Founding the Frederick S. Pardee Center for International Futures
Founded by Barry Hughes with the support of Fred Pardee, the Pardee Center for International Futures continues developing its flagship tool, the International Futures modeling system.
Barry Hughes has contributed to the global modeling field since its beginning in the 1970s.
Barry Hughes began developing the International Futures (IFs) modeling system over 45 years ago as a faculty member at Case Western Reserve University. Since 1980 he has continued its development at the University of Denver’s Josef Korbel School of International Studies.
Initially, Barry developed IFs as an educational tool focused on sustainability and human well-being. Over time, it became the robust, policy-oriented modeling system it is today.
A meeting with Frederick Pardee in the early 2000s led to a relationship that enabled Barry to develop a team dedicated to the extension and enhancement of the IFs system. In 2007, with the generous support of Frederick Pardee, this led to the establishment of a home for the ongoing development of the IFs system: the Frederick S. Pardee Center for International Futures at the Josef Korbel School. In 2009, the Center found a home in the Ben Cherrington Hall wing of the Josef Korbel School of International Studies.
History of IFs
IFs, the flagship tool of the Pardee Center, is an open-source, integrated global modeling system that is continuously updated and maintained. In 1980, Barry Hughes developed the first generation of the IFs modeling system. Since then, the team at the Pardee Center has overseen seven generations of IFs development.
Generation 1: 1980
Written in FORTRAN & available for use on mainframe computers through the University of Iowa's CONDUIT system, this first generation of IFs was primarily an education tool used by students. However, it was also used by the U.S. Foreign Service Institute for a mid-career training program.
Generation 2: 1985
The second generation of IFs moved to early microcomputers in 1985, using the DOS platform. It was a simplified version of the original IFs system without regional or country differentiation.
Generation 3: 1993
The third generation became a full-scale microcomputer modeling system and improved on earlier representations of demographic, energy, and food systems, along with new environmental and socio-political content. During this generation, there were three major editions of IFs, each accompanied by a book also called International Futures (Hughes 1993, 1996, 1999). The second of these editions moved to a Visual Basic platform that allowed a much-improved menu-driven interface running under Windows. The third edition incorporated an early global mapping capability and an initial ability to do cross-sectional and longitudinal data analysis.
Generation 4: 2000s
The fourth generation took shape during the early 2000s. It was heavily influenced by the usage of the modeling system for policy analysis, including its uses in the TERRA project and work on the Global Trends reports. This generation had a heavy emphasis on enhanced usability, including the creation of a new tree structure and guided use mode for scenario creation and management.
Generation 5: 2004–2009
The fifth generation of IFs (from 2004-2009) had three major thrusts:
- The continued enhancement of the model itself, including clearer and more extensive representations of the agent classes and their points of leverage, stemming from the desire to make the modeling system a more valuable scenario-testing and policy analysis tool. The further elaboration of the social accounting matrix, structure, the development of education and health sub-models, and the substantial redesign of an economic production function with endogenous multifactor productivity were among several outcomes of this thrust.
- The project continued to enhance the model’s interface and usability. Efforts included the addition of a number of specialized displays, such as those for seeing the social accounting matrices, to display progress towards the Millennium Development Goals, to explore poverty at different income levels, and to represent the educational attainment of population cohorts. Mapping and data analysis tools were also strengthened. The ability to drill down into select countries to explore futures at the state or province-level was also added.
- The third thrust was the further institutionalization of the IFs system via (a) increased accessibility, transparency, and openness and (b) broader and deeper connections with other modelers and model users. The first step in greatly increasing IFs accessibility was the sponsorship of the web-based version of the model by the National Intelligence Council in its Project 2020 (NIC 2004). Enhanced transparency came from adding the ability for users to access the flow charts, equations, and code underlying the model.
Generation 6: 2010–2013
The sixth generation of IFs revolved around the development of the Patterns of Potential Human Progress (PPHP) series. The PPHP volumes, with their focus on major human development systems, spurred the further enhancement of the model’s major subsystems, especially population, economic (especially poverty representation), education, health, infrastructure, and governance. The supporting documentation required for the PPHP series also gave rise to efforts to create the most detailed documentation of the model to date.
Generation 7: Current Generation
The seventh generation is the current one, officially beginning in 2014. Today, with the PPHP series published, new projects are spurring the addition of even more capabilities to the IFs modeling system, including wider support for provincial and state breakdowns, new means of forecasting diplomatic and power interactions, and enhanced representations in many of the IFs modules. Central to the center's efforts, however, are continuous improvements in the existing elements of the model and their usability. The sixth generation greatly strengthened the web-based version and it will increasingly become central to our work in the current generation.