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.
Forced migration is a major issue around the globe. In this case study, researchers from US universities developed a system dynamics simulation model to better understand and forecast the migration of people in response to crises. They discovered a new way to predict refugee flows by incorporating data from open sources and social media.
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.
European Institute for Energy Research (EIFER) is an organization that deals with the decentralization of energy systems on various territories, and promotes renewable energy sources. Localized energy systems, unlike classical ones, do not need to transmit electricity over long distances, as they are located close to the load they serve. Being less hierarchical, they provide the prospects of power storage, renewable energy inclusions, and demand forecasting. EIFER engineers chose AnyLogic simulation modeling to find out how the localized systems should be planned and operated.
Behavioral economics is a method of combining components of economics and psychology to understand human behavior. Researchers at Astellas Pharma, using AnyLogic simulation software, applied this new method of analysis to understand how team size and task variation affected trust and productivity.
During COVID-19, there was a lot of misinformation that spread both offline and online. For the Norwegian government, it was important to understand where this misinformation came from and how to reduce it especially on social networks, such as Twitter.
Increasing energy costs in combination with fears about global warming are two problems that building owners and managers face. Noorjax Consulting created a predictive model to influence and change the behavior of individuals in a building in order to conserve energy and reduce costs.
A multinational US-based automaker was considering altering the company’s strategy and business model in the face of changing realities. A resilience and innovation gap can grow into an existential risk. Statistics show that companies are six times more likely to go bankrupt today than 40 years ago. Today, the car ownership model is gradually being replaced by a model where a vehicle is a service. In view of this, the automotive company declared itself not a manufacturer anymore, but a mobility company.
The challenge of reducing the cesarean delivery rate has been recognized by numerous researchers for years. For the first time, in research conducted for the Washington State, Alan Mills, FSA MAAA ND, a research actuary, and his colleagues reproduced this part of the United States healthcare system in a simulation model to allow the stakeholders, including health agencies, insurers, clinicians, and legislators, to test their assumptions on the model to find the right solutions.
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.