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The aim of this project is to understand and quantify the roles of sociocultural and biophysical factors in the evolution of linguistic diversity using an agent-based modelling approach. The spatial agent-based model should simulate how and where languages (agents) change, merge, and split over time. You will use linguistics theory in combination with large datasets of environmental, demographic, sociocultural and linguistic variables to define the model rules.
POSITION DESCRIPTION
We are looking to recruit a postdoctoral scholar for a two-year position in an interdisciplinary NSF-funded research project (#2020751). A premise of the work is that open source …
The Department of Political Science at Northwestern University seeks applications for a full-time, teaching-track Assistant Professor of Instruction in Computational Social Science to begin on September 1, 2024.
Arizona State University’s School of Complex Adaptive Systems has an opening for a social or ecological scientist, with expertise in scientific modeling, to work with an interdisciplinary team to design, develop, refine, and apply cyberinfrastructure that supports computational models of the complex interactions and dynamics in social-ecological systems.
The Jheronimus Academy of Data Science (JADS) is the joint Data Science Academy of Tilburg University and Eindhoven University of Technology, the Netherlands. JADS is seeking an enthusiastic colleague for the position of PhD researcher in Social support for the real-world introduction of AI in critical infrastructure, as part of the ILUSTRE project that focusses on use-cases in the Caribbean region.
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[…]
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.
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.
Displaying 10 of 50 results data science clear search