Participatory Modeling Based on System Dynamics (PM-SD) is leveraged to cultivate science vocations among children and adolescents in Santander, Colombia. Research highlights the power of participatory approaches in fostering STEM engagement, and this initiative integrates research projects, teacher support, and scientific outreach to create a sustainable impact. By collaborating with key stakeholders—institutions, educators, and communities—we demonstrate how Systems Thinking and PM-SD can improve decision-making and address real-world educational challenges. 

Systems Thinking is used as a tool for understanding and addressing corruption. The principle that “Structure Determines Behavior” highlights the need to examine root causes rather than isolated events. Our Physics of Corruption Potential Framework identifies six key attributes that create opportunities for corruption, allowing for targeted interventions without oversimplifying the issue. While high-leverage policies like transparency and ethical standards can reduce corruption, they must be carefully implemented to avoid unintended consequences such as excessive bureaucracy or a culture of fear. This approach underscores the dynamic nature of anti-corruption efforts, emphasizing context-specific strategies that drive meaningful and sustainable change.

Digital Therapeutics (DTx) uses software-based disease management, treatment, and prevention interventions, representing a significant shift in healthcare. However, adoption is hindered by regulatory, technological, economic, and behavioural challenges. This study applies System Dynamics Modeling (SDM) to explore these dynamics, simulating policy changes, tech improvements, and industry collaboration scenarios. The findings offer valuable insights for DTx developers, healthcare policymakers, and stakeholders aiming to enhance adoption and improve patient outcomes.

This paper examines operational resilience in a network of computer systems, focusing on a cybersecurity team’s response to a cyber-attack. Following the attack, restoring system capability requires sequential processes and team coordination. We analyze an adaptive assignment policy within the cybersecurity team, showing how dynamic task allocation can speed up system restoration, even if full recovery takes time.

Corruption is a significant issue in many developing countries that affects all aspects of civil life. We believe that a systems perspective of the institutional quality in these countries could be a helpful approach to controlling corruption.  We have developed a computer simulation that utilizes a database provided by the World Bank on institutional quality in every country of the World. Based on our System Dynamics simulation, we can track the changes in institutional quality in the past and project whether corruption might increase or decrease. There is an opportunity to use the simulator to suggest how to allocate government effort best to control corruption in the future.

Canada faces a conflict of interest when it promotes the Paris Climate Accords yet continues to invest in the Alberta Oil Sands. The Oil Sands will contribute $1 trillion to the Canadian economy and pay $17 in federal and provincial taxes over the next ten years. In 2018, it created or supported 217,000 jobs. On the other hand, the Oil Sands make 12% of Canada's CO2 emissions and 0.2% of the World's. It uses 263 million cubic meters of fresh water annually and takes up 4,800 square kilometres of land. We studied the impact on social, economic, and environmental well-being associated with the Oil Sands. We concluded that the Canadian government must decide whether the social and economic benefits exceed the ecological costs.

This paper offers a unique perspective on sustainable development aligned with the values of a Canadian First Nation. Notably, the primary stocks within the model embody terminology that resonates with the cultural and traditional context of the First Nation, fostering a more meaningful connection to their worldview. We use converters to align the stocks with values specifically relevant to the interests of the First Nation. The ultimate aim of this approach is to enhance acceptance of an operationalized systems thinking model within the community, thereby facilitating a more culturally attuned and impactful understanding of sustainable development.

This study emphasizes the fundamental role of modeling and simulation (M&S) in understanding and managing security risks within a system. The sequential process involves modeling the system, identifying associated risks, and integrating security models to mitigate these risks and safeguard value delivery. Examples illustrate the application of M&S to optimize cybersecurity operations, employing conditional probabilities to navigate uncertainties and detect potential threats in the operational environment. This comprehensive approach underscores the pivotal role of M&S in enhancing security measures and maintaining the effective functioning of a system.