Sustainable Development is a complex problem that requires identification of equitable, viable and feasible interventions. In order to make appropriate decisions, it is necessary to understand the dynamics, interactions and interdependencies between technology, stakeholders and the physical world. Likewise, designing a policy requires understanding the behaviour of the individuals, communities, and their responses to each aspect of policy, which adds elements of uncertainty that needs to be taken into account. Furthermore, policies need to be evaluated based on their potential outcomes, and not just on their intentions.
SunMoksha has continued to develop solutions that have a larger impact on the world. Our tools for Decision Support are a step in helping our customers and us to make better decisions where uncertainty arises due to complex integration of Cyber-Physical-Social systems in the context of Sustainable Development. Our tools and methods help assess the impact of an intervention, as well as, anticipate the future state of affairs to build a robust and a holistic solution for the future. The tools can be used for planning interventions and formulating policies. This has been developed in collaboration with universities in the USA, UK, and India, where SunMoksha is working on disruptive innovations in the development sector.
The ‘Dilemma Triangle’ and ‘Bond Theory’ methods are used to get a holistic bottom-up view of the focus areas and issues from the perspective of people, planet and progress. Systems Dynamics Model gives a top-down approach necessary for visualizing impact of an intervention and/or a policy on an aggregated population. It can be used to evaluate impact of various policies on overall systems. Agent-based Model is a bottom-up approach used for understanding the behaviour changes in a community. It can be used to study how policy will be adopted by the individual and how will they respond to a particular intervention. Digital Twins are tools to simulate the physical systems in cyberspace to understand the dynamics of interactions of multiple physical systems, as well as, predict the outcome under possible scenarios.
