Tipping points and phase transitions are important issues in physical and socio-economic and ecological phenomena. Considering the complex interactions between various systems, it is imaginable that a variety of relative stable states (attractors) exists in a multidimensional (interdisciplinary) space. When changes occur on one (or multiple) dimension(s), this may result in cascading effects that can push and pull a system towards a different stable state. Because different states may have different qualities, it is important to identify the risks of approaching a tipping point towards a lower system quality, and explore how tipping points towards a higher quality can be stimulated. Especially in current times, where large information flows take place on the internet, and algorithms have a strong impact on human perceptions, opinions and behaviors, the dynamics can be turbulent. When considering the information society, the phenomenon of accelerated information propagation on SNS etc. is strongly related to the discovery of tipping points in social networks. When considering the economic society, it should be noted that the analysis of tipping points such as rapid fluctuations in financial markets does not occur due to a single factor, but occurs in a complex interaction. Also, in our society that has been severely damaged by the new corona infection, an urgent issue is to elucidate the mechanism by which the rapid spread or decrease of infection as a tipping point occurs , and build a model for predicting them.
Increasingly the social sciences make progress with simulating societal dynamics, especially with using agent-based models. Such model studies are capable of simulating tipping points, where a system shifts from one relative stable state to another one through a phase that is highly dynamic and turbulent. A physics approach towards studying these processes of change is expected to (1) support the identification of early signs indicating a social system is approaching a tipping point, (2) may help identifying multiple stable states of a social system, and (3) may identify strategies to support processes of system change towards a higher quality state.
The tipping points are the starting stages for elucidating various phenomena such as social systems, economic systems, ecosystems, and climate change. Increased volatility and autocorrelation appear to be indicators of these systems approaching a turning point.
The modern society in which we live is now at the tipping point. Climate change requires a shift in the energy of our society, and the COVID-19 pandemic visualizes the problem of social inequality and calls for a shift in traditional social structures, including economic and medical systems.
This Research Topic focuses on data analysis, modeling and theoretical efforts targeting various systems such as society, economy, management, climate, biology and nature, with tipping points as the main topic. We also encourage contributions on a technical basis of social simulation, social network analysis, computational social science, cutting-edge machine learning, and so on.
The topics include but not limited to:
- Data Analysis and Social Simulation
- Empirical Analysis on Managerial Decision Making
- Computational social science, economics, and finance
- Agent-Based Sociology, Policy Making, Economics and Finance
- Serious Game and Business Game
- Gaming Simulation on Social and Business Problems
- Knowledge Management
- Collective Intelligence and Human Computation on Social Problems
- Participatory Design and Simulation on Social Problems
- Discrete Choice Models in Sociology, Environment, Economics and Management Sciences
- Emergence and Dynamics of Norms and Conventions
- Financial Market models and Auction
- Dynamics of Complex, Social and Economic Networks
- Complexity and Market Dynamics
- Health and Infectious Diseases
- Power Market and Consumer Market Analysis
- Disaster Management
Tipping points and phase transitions are important issues in physical and socio-economic and ecological phenomena. Considering the complex interactions between various systems, it is imaginable that a variety of relative stable states (attractors) exists in a multidimensional (interdisciplinary) space. When changes occur on one (or multiple) dimension(s), this may result in cascading effects that can push and pull a system towards a different stable state. Because different states may have different qualities, it is important to identify the risks of approaching a tipping point towards a lower system quality, and explore how tipping points towards a higher quality can be stimulated. Especially in current times, where large information flows take place on the internet, and algorithms have a strong impact on human perceptions, opinions and behaviors, the dynamics can be turbulent. When considering the information society, the phenomenon of accelerated information propagation on SNS etc. is strongly related to the discovery of tipping points in social networks. When considering the economic society, it should be noted that the analysis of tipping points such as rapid fluctuations in financial markets does not occur due to a single factor, but occurs in a complex interaction. Also, in our society that has been severely damaged by the new corona infection, an urgent issue is to elucidate the mechanism by which the rapid spread or decrease of infection as a tipping point occurs , and build a model for predicting them.
Increasingly the social sciences make progress with simulating societal dynamics, especially with using agent-based models. Such model studies are capable of simulating tipping points, where a system shifts from one relative stable state to another one through a phase that is highly dynamic and turbulent. A physics approach towards studying these processes of change is expected to (1) support the identification of early signs indicating a social system is approaching a tipping point, (2) may help identifying multiple stable states of a social system, and (3) may identify strategies to support processes of system change towards a higher quality state.
The tipping points are the starting stages for elucidating various phenomena such as social systems, economic systems, ecosystems, and climate change. Increased volatility and autocorrelation appear to be indicators of these systems approaching a turning point.
The modern society in which we live is now at the tipping point. Climate change requires a shift in the energy of our society, and the COVID-19 pandemic visualizes the problem of social inequality and calls for a shift in traditional social structures, including economic and medical systems.
This Research Topic focuses on data analysis, modeling and theoretical efforts targeting various systems such as society, economy, management, climate, biology and nature, with tipping points as the main topic. We also encourage contributions on a technical basis of social simulation, social network analysis, computational social science, cutting-edge machine learning, and so on.
The topics include but not limited to:
- Data Analysis and Social Simulation
- Empirical Analysis on Managerial Decision Making
- Computational social science, economics, and finance
- Agent-Based Sociology, Policy Making, Economics and Finance
- Serious Game and Business Game
- Gaming Simulation on Social and Business Problems
- Knowledge Management
- Collective Intelligence and Human Computation on Social Problems
- Participatory Design and Simulation on Social Problems
- Discrete Choice Models in Sociology, Environment, Economics and Management Sciences
- Emergence and Dynamics of Norms and Conventions
- Financial Market models and Auction
- Dynamics of Complex, Social and Economic Networks
- Complexity and Market Dynamics
- Health and Infectious Diseases
- Power Market and Consumer Market Analysis
- Disaster Management
