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About me
Name: Dr. Julia Kasmire
Position: Post-doctoral Research Fellow
Where: UK Data Services and Cathie Marsh Institute at the University of Manchester.
Short Bio
2004 - BA in Linguistics from the University of California in Santa Cruz, including college honours, departmental honours and one year of study at the University of Barcelona.
2008 - MSc in the Evolution of Language and Cognition from the University of Edinburgh, with a thesis on the effects of various common simulated population features used when modelling language learning agents.
2015 - PhD from Faculty of Technology, Policy and Management at the Delft University of Technology under the supervision of Prof. dr. ig. Margot Wijnen, Prof. dr. ig. Gerard P.J. Dijkema, and Dr. ig. Igor Nikolic. My PhD thesis and propositions can be found online, as are my publications and PhD research projects (most of which addressed how to study transitions to sustainability in the Dutch horticultural sector from a computational social science and complex adaptive systems perspective).
Additional Resources
Many of the NetLogo models I that built or used can be found here on my CoMSES/OpenABM pages.
My ResearchGate profile and my Academia.org profile provide additional context and outputs of my work, including some data sets, analytical resources and research skills endorsements.
My LinkedIn profile contains additional insights into my education and experience as well as skills and knowledge endorsements.
I try to use Twitter to share what is happening with my research and to keep abreast of interesting discussions on complexity, chaos, artificial intelligence, evolution and some other research topics of interest.
You can find my SCOPUS profile and my ORCID profile as well.
Complex adaptive systems, sustainability, evolution, computational social science, data science, empirical computer science, industrial regeneration, artificial intelligence
Agent based modelling;
Land use/land cover change;
Payment for ecosystem services;
Bayesian Network;
System Dynamics
Graduate studies in mathematical behavioral sciences, with focus on developing cognitively plausible agent models for simulation of economic problems.
My main research interests are agent-based modeling, simulation of social complexity, computational social choice, distributed systems and applied artificial intelligence.
Interested in IWRM approach, analyzing coupled human-water relationship, Hydrological modelling, Bayesian networks, Agent based modelling
Agent Based Modeling (ABM), Agent Based Social System (ABSS), Multi-Agent Systems (MAS), Bayesian learning, Social networks Analysis (SNA), Socio ecological Dynamics.
PhD student at Victoria University of Wellington.
Modelling social-ecological systems and governance of the commons. Currently working in the Python and Java ecosystems. Public code hosted at https://codeberg.org/tkristinwilson
Bashar Ourabi is a principle consultant at arabianconsult of Syria where he has been chairman since 2003. He holds Bsc. Eng., A Grad. Certificate in Project engineering from the University of Central Florida; and a MS. in Public Administration from the Doha Graduate Institute in Qatar.
Bashar completed his graduate studies at Doha Institute for Graduate Studies and his undergraduate studies at the Unversity of Central Florida. His research interests lie in the area of systems modelling, ranging from theory to design to implementation. He has collaborated actively with researchers in several other disciplines of computer science, system design, and bigData Artificial Intellegence, particularly BigData Expert System and Automated decision Making.
He has served on many international posts overlooking public infrastructure design and operations, varying from public transport, urban design and operations management. These posts spanned over the the US and the Middle East including Florida, UAE and Qatar.
Bashar has served on many conferences and workshop program committees and has succesfully delivered many corporate training programs..
BigData
Artificial Intellegence
Web Based Decision Making and Expert Systems
Fuzzy Logic
AgentBased Modelling
Discret Event Simulation
Corporate Support Systems
My interests lie in the intersection of economics, networks, and computation. I am currently studying labour dynamics as a process where people flow throughout the economy by moving from one firm to another. I study these flows by looking at detailed data about employment histories of each individual and every firm in entire economies. Using this information, I construct networks of firms in order to map the roads that people take throughout their careers. This allows to study labour markets at an unprecedented fine-grained level of detail. I employ agent-based computing methods to understand how economic shocks and policies alter labour flows, which eventually translate into unemployment and other related problems.
As publically funded science has become increasingly complex, the policy and management literature has begun to focus more attention on how science is structured and organized. My research interests reside at the nexus of science and technology policy, organizational theory, and complexity theory—I am interested in how the management and organization of S&T research influences the implementation of policies and the emergence of organizational strategies and innovation. Although my research involves the use of multiple qualitative and quantitative methods, I rely heavily on agent based modeling and system dynamics approaches in addressing my research questions.
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