From poverty alleviation to nationalsecurity: computational modellingenabling smart solutions that work“By extending its applications, we can harness the power of computational modelling totackle poverty, unemployment and national security, and promote environmental, socialand governance practices.” – Regina MaphangaComputer modelling refers to the processof creating virtual representationsor simulations of real-world systems,allowing researchers and policymakersto study and analyse complex phenomena ina controlled environment or processes usingcomputer software and algorithms. It entails theuse of mathematical equations, data inputs andcomputational algorithms to mimic and simulatethe behaviour, interactions and outcomes of thesystem being modelled.Computer modelling offers several benefitsand applications. It allows researchers, scientists,engineers and decision-makers to study complexsystems, explore what-if scenarios, optimisedesigns, predict outcomes and make informeddecisions without the need for costly or timeconsumingphysical experimentation. It bridgesthe gap between theoretical understandingand real-world complexity, enabling us to gaininsights into systems that may be inaccessible,expensive or dangerous to study physically.By extending its applications, we can harnessthe power of computational modelling to tacklepoverty, unemployment and national securityand to promote environmental, social andgovernance (ESG) practices. As a thought leaderin computational modelling, I firmly believe thatleveraging its capabilities in these domains canreshape our society and create a more equitableand secure future.Poverty alleviation and unemployment:Poverty alleviation and unemployment arepressing socioeconomic challenges that requirecomprehensive approaches to address themeffectively. Computational modelling offers apowerful tool for understanding the intricatedynamics of these issues and developingtargeted strategies for intervention.By applying computational models,researchers can simulate various scenariosto assess the impact of different policiesand interventions on poverty reduction andemployment creation. These models considerfactors such as economic indicators, socialconditions, educational attainment levels,access to resources and government initiatives,to cite a few.Furthermore, computational modellingenables policymakers to identify potentialbottlenecks or unintended consequencesthat may arise from certain interventions. Byanalysing various parameters within the model’sframework, decision-makers can optimiseresource allocation by prioritising sectors witha high potential for job creation, while alsotargeting vulnerable populations that are mostin need of support.This understanding enables us to designtargeted interventions, such as skill developmentprogrammes, job creation initiatives and socialsafety nets, with the aim of fostering inclusiveeconomic growth and enhancing livelihoods.National security: Ensuring the safety andsecurity of nations in an increasingly digital andinterconnected world demands advanced toolsfor risk assessment, intelligence analysis andstrategic planning. Computational modellingplays a pivotal role in analysing complexgeopolitical landscapes, simulating potentialscenarios and assessing the impacts of variouspolicies. By integrating diverse datasets andGAUTENG BUSINESS 202516
FOCUSemploying sophisticated algorithms, we canenhance our ability to detect emerging threats,formulate effective defence strategies andsafeguard national interests.ESG practices: The integration of ESGprinciples is vital for organisations that arecommitted to long-term sustainability andresponsible business practices. Computationalmodelling empowers decision-makers toevaluate the impact of their actions onenvironmental conservation, social wellbeingand corporate governance. By incorporatingdiverse variables and quantifying the potentialoutcomes, organisations can identify sustainableinvestment opportunities, optimise resourceallocation and enhance transparency andaccountability.Manufacturing: Next-generation manufacturingindustries can push the boundaries of innovationby adopting modelling tools. Computationalmodelling supports innovation in product andprocess design, reduces the need for physicaltesting and prototypes, defines complex processparameters and leads to quality products androbust manufacturing processes.Smart infrastructure and sustainable urbanplanning: The efficient utilisation of resources,resilience to climate change and the developmentof smart cities are critical components of asustainable future. Computational modellingenables us to design and optimise infrastructuresystems, integrating renewable energy sources,transportation networks and waste managementsystems. By simulating the interactions betweenthese components, we can identify strategiesthat minimise environmental impact, enhanceenergy efficiency and improve the quality of lifefor urban populations.Crisis response and disaster management: Inthe face of natural disasters, disease outbreaks orhumanitarian crises, computational modellingoffers crucial support for emergency responseand resource allocation. By simulating differentscenarios, emergency planners can identifyoptimal strategies, assess the potential impactsand allocate resources effectively. Furthermore,modelling the spread of infectious diseasesaids in understanding transmission dynamics,evaluating the effectiveness of interventions andformulating proactive healthcare strategies.As computational modelling revolutionisesour understanding of complex systems, itbecomes a powerful tool for driving socialimpact. By leveraging its capabilities in povertyalleviation, unemployment mitigation, nationalsecurity and ESG practices, we can foster a moreinclusive, secure and sustainable future.As a thought leader in computationalmodelling, I am committed to pushing theboundaries of its application in various domains,working towards a world in which technology isharnessed for the betterment of society. Let usembrace computational modelling as a catalystfor transformative change, shaping a futurethat leaves no-one behind and prioritises thewellbeing of both people and the planet.By Regina MaphangaTHE AUTHORRegina Maphanga is the Research Group Leaderfor the Design and Optimisation research groupat the Council for Scientific and IndustrialResearch (CSIR) in Pretoria. She has a PhD inphysics from the University of Limpopo.Email: RMaphangai@csir.co.zaCSIRNow is the time to seize the tremendousopportunities offered by computationalmodelling. By partnering with us, a thoughtleader in computational modelling andsustainable business development, you canunlock new frontiers and drive innovation ata reduced cost and time. Our expertise willempower your organisation to harness the fullpotential of computational modelling, optimiseoperations, embrace sustainable practices andposition your brand as a leader in the market.17 GAUTENG BUSINESS 2025
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