Social Process and Marketing Simulation

Social dynamicsEach year millions of dollars are spent on studying the vastly complicated nature of the interactions of people in society. From corporations charting their popularity among key demographics, to governments attempting to meet the changing societal needs of their citizens, the answers to these challenging questions do not come easy. And let’s not forget all the marketing studies created for every new product and service announcement. Despite their ubiquity corporate strategies, not to mention the corporations themselves, live or die based on their accuracy.

Analysis methods like focus groups and targeted studies provide one method of putting some order to the seeming chaos; albeit limited and constrained. The work in finding a focus group that speaks for the population it is meant to represent is time consuming, and large scale studies are costly. Often, the results obtained lead to solutions that lag the dynamically-changing issue they are meant to address. How does one produce timely insights into topics cost-effectively and in a reasonable amount of time? AnyLogic based simulation modeling offers decision makers a level of unparalleled freedom to explore the interactions that drive the most interesting challenges faced by society today. Utilize a synthetic population of simulated agents to forecast the urbanization of an area. Study the effectiveness of an advertising campaign for a new product using existing customer data in weeks instead of months. Let AnyLogic help you tackle the questions you want to answer, and get the results you need.

For different social process models please refer to the models gallery.

Case Studies

  • Utilizing Real-World Data and Multimethod Modeling to Battle Food Insecurity
    Issues such as whether households get enough food, how it is distributed within the household and whether that food fulfils the nutrition needs of all members of the household is an ongoing problem in developing countries. An International Civil Agency employed a Major Consulting Firm to analyze food insecurity in developing countries and cultivate a system that enables an economy to prepare for and halt possible food insecurity.
  • An Agent-Based Explanation for SPMI Living Situation Changes
    Over the past 60 years, the number of Severely and Persistently Mentally Ill (SPMI) patients in the US living in the community increased. Yet a growing minority of people with severe illness are worse off because they are homeless or incarcerated. In this case study, IBM Global Research and Otsuka Pharmaceuticals used an agent-based approach to model these remarkable swings.
  • Simulating Bicycle Sharing System with the Help of AnyLogic System Dynamic Modeling
    Sustainable bicycle transportation systems have generated broad expectations and have recently attracted focus in the scope of urban planning by alleviating traffic congestion and reducing noise and air pollution. Such bike sharing systems are easy-to-use and generally promoted by the public administration, operating by advertisement companies, transportation operators and, and public organizations.
  • AnyLogic Simulates Future Development of Russia
    Moscow State University supercomputer “Lomonosov” predicted social and economic development of Russia for the next 50 years. The evaluation was based on a model created in AnyLogic and data taken from Russian official sources.
  • Forecasting the Human Resources Demand in the Russian Economy
    IBS Group, the leading software developer in Central and Eastern Europe, was approached by the Ministry of Education and Science of Russia to conduct the project, “Development of an Analytical System for Forecasting the Demand in Skilled Professionals in Russia’s Economy.” The aim of the project was to create an analytical system, which could help the Ministry plan for the subsidization of higher education from the federal budget.