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Frederick S. Pardee
Institute for International Futures
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How can integrated analysis clarify the choices that shape long-term development?

Climate change affects migration and food systems. Governance shapes economic opportunity and human development. Energy transitions create both environmental gains and new social and political pressures. Questions of sustainable and international development cannot be understood in isolation.
At Pardee, we use integrated, long-term analysis to study how these systems interact over time. Using the International Futures (IFs) modeling platform, we explore how demographic, economic, environmental, governance, and technological changes may shape outcomes across countries and regions. Through scenario-based analysis, we help researchers, governments, international organizations, and others needing to reason over long time horizons examine trade-offs, test assumptions, and better understand the long-term consequences of policy choices.

Use IFs

We examine how human, social, and natural systems interact over time and across countries and regions.

Academic rigor, policy relevance

Pardee’s development analysis supports both research and decision-making. Our work draws on transparent methods, empirical evidence, reproducible tools, and careful treatment of uncertainty so that findings can be examined, adapted, and applied across academic and policy settings.

International Futures (IFs) gives this work a shared analytic foundation. The open-source platform connects historical data, model structure, and scenario assumptions across human, social, economic, and environmental systems. That integrated structure allows researchers to study relationships across sectors and time, while helping policy partners test how different assumptions about development strategy, climate risk, energy transitions, poverty reduction, or planning horizons may affect future pathways.

The relationship between research and policy runs in both directions. Questions from partners can point to gaps in evidence, methods, or data; academic work can refine the tools and assumptions used in applied analysis. Over time, that exchange produces peer-reviewed publications, methodological advances, and public datasets that others can examine, critique, and use. 

Examples of this intersecting work include:

Policy applications

We apply integrated, scenario-based analysis to complex policy questions across national, regional, and global contexts. Through collaborations with governments, intergovernmental organizations, NGOs, and the private sector, we connect quantitative tools and long-term research to practical planning challenges while also contributing to improvements in data, methods, and analytical frameworks.

Our role varies by project. In some cases, we support national planning processes. In others, we contribute to global assessments, regional strategy initiatives, or focused analysis related to, for example, climate, energy transitions, gender equality, green growth, or human development. Across these engagements, the purpose is to explore how structural conditions, policy choices, and cross-sector dynamics may shape long-term social, economic, and environmental trajectories.

How we collaborate

Pardee collaborates with researchers, governments, multilateral organizations, and practitioners working to understand long-term development under uncertainty. At the outset, we often begin with a shared question: how might choices, assumptions, or structural trends shape development outcomes across sectors, countries, and time horizons?

Depending on the project, this work may include scenario design, integrated analysis, data and methodological development, workshops and model training, and strategic interpretation.

With most engagements, we work with our partners to:

Test 
assumptions

Examine how different assumptions about policy, behavior, resources, or structural change may affect development outcomes over time.

Compare plausible pathways

Use scenarios to study how alternative futures could unfold under different economic, demographic, environmental, or governance conditions.

Identify cross-sector trade-offs

Analyze where change in one area may support, constrain, or redirect outcomes in another.


Support research, strategy, and planning

Inform academic studies, national plans, regional strategies, global assessments, and issue-specific analysis.

Build shared understanding

Use data, models, and workshops to create a common evidence base for decision-makers, researchers, and practitioners.

What we study and how we work

Sustainable development is shaped by connected systems. Pardee studies those connections across agriculture, demographics, economics, education, energy, environment, governance, health, human development, infrastructure, and international relations.

Our work focuses on questions where decisions or structural changes in one area can affect outcomes in another. A climate shock may influence food systems, household income, and migration. Infrastructure investment may shape access to markets, public services, and employment. Governance capacity can affect how countries respond to demographic, economic, or environmental pressure.

We use International Futures to compare plausible development pathways across countries, regions, and global systems. This approach helps users examine assumptions, understand uncertainty, and study how change may unfold across sectors and over time.

Integrated systems

We examine how human, social, and natural systems interact, rather than treating development issues in isolation.

Scenario-based analysis

We compare plausible futures to test assumptions, explore uncertainty and identify trade-offs.

Multiple scales of analysis

We support analysis at country, regional and global levels, connecting local context to broader structural trends.

Powered by International Futures

Much of Pardee’s development analysis is powered by International Futures, our open-source integrated modeling platform.

IFs helps users examine how change in one domain can shape outcomes in others over time. It brings together historical data, model structure, and scenario assumptions across climate, economics, governance, energy, infrastructure, and human well-being. Its value lies not in predicting a single future, but in supporting transparent, long-term analysis of plausible pathways.

IFs includes:
5,000+ historical series
Interconnected, macro-level variables
Across human, social, and natural systems
188 countries in one year time steps
From 2022 through 2100 and beyond

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