RESEARCH NEWS
FROM POVERTY ALLEVIATION TO NATIONAL SECURITY:
Computational modelling enabling smart solutions that work / By Regina Maphanga / “By extending its applications, we can harness the power of computational modelling to tackle poverty, unemployment and national security, and promote environmental, social and governance (ESG) practices.” – Regina Maphanga
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omputer modelling refers to the process of creating virtual representations or simulations of real-world systems, allowing researchers and policymakers to study and analyse complex phenomena in a controlled environment or processes using computer software and algorithms. It entails the use of mathematical equations, data inputs, and computational algorithms to mimic and simulate the behaviour, interactions and outcomes of the system being modelled.
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Computer modelling offers several benefits and applications. It allows researchers, scientists, engineers, and decision-makers to study complex systems, explore whatif scenarios, optimise designs, predict outcomes, and make informed decisions without the need for costly or time-consuming physical experimentation. It bridges the gap between theoretical understanding and realworld complexity, enabling us to gain insights into systems that may be inaccessible, expensive, or dangerous to study physically. By extending its applications, we can harness the power of computational modelling to tackle poverty, unemployment, and national security, and promote ESG practices. As a thought leader in computational modelling, I firmly believe that leveraging its capabilities in these domains can reshape our society and create a more equitable and secure future. Poverty Alleviation and Unemployment: Poverty alleviation and unemployment are pressing socioeconomic challenges that require comprehensive approaches to address them effectively. Computational modelling offers a powerful tool for understanding the intricate dynamics of these issues and developing targeted strategies for intervention.
By applying computational models, researchers can simulate various scenarios to assess the impact of different policies and interventions on poverty reduction and employment creation. These models consider factors such as economic indicators, social conditions, educational attainment levels, access to resources and government initiatives, to cite a few. Furthermore, computational modelling enables policymakers to identify potential bottlenecks or unintended consequences that may arise from certain interventions. By analysing various parameters within the model’s framework, decision-makers can optimise resource allocation by prioritising sectors with a high potential for job creation, while also targeting vulnerable populations that are most in need of support. This understanding enables us to design targeted interventions, such as skill development programmes, job creation initiatives and social safety nets, with the aim of fostering inclusive economic growth and enhancing livelihoods. National Security: Ensuring the safety and security of nations in an increasingly digital and interconnected world demands advanced tools for risk assessment, intelligence analysis and strategic planning.
