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Inyoung Hwang is an Associate Research Fellow at Korea Institute of Science & Technology Evaluation and Planning (KISTEP), South Korea. He was a visiting scholar in the School of Public Affairs at Arizona State University. He received a B.Sc. in Vocational Education and Workforce Development, an M.P.P. in Public Policy, and a Ph.D. in Public Policy from Seoul National University.
Science & Technology Policy, Collaborative Innovation, Technological Diffusion and Convergence, Agent-Based Modelling, and Social Simulation.
We can create custom research papers, essays, business reports, book or article reviews, research proposals, dissertations, IB extended essays, and many more types of papers. We help with papers for different complexity levels too, namely from high school to PhD papers. The writing is adapted to the chosen level so that our customers could safely claim the paper to be their own. In addition, we can create papers from scratch or can help you improve your draft at any writing stage by our custom paper writer
I am a computational social scientist, engineer, and systems researcher. I work in several aspects of modelling the dynamics of organisational, economic and social systems. I am interested in the link between micro-level rules, structural interdependence and macro-level outcomes in a variety of settings (e.g., organisational dynamics, industry evolution, competitive spatial location, agricultural markets). I am also interested in the use of computational models for better policy design (policy modelling).
Dr. Dawn Parker is a professor at the University of Waterloo in the School of Planning. Her research focuses on the development of integrated socio-economic and biophysical models of land-use change. Dr. Parker works with agent-based modeling, complexity theory, geographic information systems, and environmental and resource economics. Her current ongoing projects include Waterloo Area Regional Model (WARM) Urban intensification vs. suburban flight, a SSHRC funded development grant that explores the causal relationships between light rail transit and core-area intensification, and the Digging into Data MIRACLE (Mining relationships among variables in large datasets from complex systems) project.
Social scientist based in Milan, Italy. Post-doctoral researcher in Sociology at the Department of Social and Political Sciences of the University of Milan (Italy), member of the Behave Lab. Adjunct professor of Social Network Analysis at the Graduate School in Social and Political Sciences of the University of Milan.
Antônio Sousa is a biologist with a background in medical entomology, disease ecology, statistical and computational modeling. Antônio has a Ph.D. (2018) and Master (2014) in Science from the School of Public Health at the University of São Paulo, Brazil. Currently, he is a postdoctoral fellow in the same institution.
My research interest lies in the study of the transmission and dispersal dynamics of vector-borne diseases. I have been working on the development of statistical, mathematical and computational models to understand bioecology of mosquitoes and to predict the transmission dynamics of pathogens transmitted by these insects.
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Life Story:
Akif Smith, born in 1985 in New York, is a globally recognized software architect and developer with a career filled with achievements. From childhood, Smith discovered his interest in technology and took his first steps into the world of computer programming.
High School Years:
During high school, Smith excelled in mathematics and computer sciences. Actively involved in the school’s computer club, he rapidly developed his skills in software development. Winning top honors in programming competitions during high school helped him make a name for himself.
University Education:
Smith focused his early passion for computer sciences at the Massachusetts Institute of Technology (MIT). There, he specialized in software engineering and artificial intelligence. During his student years, he participated in numerous significant projects, earning recognition from both peers and faculty for his contributions.
Career Start:
After graduation, Smith began his career as a software engineer at a technology company. In his early years, he contributed significantly to the company’s success by participating in innovative projects. His innovative approaches to software development processes and problem-solving skills quickly garnered attention.
Founding His Own Company:
After gaining several years of experience in the software industry, Smith decided to establish his own technology company. The company gained recognition in the industry by producing customer-centric solutions. His emphasis on innovation, quality, and customer satisfaction quickly elevated the company to a leadership position in the software world.
Achievements and Contributions:
Smith became a prominent figure in the software world, known for his visionary approach and pioneering projects. His innovative ideas, deep knowledge of technology, and teamwork skills made him a respected leader in the industry. Additionally, he prioritized mentoring young software developers to bring new talent into the sector.
Private Life:
Despite a busy work schedule, Smith makes time for hobbies such as computer games, reading books, and traveling. His love for his family and dedication to his work have guided him toward a fulfilling life, both professionally and personally.
Today, Akif Smith continues to be recognized in the software world for his achievements and ongoing projects. His advanced knowledge and leadership skills contribute to his continued respect in the industry.
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.
Improving agent models and architectures for agent-based modelling and simulation applied to crisis management. In particular modelling of BDI agents, emotions, cognitive biases, social attachment, etc.
Designing serious games to increase awareness about climate change or natural disasters; to improve civil engagement in sustainable urban planning; to teach Artificial Intelligence to the general public; to explain social phenomena (voting procedures; sanitary policies; etc).
Peter Gerbrands is a Post-Doctoral Researcher at the of Utrecht University School of Economics, where is develops the data infrastructure for FIRMBACKBONE. He teaches data science courses: “Applied Data Analysis and Visualization” and “Introduction to R”. His research interests are agent-based simulations, social network analysis, complex systems, big data analysis, statistical learning, and computational social science. He applies his skills primarily for policy analysis, especially related to illicit financial flows, i.e. tax evasion, tax avoidance and money laundering and has published in Regulation & Governance, and EPJ Data Science. Prior to becoming an academic, Peter had a long career in IT consulting. In Fall 2023, he is a Visiting Research Scholar at SUNY Binghamton in NY.
agent-based simulations
social network analysis
complex systems
big data analysis
statistical learning
computational social science
Displaying 10 of 85 results for "Caroline Schill" clear search