We live in a period of profound systemic change, and as in similar periods in the past, there is bound to be considerable instability and uncertainty before the new society and economy take shape. We have to identify actions that will shape change for the better, and help to build resilience to the inevitable shocks inherent in, and generated by, the complex system of systems constituted by the economy, society and the environment. These challenges require updating the way policies are devised and implemented, and developing more realistic tools and techniques to design those policies on the basis of appropriate data. In Systemic Thinking for Policy Making world experts from the OECD and International Institute for Applied Systems Analysis (IIASA) pool their expertise and experience to propose new approaches to analysing the interconnected trends and issues shaping today’s and tomorrow’s world. The authors argue that to tackle planetary emergencies linked to the environment, the economy and socio-political systems, we have to understand their systemic properties, such as tipping points, interconnectedness and resilience. They give the reader a precise introduction to the tools and techniques needed to do so, and offer hope that we can overcome the challenges the world is facing.
Systemic Thinking for Policy Making
Abstract
Executive Summary
To tackle planetary emergencies such as climate change, and the trends and issues shaping today’s and tomorrow’s world, we have to understand their systemic properties, such as tipping points, interconnectedness and resilience. The OECD and the International Institute for Applied Systems Analysis (IIASA) have expertise and experience in applying systems thinking to propose new approaches to achieving this understanding.
The systems approach can promote cross-sectoral, multidisciplinary collaboration in the process of policy formulation by taking proper account of the crucial linkages between issues generally treated separately within different specialisations and scientific and institutional “silos”. The approach provides a methodology to achieve a better understanding of the non-linear behaviour of complex systems and improve the assessment of the consequences of policy interventions.
Key findings
Next-generation systems analysis models have to better integrate real-world dynamics such as social and behavioural heterogeneity. This will help to represent social dynamics and complex collective decision‑making and facilitate the evaluation of the effectiveness of policies and their systemic impacts.
Systems thinking inside the public sector is generally a ‘sense making’ tool to make interconnectedness visible (usually with the help of outside experts) rather than a day-to-day practice that helps guide everyday action and decision‑making. Even if policymakers as individuals are systems thinkers, it does not mean the policies they design are systemic; one needs institutions to support systems policy making.
A systems approach is a valid tool to analyse education within the continuum of the life cycle to understand the inter-relationships with other components such as the health and labour force participation, and to identify alternative strategies and foresee their impact. IIASA’s multistate population and education modelling can inform the OECD’s strategic and policy-oriented mission. This will be important in poorer countries where the education, particularly of girls and women, is a key instrument to reduce poverty and improve gender equality.
Five dimensions of inclusivity are consistently helpful for structuring perspectives on challenges to which systems thinking can be applied: impacts; feedbacks; trade-offs; emergences; and stakeholders. Universally relevant training dimensions include systems principles; qualitative and quantitative methods; simple and complex models; and examples.
Developments to obtain more-integrated sustainability pathways could include integrating feedbacks from environmental damages into demographic and education projections; and further integrating demographic, education, and income projections. A gender aspect could also be considered.
The need for collaboration to address global sustainability challenges runs counter to current political trends, where solutions advocated to address the needs of an individual country may prove detrimental by ignoring their international implications and longer-term consequences.
Formal systems modelling can assist innovation policies to tackle deep innovation uncertainty. Models drawing on portfolio theory provide a quantitative framework of the economic value of risk diversification. In these models, different degrees of risk aversion (to innovation failure) become an input variable specified by policymakers. “Optimal” diversification portfolios given pre-specified innovation uncertainties and policy-specified risk aversion can be determined mathematically.
Agent-based modelling (ABM) can complement a systems mapping approach. Agent-based models, including one maintained by IIASA, provide a “sandbox” for exploring the consequences of linkages and feedback effects for individual agents and for the system as a whole.
Studies that would benefit from integration of IIASA and OECD’s approaches, data, and tools include: (1) Globally consistent national efforts for biodiversity. IIASA’s statistical and empirical approaches combined with OECD’s policy expertise to build scenarios of policy efforts across countries. (2) Exploring the role of trade in climate risks resilience to identify trade policy strategies combined with robust land use strategies capable of mitigating the most adverse impacts for food security and the environment. (3) National policies for SDG-compatible development pathways compatible with the Paris Agreement on climate.
Recommendations
Conventional policy analysis contains four precepts that should be reversed. Do not: insist on a single and agreed definition of the problem; distinguish facts from values; set up a single metric for comparing and assessing options; optimise around the most promising option.
A systems approach should be applied to both the system to be governed and the governance system itself. The OECD’s ‘whole of society’ approach for managing risk could incorporate IIASA’s suggestions for establishing learning loops to reframe or enable transformative changes and focus attention on the critical nodes that are key to ensuring resilience of economies and societies.
Systemic issues IIASA and OECD could collaborate on include sustainable and inclusive growth and well‑being; linkages between finance, investment, and climate change; concerted policies for the climate, ecosystems, energy, and water nexus; longer-term strategies for employment; managing the interactions between technological innovation and economic progress; a concerted approach to water, food, and trade; systems-based approaches for development co-operation to meet diverse needs and aspirations; strategies and governance to assess and manage systemic risk; improved methodology and tools for modelling; and adapting institutions to systems thinking to meet new challenges.
