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Dr. John Shilling from the Millennium Institute explores the importance of simulation models, specifically the Threshold 21 (T21) system dynamics model, in advancing strategic decision-making for sustainable development. Emphasizing the significance of systematic approaches to understand complex interrelations – including economic, social, and environmental factors – he highlights how T21 integrates diverse data and reflects on real-world causal relations. By utilizing ICT advancements, T21 helps illuminate the long-term effects of varied policies, illustrating their cross-sectoral impacts and guiding decision-makers toward informed, sustainable solutions.
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You cannot solve the problem with the same thinking that created the problemAlbert Einstein Simulation Models, ICTs, and Decision Making Dr. John Shilling Millennium InstituteJanuary 28, 2013
Introduction • Millennium Institute is devoted to helping decision makers achieve sustainable development • Its Threshold 21 is an innovative system dynamics simulation model to help strategic decision making • I worked at the World Bank and have been involved with MI since I retired. • At the Bank, I learned the limitations of conventional models, which led me to T21
Why Models Are Useful Tools • Need to understanding complex relations in order to make decisions • Relations need to be expressed in manner that is manageable and understandable • Keep track of larger number of factors than your memory can • Provide a basis for discussing more clearly relations and processes with others involved • Generate quantitative simulations of alternative approaches and future outcomes
Basis of Modeling from Physics • Developed by translating interactions of physical objects into math equations that represent what occurs • Help determine further relations and predict results of changes in a precise manner that can be verified • Examples of gravity, airplanes, electronics • Based on inanimate objects, so highly consistent
Shift to Social Science Models • Use math approach of physics models to quantify economic and social relations • Derive relations from statistics and theories of behavior, which are not precise • Often the theoretic bases of models have ideological rather than empirical origin • Examples of market equilibrium, population growth, budget balancing, technological innovation • Based on animate objects, so relations change
Models to Simulate Economics • Political Economy and conceptual models • Introduction of quantification into Economics • Linear models and Econometrics • Linear accounting frameworks: RMSM, MTEF • Non-linear and exponential modeling • Matrix models: I-O, SAM, and CGE • Broader Systemic models: T21
Benefits of Building Model • Studies to build model reveal more about relations in areas addressed by the model • Identifies where more and better data is needed to understand relations • Provides a basis for analyzing the effects of policies through simulations • May clarify where theoretic basis isn’t valid • Need to recognize that conventional models only include a subset of all relevant relations and don’t account for changing patterns of behavior
ICT Has Enhanced Models • They can now include much more data and variables • They can gain more information about key issues from public opinion • They can generate more detailed and graphic output to illustrate results to “laymen” • They can communicate more information to decisions makers and other interested parties • They can be used by many more people, and even be the basis for games and apps
Models Help Decision Making • They can illustrate the likely results of policy changes, even over the longer term • They can show the effects policies in one sector have on other sectors if they include several sectors • They can show results in clear way, including causal effects, to help build consensus and reach better decisions • They also help avoid negative side effects • This, of course, depends on decision makers seeking better policies, not ideological rule
System Dynamic Approach • This innovation, as represented by the Threshold 21 model, is major step forward • It is based primarily on real world causal relations observed in areas being modeled • It readily integrates relations across sectors • It can incorporate any quantifiable variable, including those beyond the economy • It takes account of lags in the effects of policies and investments and generates long term scenarios graphically
We Face Serious Challenges • Economies and societies depend on energy, water, and natural resources – the foundation of development • Economies depend on social structures, workforce skill, innovation, and governance • Reducing poverty requires social and environmental services as well economic growth • Economic, Environmental, and Social factors all interact, • Climate change results from economic and social activities and raises hurdles for sustainability • These links need to be taken into account in model simulations to assure sustainable growth and social stability
Why Use T21 S-D Approach • Market models not take account of public goods, the commons, and externalities • Human welfare is not based on economic production alone, but also social and environmental factors • Long term and cross sector relations are important • Equity and balance across gender, ethnic groups, and classes are needed • Management of natural resources is essential to avoid excessive depletion
The T21 Process • Includes activities in any sector that do effect other sectors, directly and indirectly: with good and/or bad impacts • Takes account of the many years before impacts are evident • Deals with issues systemically • Economic activities affect society and the environment -- Pollution, and climate change • Social activities affect the economy and environment -- Migration, and land degradation • Environmental factors affect the economy and society -- Soil erosion, floods, drought, and heat waves
The Threshold 21 Structure • System dynamics methodology • Based on existing sector analyses, models • Reflects observed real world relations • Analyzes cross-sector links and feedback loops • Composed of three main pillars • Economic -- SAM, key market balances, and production • Social -- dynamics in population, health, HIV/AIDS, education • Environmental -- area specific issues and information • Adapted to priority goals and vision for each individual country based on its own data, structure, and patterns of activity • Calibrated against history to provide reality checks and validation • Generates multiple medium-to-long-term scenarios • Transparent and easy to use
T21’s Role in Decision Making • Provides an integrated approach to national planning to take account of many factors • Brings sector agents and stakeholders together to identify key issues to be addressed • Helps develop more efficient and cost effective paths to the country’s goals, including MDGs and CCA • Helps build joint ownership and support for changes that emerge from the process • Helps demonstrate benefits over a longer term to build popular support • Builds local capacity to continue and improve the analysis and modeling process
Some Examples • Ghana and MDGs • Bhutan and Cooperation • Mozambique and roads • Climate Change Adaptation in Namibia, Kenya, Nigeria, and more
Thank You for Your Attention Questions and comments are welcome www.millennium-institute.org Jed.shilling@verizon.net