JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION
Scope & Guideline
Pioneering Research at the Intersection of Society and Technology
Introduction
Aims and Scopes
- Agent-Based Modeling (ABM):
The journal primarily emphasizes the application of agent-based modeling as a tool for simulating social interactions and behaviors. This approach allows researchers to model individual-level decisions and their aggregate effects on societal outcomes. - Social Simulation and Complexity:
A core area of focus is the simulation of complex social systems. The journal publishes studies that address how social dynamics emerge from individual interactions, including phenomena such as opinion dynamics, cultural change, and social norms. - Interdisciplinary Research:
JASSS encourages interdisciplinary approaches, integrating insights from sociology, economics, political science, and computer science. This broad perspective fosters innovative methodologies and theoretical frameworks for understanding social systems. - Policy Simulation and Evaluation:
The journal also highlights contributions that utilize simulations to evaluate policy interventions and their impacts on social behaviors. This includes modeling scenarios for crisis management, public health responses, and environmental policies. - Ethics and Methodological Reflections:
In addition to empirical studies, JASSS publishes theoretical discussions and critiques regarding the ethical implications of social simulations, as well as reflections on methodological advancements in the field.
Trending and Emerging
- COVID-19 and Public Health Modeling:
The ongoing relevance of the COVID-19 pandemic has led to a surge in publications focusing on public health modeling. Research in this area often utilizes agent-based models to simulate disease transmission dynamics and the effectiveness of policy interventions. - Opinion Dynamics and Polarization:
There is a growing interest in studying opinion dynamics, particularly in the context of social media and political polarization. This theme explores how individual opinions evolve and influence collective behaviors within societies. - Resilience and Adaptation in Social Systems:
Recent studies have increasingly focused on the resilience of social systems to external shocks, such as economic crises or environmental changes. This emerging theme examines how societies adapt and recover from disruptions through agent-based simulations. - Ethical Considerations in Simulation Research:
An increasing number of articles are addressing the ethical implications of agent-based modeling, particularly concerning data privacy, representation, and the potential societal impacts of simulation outcomes. - Interdisciplinary Approaches to Social Issues:
Research that integrates methodologies and theories from multiple disciplines is on the rise. This trend reflects a broader recognition of the complexity of social issues and the need for combined expertise to tackle them effectively.
Declining or Waning
- Traditional Statistical Models:
There has been a noticeable reduction in the publication of works relying solely on traditional statistical models. As agent-based modeling and simulation techniques gain traction, researchers are less likely to focus on classical statistical methods. - Single-Dimensional Models:
Research that employs overly simplified, single-dimensional models of social phenomena appears to be fading. The complexity of social systems requires more nuanced approaches, and studies that do not accommodate this complexity are becoming less prevalent. - Focus on Isolated Variables:
There is a declining trend in studies that examine isolated variables without considering the interplay of multiple factors. The journal increasingly emphasizes the importance of dynamic interactions and systems thinking in social simulation. - Descriptive Studies Without Simulation:
Descriptive studies that do not incorporate simulation methodologies are becoming less common. The field is shifting towards more integrative approaches that utilize simulations to derive insights rather than merely describing phenomena.
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