Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...

The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...

Synthetic control methods offer a principled framework for estimating the causal effects of policy interventions when randomised experiments are infeasible. By constructing a weighted combination of ...

The Ohio biotechnology firm Optimvia Pharmaceuticals says it has developed a cost-effective synthetic method to produce large quantities of heparin, which is used to make a common blood thinner. And ...