In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. In ensuing decades, ...

The Nobel Memorial Prize in Economic Science was awarded today to two scholars who revolutionized the technique of statistically modeling national economies, stock markets, and other complex systems ...

Financial institutions are increasingly using economic capital models to help determine the amount of capital they need to absorb unexpected losses. These models typically aggregate capital based on ...

Understanding where AI agents make financial sense today is the difference between a sustainable competitive advantage and ...

Decentralized finance (DeFi) has emerged as the flagship concept and use case for blockchain technology and cryptocurrency. DeFi is the use of smart contracts and other decentralized technologies to ...

Agent-based modelling (ABM) has emerged as a pivotal tool in macroeconomics and economic policy analysis. By simulating the interactions of numerous heterogeneous agents — such as households, firms, ...

Johns Hopkins-led effort offers powerful new tool to aid health policy by integrating personal decision-making into disease prediction model ...

Using a microsimulation approach, this study modeled the potential multiyear health and economic benefits of participating in cardiometabolic virtual-first care programs. Objectives: This study ...

The traditional economic model of quality of conformance graph, proposed by J. M. Juran in 1962, demonstrates how the cost of producing your product drops when a quality assurance program begins, only ...

Behavioral economics combines elements of economics and psychology to understand how and why people behave the way they do in the real world. It differs from neoclassical economics, which assumes that ...