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Prepare for different economic futures

Using our simulation engine, you can prepare your company for possible futures. You describe a possible future in natural language. This scenario is then translated into programming code and parameters that feed into a simulation. The simulation, comprising millions of virtual firms and people, models the effect of the scenario and returns statistics and an analysis.

After that, you test your options: How do you prepare? How do you react? What are the effects of your reaction?

Shape different economic futures

When Covid hit, countries were ill-prepared. Prepare for future events before they happen: describe the scenarios in natural language. Each scenario is then translated into programming code and parameters that feed into a simulation. The simulation, comprising millions of virtual firms and people, models the effect of the scenario and returns statistics and an analysis.

After that, you test your options: How do you prepare? How do you react? The simulation will show you in words, graphs and numbers what will happen.

Try the fiscal simulator or

Public spending must be efficient, effective, and equitable. This simulation models the public finance flows for the Federal State of Brazil, the 26+1 Brazilian states, the 5,570 municipalities down to 10,000 school districts. It can replicate the Brazilian education public finances and simulate any scenario from small regulatory changes to complete redesigns of the system, like centralizing redistribution on the federal level or decentralizing it completely.

Institute for New Economic Thinking

Built macroeconomic simulations showing how CGE-climate models are dangerously wrong — they neglect short-run economic impacts and short-run emissions. Further, built a balance-sheet framework for systemic risk in insurance and financial markets: abcFinance

Laboratório De Sistemas Inteligentes and Center for Metropolitan Studies

Modeled how education finances flow through Brazil’s entire public system — federal government, 26 states, 5,600 municipalities — to show policymakers which reforms actually improve efficiency and equity, before they’re implemented.

Center for Complex Engineering Systems

Led an 8-person team that built a model of the Saudi Arabian labour market. Beyond generating new policy options, the model served as a communication tool — helping ministries with divergent goals find common ground.

PhD Program in Economics of Complexity and Innovation

I wrote my PhD thesis on

• Using Artificial Intelligence to model firms and economies. paper
• How technological innovation can lead to recessions before they create growth: paper
• A modeling language to build agent-based whole-of-economy simulations: abcEconomics

I support decision making of firms with scientific and data-based economic simulations. In the simulations, decision makers can experiment with different scenario and responses. This way they find data-based strategies, without wading through numbers and Excel sheets.

I advise governments and firms on public policy and build models of economic forecasting, labour markets, public finance, and industrial strategy.

At IA we provide model-based end-to-end country impact analysis for projects, initiatives, and startups that look for venture capital in Saudi Arabia and the UAE.

United Nations

Proposed socio-economic simulators as a policymaking tool.

Consultant

Consulting at the world’s biggest petrochemical market information provider, with a team of domain specialists, I built an agent-based model of the petrochemical market and supply chain, modeling the chemical process of all plants around the globe and actual transport routes and prices.

Whiteshield Dubai

Founding manager of the Data-Science and Modeling Practice. Transforming data into actionable insights for governments and decision makers.

Using Policy Simulators for Evidence-Based Policy Making.

The co-creation of policy models with scientists and policy makers using web-based simulators.

Decision support systems to facilitate communication between policy makers and scientists: the case of Saudi Arabia's labour-market support system.