geographical and social sciences, there remain significant methodological challenges for agent‐based models. These include recognizing and simulating emergent phenomena, agent representation, construction of behavioral rules, and calibration and validation. While advances in individual‐level data and computing power have opened up new research avenues, they have also brought wit…
A dynamic microsimulation model for epidemics
Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter
Agent-based modelling is a valuable approach for modelling systems whose behaviour is driven by the interactions between distinct entities, such as crowds of people. However, it faces a fundamental di iculty: there are no established mechanisms for dynamically incorporating real-time data into models. This limits simulations that are inherently dynamic, such as those of pedestrian movements, to scenario testing on historic patterns rather than re…
Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter
Agent-based modelling is a valuable approach for modelling systems whose behaviour is driven by the interactions between distinct entities, such as crowds of people. However, it faces a fundamental di iculty: there are no established mechanisms for dynamically incorporating real-time data into models. This limits simulations that are inherently dynamic, such as those of pedestrian movements, to scenario testing on historic patterns rather than re…
Future Developments in Geographical Agent‐Based Models: Challenges and Opportunities
Despite reaching a point of acceptance as a research tool across the geographical and social sciences, there remain significant methodological challenges for agent‐based models. These include recognizing and simulating emergent phenomena, agent representation, construction of behavioral rules, and calibration and validation. While advances in individual‐level data and computing power have opened up new research avenues, they have also brought wit…
A dynamic microsimulation model for epidemics
Digital twins on trial: Can they actually solve wicked societal problems and change the world for better
Agent-based models of the United States wealth distribution with Ensemble Kalman Filter
Digital twins and AI for healthy and sustainable cities
The paper discusses the relevance of the latest advances in data science and artificial intelligence for urban systems research. It has a particular focus on the importance of recent innovations in the context of ‘wicked’ urban problems which continue to confront decision-makers within practical policy settings. It is argued that the latest advances in AI such as large language models offer the potential for transformative research, but only if p…
Computer Science (4 works) · Digital Transformation in Industry (2 works) · Econometrics (2 works) · Economics (2 works) · Engineering (2 works) · Geography (2 works) · Political science (2 works) · Smart Cities and Technologies (2 works) · Artificial Intelligence (1 works) · Cartography (1 works)