Displaying 10 of 192 results for "I Nikolic" clear search
My research focuses pn the intersection between game theory, social networks, and multi-agent simulations. The objectives of this scientific endeavor are to inform policy makers, generate new technological applications, and bring new insight into human and non-human social behavior. My research focus is on the transformation of cultural conventions, such as signaling and lexical forms, and on many cell models models of stem cell derived clonal colony.
Because the models I analyze are formally defined using game theory and network theory, I am able to approach them with different methods that range from stochastic process analysis to multi-agent simulations.
My field of interests concerns two axes:
First, epistemology of computational modeling and simulation of complex systems. I am particularly interested in a sociological inquiry about social implication of knowledge derived from complex systems’ study.
Second, assessing the possibilities and limits of studying social complexity with complex systems tools, particularly, agent-based modeling and simulation.
My name is Zaid Barrak and custom patches have been a genuine passion of mine throughout my professional life, with Patches Maker CA being the company that has helped me deliver on that passion for my clients time and time again. I have guided everyone from small hobby groups to well established Canadian brands through the process of getting their custom patches made right.
Olá, I’m Daniel! 👋
I’m an R(esearcher) at the University of São Paulo (USP) working on complex systems and data science. My family name is actually KACHvartanian, but I go by Vartanian to save everyone from a linguistic workout.
I love building open-source tools, being part of active communities, and working with the R, Python, and NetLogo programming languages. When I’m not coding, I’m likely watching a good movie, seeing friends, wandering through new places, or tinkering with some obscure new thing that may or may not go anywhere.
I’m am computational social scientist and data scientist with a background in political communication and social media research that specialises in agent-based simulation, social network analysis and the computational study of social media behaviour.
For the last three years, I was a Research Associate in Computational Social Science at Durham University designing and evaluating algorithms for realistic artificial social networks in Julia by creating a taxonomy of existing generator papers, accessible as an interactive, open-access database (RShiny dashboard), in addition to exploring the interdependencies of social network’s structural properties.
For my PhD in Politics at Glasgow University (2023) I designed and implemented an agent-based model of online polarisation and offline protest mobilisation, applied to Catalonia’s independence movement in Spain.
agent-based models, social networks, echo chambers, polarisation, social influence, protest mobilisation
NetLogo, R, Julia and Python
The big picture question driving my research is how do complex systems of interactions among individuals / agents result in emergent properties and how do those emergent properties feedback to affect individual / agent decisions. I have explored this big picture question in a number of different contexts including the evolution of cooperation, suburban sprawl, traffic patterns, financial systems, land-use and land-change in urban systems, and most recently social media. For all of these explorations, I employ the tools of complex systems, most importantly agent-based modeling.
My current research focus is on understanding the dynamics of social media, examining how concepts like information, authority, influence and trust diffuse in these new media formats. This allows us to ask questions such as who do users trust to provide them with the information that they want? Which entities have the greatest influence on social media users? How do fads and fashions arise in social media? What happens when time is critical to the diffusion process such as an in a natural disaster? I have employed agent-based modeling, machine learning, geographic information systems, and network analysis to understand and start to answer these questions.
My research focuses on the productivity of harvesting systems in Maine. This research generally includes on the ground observation and the conducting of time and motion studies. I recently started using agent based modelling as a tool to simulate the interaction of various machines and the change in productivity based on specific input variables.
Volker Grimm currently works at the Department of Ecological Modelling, Helmholtz-Zentrum für Umweltforschung. Volker does research in ecology and biodiversity research.
How to model it: Ecological models, in particular simulation models, often seem to be formulated ad hoc and only poorly analysed. I am therefore interested in strategies and methods for making ecological modelling more coherent and efficient. The ultimate aim is to develop preditive models that provide mechanstic understanding of ecological systems and that are transparent and structurally realistic enough to support environmental decision making.
Pattern-oriented modelling: This is a general strategy of using multiple patterns observed in real systems as multiple criteria for chosing model structure, selecting among alternative submodels, and inversely determining entire sets of unknown model parameters.
Individual-based and agent-based modelling: For many, if not most, ecological questions individual-level aspects can be decisive for explaining system-level behavior. IBM/ABMs allow to represent individual heterogeneity, local interactions, and/or adaptive behaviour
Ecological theory and concepts: I am particularly interested in exploring stability properties like resilience and persistence.
Modelling for ecological applications: Pattern-oriented modelling allows to develop structurally realistic models, which can be used to support decision making and the management of biodiversity and natural resources. Currently, I am involved in the EU project CREAM, where a suite of population models is developed for pesticide risk assessment.
Standards for model communication and formulation: In 2006, we published a general protocol for describing individual- and agent-based models, called the ODD protocol (Overview, Design concepts, details). ODD turned out to be more useful (and needed) than we expected.
He is a member of IEEE, a computer scientist, an Information Technologist, and a Research Lab Head at the Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda. My research broadly integrates and focuses on developing principled computationally and statistically efficient models and algorithms for various machine learning problems in Smart Agriculture, Ecological Informatics, Computer Vision, Applied AI, Cybersecurity and Privacy, and Smart Cities. I attained a Bachelor in Information Technology at the Faculty of Science & Computing, Ndejje University, Kampala, Uganda; a Master in Information Technology Engineering (Computer and Communication Networks); and PhD in Computer Science Universiti Brunei Darussalam, Brunei. He has received additional training from, among others, the National Institutes of Health, US Department of Health and Human Services, and the Bloomberg School of Public Health, USA. Hundreds of scholarly publications, including those in prestigious peer-reviewed journal articles, numerous IEEE International, non-IEEE Conference proceedings, book chapters, and books have been published. Reviewer/editorial support of over twelve (Scopus, Compendex (Elsevier Engineering Index), and WoS International Journals, including Expert Systems With Applications, Scientific Reports and Computers and Electronics in Agriculture. I served in several capacities, including being departmental support for Mathematics for Data Science, Advanced Topics in Computing, and Advanced Algorithms. Prior to this, I served as a community data officer at Pace-Uganda, a research associate at TechnoServe, a research assistant at PSI-Uganda, a research lead at the Socio-economic Data Centre (SEDC-Uganda) and ag. managing director at Asmaah Charity Organisation.
Computer Vision, Artificial Intelligence, Security and Privacy, Smart Agriculture / Digital Agriculture, Health Computing, Digital Image Processing,
Social Networks Analysis, Sustainable Computing, Ecological Informatics, Smart Computing
I’m Lily Johnson, an academic assignment helper with an MBA and PhD, dedicated to supporting students who struggle with complex university tasks. With over five years of experience, I specialize in guiding students through research, writing, and structuring high-quality academic assignments. My goal is to simplify difficult concepts and help students meet academic standards with confidence. I’m passionate about providing reliable guidance and practical solutions that help students achieve better results in their studies.
Displaying 10 of 192 results for "I Nikolic" clear search