The 2021 EU Conference on “modelling for policy support”, organized by the European Commission Competence Centre on Modelling, takes place during the week of 22 to 26 November 2021. Antoni Oliva Quesada and I will present a (very) short case-study of the work being done in the POLIRURAL project on the application of System Dynamic Modelling (SDM) in regional Foresight processes. So, this is good time to briefly outline the history of SDM, what it is good for, its major successes so far, and how we are trying to extend its use as a tool to support learning and decision making in participative governance process such as regional Foresight.
Very briefly, SDM has its origins in the work of Jay Forrester, a computer scientist and systems engineer at MIT, who not only invented key computer technologies such magnetic core memory but pioneered the domain of SDM. In 1961 he published seminal work on “Industrial Dynamics.” This was followed by a major publication on “Urban Dynamics” in 1969 and in 1972 by “World Dynamics,” arguably the first serious attempt to model how social, economic, and environmental factors interact with each other and the natural world, evolving over time to drive population growth, resource consumption, and prosperity at the level of the entire planet. One of the most important lessons from his work was a demonstration that our usual “models” of how the world works, fail to capture important aspects of world dynamics, complex non-linear behaviors, which if left unchecked, could lead to the collapse of entire earth systems and an end to ever increasing growth and prosperity.
While all of this was going on, the Club of Rome commissioning a study by a team at MIT, as an input to its “Project on the predicament of mankind.” The team, led by Denis Meadows, included experts from the US, India, Germany, Norway, Turkey, and Iran, with expertise in domains such as population, pollution, agriculture, natural resources, and capital. This work relied heavily on the use of SDM, and a summary of its findings for the layman was published as “Limits to Growth” in 1972. Its main finding, supported by the use of SDM, was that “even under the most optimistic assumptions about advances in technology, the world cannot support present rates of economic and population growth for more than a few decades from now.” The use of SDM showed that only “a concerted attack on all the major problems at once can man achieve the state of equilibrium necessary for his survival.” At that time, this statement came as a shock to mainstream thinkers in economics and economic development, yet it was highly influential in helping to establish on the basis of the best science available, the basic ideas about what is required for “sustainability” and establishing “sustainability” as the state to which all who work in economic and social development need to aspire. It will come as no surprise that the report was seen as controversial and even bitterly opposed by vested interests. Nevertheless, and despite various shortcomings of the SDM approach and the modelling technology available at the time, follow-up reports showed that it was in fact very accurate in its ultimate insight that “human beings and the natural world are on a collision course”.
The first SDM was created two decades before the internet was invented. “Limits to Growth” was published half a decade before the age of personal computing started, in 1977 with the creation of the Apple II, the TRS-80 and the Commodore PET. We have come a long way since then in terms of a tremendous increase in the power of computing, the availability of data, and ease of access to sophisticated tools and communication platforms. So, it is time to make SDM tools and the explanatory power of the SDM approach ore widely available to those involved in policy development processes, ultimately concerned citizens and stakeholders involved in regional development processes. This is precisely what Antoni, and our colleagues are doing, by conducting experiments related to the use of SDM in the 12 regional Foresight pilots of the POLIRURAL project.