Modelling
Understanding a complex world
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| When designing systems that are complex, dynamic and stochastic in nature, simulation is generally recognised as one of the best design support technologies, and a valuable aid in the strategic and tactical decision making process. A simulation model consists of a set of rules that define how a system changes over time, given its current state. Unlike analytical models, a simulation model is not solved but is run and the changes of system states can be observed at any point in time. This provides an insight into system dynamics rather than just predicting the output of a system based on specific inputs. |
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| Due to the complexity of the real world, a simulation model can only be an approximation of the target system. The essence of the art of simulation modelling is abstraction and simplification. Only those characteristics that are important for the study and analysis of the target system should be included in the simulation model. |
| The purpose of simulation is either to better understand the operation of a target system, or to make predictions about a target system’s performance. It can be viewed as an artificial white-room which allows one to gain insight but also to test new theories and practices without disrupting the daily routine of the focal organisation. |
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Current Projects
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IMA Lead
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Value
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Funder
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Reference
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| Horizon: Digital Economy Hub at University of Nottingham |
Aickelin (CI) |
£12,459,687 |
EPSRC |
EP/G065802/1 |
| Centre for Plant Integrative Biology |
Garibaldi (CI) |
£9,800,000 |
BBSRC |
BBD0196131 |
| Operational Research for Context Aware Intrusion Detection |
Aickelin (PI) |
£621,658 |
EPSRC |
EP/D071976/1 |
| Multiscale Modelling to Maximise Demand Side Management |
Aickelin (CI) |
£612,659 |
EPSRC |
EP/I000496/1 |
| Modelling and Analysing the Cargo Screening Process |
Aickelin (PI) |
£492,347 |
EPSRC |
EP/G004234/1 |
| Energy Decision Making for Cities - Complexity Challenge |
Aickelin (PI) |
£254,133 |
EPSRC |
EP/G05956X/1 |
| Expert Variation for Problems in Information Risk |
Garibaldi (PI) |
£37,196 |
GCHQ |
n/a |
Total Current Principle Investigator
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£1,405,334 |
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Total Current Co-Investigator
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£22,872,346 |
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| Total Current Funding |
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£24,277,680
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Previous Projects
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| Danger Theory: The Missing Link Between AIS and IDS |
Aickelin (PI) |
£657,407 |
EPSRC |
GR/S47809/01 |
| Pervasive Computing for Mass Participation in Environmental Monitoring |
Radenkovic (CI) |
£407,187 |
EPSRC |
EP/D0337801/1 |
| Two Timescale Immunological Learning |
Aickelin (PI) |
£185,184 |
EPSRC |
EP/E003257/1 |
| Towards A Framework for Modelling Variation |
Garibaldi (PI) |
£143,282 |
EPSRC |
EP/C542207/1 |
| The Role Of Management Practices in Closing The Productivity Gap |
Aickelin (PI) |
£118,936 |
EPSRC |
EP/D503949/1 |
| Collaborative Decision Making in Uncertain Enviroments |
Garibaldi (PI) |
£75,275 |
EPSRC |
CASE/SmithInst |
| An Investigation of Non-Deterministic Fuzzy Reasoning |
Garibaldi (PI) |
£67,451 |
EPSRC |
GR/R55085/02 |
| Anne Mclaren Fellowship |
Greensmith (PI) |
£37,000 |
University |
n/a |
| Personalised Alpine Sports Enhancer |
Garibaldi (PI) |
£12,250 |
EPSRC |
EP/E018580/1 |
| Context, Location & Language: A Thrilling Feasibility Study |
Greensmith (CI) |
£10,000 |
EPSRC |
EP/E018580/1 |
| Total Previous Principle Investigator |
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£1,296,785 |
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| Total Previous Co-Investigator |
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£417,187 |
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| Total Previous Funding |
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£1,713,972 |
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