Displaying 10 of 211 results funded clear
You will work on a project, funded by the European Research Council, called Data Assimilation for Agent-Based Models (DUST). The project is developing agent-based computer simulations that can be used to model social phenomena – such as disease spread, traffic congestion, or crowding in busy public places – in real-time, with the aim of providing valuable, up-to-date information to decision makers. Agent-based modelling is an ideal methodology for this type of simulation but has rarely been[…]
Objective: to understand, from models confronted with empirical data, how individuals’ opinions and preferences interact with the structuring of social networks and groups to generate collective behaviors and social dynamics.
Keywords: computational social science, opinion dynamics, complex systems modeling, web-mining & deep learning, cognitive science.
Abstract: The formal modeling of social phenomena has known several interdisciplinary contributions since the founding work of John Nash[…]
Fully funded MS assistantship using remote sensing data and field-based vegetation observations to examine past and future changes in wildlife habitat in Alabama.
Fully funded PhD assistantship modeling past and future changes in avian distributions on public lands throughout Alabama.
We are looking for a postdoctoral researcher to lead a participatory modelling study that analyses the vulnerability of Spanish rural communities to the compounded effects of climate change, depopulation and agricultural trade, and explores the feasibility and effectiveness of vulnerability mitigation policies.
Deadline: 31th of January
Job Purpose
To make a leading contribution to the research and data service activities of the UKRI-ESRC-funded Urban Big Data Centre (UBDC). Specifically, working with Professor Alison Heppenstall, the job requires a background in computational modelling, particularly individual-based modelling approaches (agent-based modelling and microsimulation) within the area of urban analytics and social simulation. You will develop individual-level models, together with the underpinning methods, th[…]
The aim of the proposed Ph. D. project is to develop and evaluate alternative scenarios for spatially dispersed Net Zero lifestyles that entail viable rural communities and economies; with the viability being demonstrated through spatial agent-based social simulation. The following research questions could be investigated in pursuit of this aim, though the student will be encouraged to develop these questions themself:
The George Mason University Departments of Geography and Geoinformation Science and Computational and Data Sciences within the College of Science have an immediate opening for a multi-year postdoctoral fellow, subject to budgetary approval. This position will be part of a multi-institutional team participating in a funded research program. The GMU team is directed by Drs. Taylor Anderson, Hamdi Kavak, and Dieter Pfoser. George Mason University has a strong institutional commitment to the ac[…]
We are looking for someone who can develop an area of work using agent-based models to explore circular economy scenarios, and who is interested in developing and delivering training courses on agent-based modelling. You will be contributing to Scottish Government-funded work on the Circular Economy and Large-Scale Modelling, working in interdisciplinary project teams to deliver policy-relevant insights. A systems thinker, you will have a passion for using your agent-based mo[…]
An opportunity is available for a fully funded PhD position to work on a project that aims to analyze how global and local connections and networks impact the spread of an infectious disease. The project will combine a number of methodologies such as network analysis, agent-based modelling, machine learning, and mathematical modelling.
Displaying 10 of 211 results funded clear