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Methods built for hard decisions.
Economic modelling, econometrics, supply-chain analysis, data science, visualization and policy strategy.
Economic modelling, econometrics, supply-chain analysis, data science, visualization and policy strategy.
We build Computable General Equilibrium models that trace how a single policy decision, a tariff, a subsidy, a trade agreement, ripples through every sector of an economy.
We map global value chains end to end, stress-test them against disruption, and work out the real trade-offs between cost, resilience and emissions.
Machine learning grounded in economic theory: forecasting, causal inference and automation pipelines that turn messy institutional data into decisions.
We assess how disruptive technologies reshape markets and mandates, so governments and enterprises know what's coming before it arrives.
We use macroeconomic, sectoral and disaggregated data to explain trends, test relationships and quantify policy effects.
We convert complex data and model outputs into tools that senior decision makers can use quickly, including dashboards and GenAI-enabled visual analytics.
ISM combines econometrics, CGE modeling, data science, machine learning, disaggregated sectoral and commodity analytics, and practical policy experience to build customized model products and tools.
The research approach adapts models to global, regional and local questions rather than forcing every decision into the same template.
We move from raw evidence to usable policy recommendations through a connected five-step process.
Assemble the evidence needed for the question.
Structure, clean and connect the inputs.
Apply economic models, econometrics and data science.
Turn model outputs into clear decision tools.
Translate evidence into practical options.
The same analytical base can be adapted to different levels of detail and different policy questions.
Customized approaches can work at HS8 level across roughly 10,000 commodities, or at province, emirate, state, county and city level.
Models can capture fiscal deficits, budgets, money supply, interest rates, exchange rates and broader macroeconomic relationships.
Trade and industrial questions can be studied with machine learning, optimization and traditional econometric methods, including antidumping analysis.
Advanced forecasting and visual tools make scenario analysis and complex evidence easier for ministers, CEOs and policy teams to use.
CGE, econometric and financial models developed for specific policy and business questions.
Purpose-built datasets that support CGE modelling, econometric studies and ongoing analysis.
Economic forecasts and thematic investment analysis that help organizations plan for different scenarios.
CGE modelling courses, plus consulting and training in data science, AI, business analytics and other disruptive technologies.
Tell us the decision. We will recommend the right approach.