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[…]
This postdoc will work with all collaborators under the direction of Dr. Pat Zollner to develop an Agent Based Model of the behaviors of cage free chickens. This work will be informed by extensive empirical work and will use ODD & TRACE for documentation to compare alternative cage free housing systems based on chicken welfare and laying of eggs outside nest boxes. Work will incorporate perspectives from industry as well as interested non-governmental organizations.
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[…]
Developing artificial populations for digital twins and ABMs
UNU-Macau is looking for researchers with background in computer science, data science, computer-based modelling, computational social science, digital humanities or a related field, and focus on research areas related to data science and their use applied to topics already addressed by the Institute: cyber-security, health, artificial intelligence, etc., are highly welcome.
Researchers from the College of Forestry, Wildlife and Environment at Auburn University are implementing a 4-year project to understand the impacts of historical management activities on biodiversity of Alabama wildlife and to inform future approaches to habitat management on state lands. As part of this project, we are seeking a research assistant who will assist with coordinating all field- and office-based aspects of the project.
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.
Seeking a Postdoctoral Researcher, specializing on climate and environmental data science, to support development of innovative and high-quality analytical solutions to help understand climate impacts, crop and location-specific risks and adaptation options, and inform relevant investments in sustainable agriculture and climate adaptation.