Development and usage of demographic microsimulation tools and applications, in particular mate-matching and statistical modeling as well as analysis of output
Continuous double auction markets; call auction; alternative market structures
I received my BSc, MSc, and PhD from the University of Nottingham. My PhD focuses on the Agent-Based Modelling and Simulation (ABMS) of Public Goods Game (PGG) in Economics. In my thesis, a development framework was developed using software-engineering methods to provide a structured approach to the development process of agent-based social simulations. Also as a case study, the framework was used to design and implement a simulation of PGG in the continuous-time setting which is rarely considered in Economics.
In 2017, I joined international, inter-disciplinary project CASCADE (Calibrated Agent Simulations for Combined Analysis of Drinking Etiologies) to further pursue my research interest in strategic modelling and simulation of human-centred complex systems. CASCADE, funded by the US National Institutes of Health (NIH), aims to develop agent-based models and systems-based models of the UK and US populations for the sequential and linked purposes of testing theories of alcohol use behaviors, predicting population alcohol use patterns, predicting population-level alcohol outcomes and evaluating the impacts of policy interventions on alcohol use patterns and harmful outcomes.
US Open Golf 2017 ,The 2017 U.S. Open will tee off in Wisconsin at Erin Hills for the first time in 117 years. Tee times will begin Thursday, June 15, and run through Father’s Day weekend finishing on Sunday, June 18.
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Down Networks is a real time, progressively agile non profit startup whose goals are to fund its research via pragmatically aggressive altruistic entrepreneurial pursuits informed by proprietary in-house techniques, open source technology and refined scientific methodology.
My research interests include policy informatics and decision making, modeling in policy analysis and management decisions, public health management and policy, and the role of public value in policy development. I am particularly interested in less mainstream approaches to modeling that account for learning, feedback, and other systems dynamics. I include Bayesian inference, agent-based models, and behavioral assumptions in both my research and teaching.
In my dissertation research, I conceptualize state Medicaid programs as complex adaptive systems characterized by diverse actors, behaviors, relationships, and objectives. These systems reproduce themselves through both strategic and emergent mechanisms of program management. I focus on the mechanism by which citizens are sorted into or out of the system: program enrollment. Using Bayesian regression and agent-based models, I explore the role of administrative practices (such as presumptive eligibility and longer continuous eligibility periods) in increasing enrollment of eligible citizens into Medicaid programs.
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.
After being the economic development officer for the Little/Salmon Carmacks First Nation, Tim used all his spare time trying to determine a practical understanding of the events he witnessed. This led him to complexity, specifically human emergent behaviour and the evolutionary prerequisites present in human society. These prerequisites predicted many of the apparently immutable ‘modern problems’ in society. First, he tried disseminating the knowledge in popular book form, but that failed – three times. He decided to obtain PhD to make his ‘voice’ louder. He chose sociology, poorly as it turns out as he was told his research had ‘no academic value whatsoever’. After being forced out of University, he taught himself agent-based modelling to demonstrate his ideas and published his first peer-reviewed paper without affiliation while working as a warehouse labourer. Subsequently, he managed to interest Steve Keen in his ideas and his second attempt at a PhD succeeded. His most recent work involves understanding the basic forces generated by trade in a complex system. He is most interested in how the empirically present evolutionary prerequisites impact market patterns.
Economics, society, complexity, systems, ecosystem, thermodynamics, agent-based modelling, emergent behaviour, evolution.