We help policymakers and regulators make informed decisions. We provide thorough analyses of costs, benefits, and trade-offs that take into account the full complexity of economic systems. Our insights and recommendations guide advancements in policy and regulatory practices.

We develop advanced, large-scale, and data-driven agent-based models that are grounded in empirical data. They capture economic dynamics in their full non-linearity, and are capable of ingesting useful data of any type and of generating predictions at a very fine level of detail.

We have developed models that significantly outperform existing solutions to forecast clean energy technology and their deployments. Our forecasts can be coupled with our financial and economic models to understand the impact of the energy transition.

Because our models are detailed and data-driven, they are uniquely positioned to understand the implications of climate change and natural disasters on the economy. Our models can provide early-warning indicators and metrics to help make the economy more resilient with regard to climate change.

Our approach enables the testing and generation of a wide range of economic scenarios and predictions. We always confront our predictions with data, and all of our models undergo rigorous backtesting.