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Use International Futures (IFs)

International Futures (IFs) is Pardee’s open-source, integrated forecasting platform for scenario-based analysis across human, social, and natural systems.
IFs gives users a shared language and analytic foundation for evaluating how possible outcomes from today’s choices and directions may ripple across systems and shape future risks, trade-offs, and opportunities. 

It helps users compare plausible futures under different assumptions, using historical data, transparent model structure, and connected systems analysis.

Use this page to see how IFs can support analysis, learn about the data and model structure behind its scope and scale, and find resources for getting started. 

What IFs does

IFs helps users ask structured questions about long-term change.
The platform connects data and model relationships across major global systems, allowing users to examine how changes in one area may affect outcomes in another. A user can compare scenarios involving education, demographic change, economic growth, governance, energy, agriculture, climate, infrastructure, health, conflict, trade, migration, aid, and international relations.

IFs is especially useful when users want to:
Use scenarios to examine how different assumptions may change outcomes over time. Scenarios can help users compare policy choices, structural risks, resource constraints, and long-term development pathways.
Explore how changes in one system may affect another. For example, education may shape labor productivity, fertility, income, health, and poverty outcomes over several decades.
Use IFs to support academic research, classroom learning, policy analysis, strategic planning, and applied scenario development. Results should be interpreted as conditional pathways, not predictions.

See how systems connect in IFs

IFs architecture overview

5,000+
Historical data series
2150
Scenario horizon
800+
Macro-level variables
188
Countries
11
Dynamically connected submodules
Human | Social | Natural
Systems coverage
IFs connects data, geography, systems, and time so users can examine how change in one area may shape outcomes across others.

Its historical data help ground projected pathways in observed patterns. Its country-level structure allows users to compare individual countries or aggregate results to regional and global scales. Its dynamically connected submodules add depth across issue areas while keeping those systems linked within one platform.

Together, these features support scenario-based analysis across human, social, and natural systems. With a scenario horizon to 2150, IFs also allows users to examine issues whose full effects may unfold beyond 2100, including climate, demographic change, infrastructure, resource demand, and long-term human development.

Access IFs guided instruction

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