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Data Assimilation for Agent-Based Models: Applications to Civil Emergencies

Cel

Civil emergencies such as flooding, terrorist attacks, fire, etc., can have devastating impacts on people, infrastructure, and economies. Knowing how to best respond to an emergency can be extremely difficult because building a clear picture of the emerging situation is challenging with the limited data and modelling capabilities that are available. Agent-based modelling (ABM) is a field that excels in its ability to simulate human systems and has therefore become a popular tool for simulating disasters and for modelling strategies that are aimed at mitigating developing problems. However, the field suffers from a serious drawback: models are not able to incorporate up-to-date data (e.g. social media, mobile telephone use, public transport records, etc.). Instead they are initialised with historical data and therefore their forecasts diverge rapidly from reality.

To address this major shortcoming, this research will develop dynamic data assimilation methods for use in ABMs. These techniques have already revolutionised weather forecasts and could offer the same advantages for ABMs of social systems. There are serious methodological barriers that must be overcome, but this research has the potential to produce a step change in the ability of models to create accurate short-term forecasts of social systems. The project is largely methodological, and will evidence the efficacy of the new methods by developing a cutting-edge simulation of a city – entitled the Dynamic Urban Simulation Technique (DUST) – that can be dynamically optimised with streaming ‘big’ data. The model will ultimately be used in three areas of important policy impact: (1) as a tool for understanding and managing cities; (2) as a planning tool for exploring and preparing for potential emergency situations; and (3) as a real-time management tool, drawing on current data as they emerge to create the most reliable picture of the current situation.

Dziedzina nauki (EuroSciVoc)

Słowa kluczowe

Program(-y)

Temat(-y)

System finansowania

ERC-STG - Starting Grant

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Zaproszenie do składania wniosków

(odnośnik otworzy się w nowym oknie) ERC-2017-STG

Wyświetl wszystkie projekty finansowane w ramach tego zaproszenia

Instytucja przyjmująca

UNIVERSITY OF LEEDS
Wkład UE netto
€ 1 499 840,00
Adres
WOODHOUSE LANE
LS2 9JT Leeds
Zjednoczone Królestwo
Region
Yorkshire and the Humber West Yorkshire Leeds
Rodzaj działalności
Higher or Secondary Education Establishments
Linki
Koszt całkowity
€ 1 499 840,00

Beneficjenci (1)