Poster: Poster Session (Morning, 30th of July) on Wednesday, July 30, 2025, 6:25 AM
Room: Virtual Room Main
Thread: Learning and Teaching
Duration: 35 minutes
Chairs: Lucas Meneguim, Chen Tang
Support: Meltem Ceylan Alibeyoglu
Inefficient use of Human Capital in Finance: the impact of AI and the risk of Unemployment
Presenters: Madina Zhappargaliyeva, Ayana Zhappargaliyeva, Aiym Aben, Nazym Omirali, Dinara Saduakas, Asel Jumasseitova
The purpose of our work is to conduct a comprehensive analysis of the labor market in Kazakhstan, forecasting the need for financiers considering factors like the development of AI, the cost of education and the financial aspects of universities. The system dynamics method is used to account for interrelated processes, instability and time delays in the system. We expect that our model, as a tool, will help employers, universities as well as government agencies to adjust educational programs, do predictions of demand for specialists in labor market and develop measures to stabilize the labor market taking into consideration technological trends.
Beyond the Hype: Modelling How Evolving Perceptions Drive Rural Telehealth Resource Allocation and Workforce Sustainability
Presenters: Sagda Osman, Kate Churruca, Mohammad Jalali, Louise A. Ellis, Jeffrey Braithwaite
The COVID-19 pandemic accelerated telehealth adoption worldwide, yet sustainable implementation remains challenging as healthcare systems navigate evolving perceptions of benefits and limitations. This work presents a novel theoretically-derived, empirically-grounded system dynamics model addressing a critical gap in telehealth literature by explicitly modelling how perception dynamics influence resource allocation decisions and workforce sustainability over time. Built on our previous qualitative work, the model operationalises Gartner's technology adoption model, capturing the delay between benefits perception and limitations recognition as they emerge after the initial enthusiasm phase, creating an endogenous hype cycle that drives telehealth resource allocation decisions. Preliminary results demonstrate how this asynchronous perception creates patterns in telehealth capacity allocation, including initial overexpansion followed by recalibration toward a sustained equilibrium. This research contributes to both healthcare policy and system dynamics by formalising the non-linear relationship between the perception of benefits and limitations and telehealth resource allocation decisions.
Examining the Dynamic Mechanisms Governing the Physician-Scientist System in South Korea
Presenters: Moo Hyuk Lee, Jong-Il Kim, Young Kyung Do
Despite rigorous policy initiatives aimed at enhancing both the quantity and quality of physician-scientists in South Korea, these efforts have not yielded the intended policy outcomes. The aim of this study is to develop a hybrid system dynamics-agent based model to examine the dynamic mechanisms underlying the physician-scientist system. This model will be supported and validated by both qualitative and quantitative data, thereby enabling rigorous policy simulations.
Applying Community Based System Dynamics to Examine Pediatric Mild Traumatic Brain Injury Workflow in the Emergency Department
Presenters: Mia Vogel, Bradley J. De Souza, Jessica S. Wallisch, Pradip P. Chaudhari, Jose A. Pineda
Despite validated clinical decision support tools and evidence supporting guideline-based care, adherence to best practices for evaluating children with mild traumatic brain injury (mTBI) in the Emergency Department (ED) remains inconsistent. To explore this gap, we engaged emergency medicine (EM) clinicians in a community-based system dynamics (CBSD) session focused on care delivery for children with mTBI. We aimed to understand structural, site-specific factors contributing to workflow delays in information transfer and decision-making when caring for children with mTBI and identify key components of potential implementation strategies that address these delays. The CBSD facilitation manual included scripts for icebreaking, eliciting variables within the system, deliberating on how variables are connected, and voting on the most important variables. Among 8 workshop participants, 2 were pediatric EM clinical fellows, and 6 were pediatric EM attendings. The resulting causal loop diagram highlighted several relevant system-level factors clinicians consider while managing children with mTBI including the role of trust, patient volume, provider variability, and family expectations. The application of CBSD was an innovative and effective approach for assessing ED context related to mTBI care. Insights from this process will inform best practices for implementing evidence-based guidelines for children with mTBI within the ED.
Applying Systems Thinking to Understand Partnering for Hypertension Control
Presenters: Mia Vogel, Lesley Steinman, Sara Eve Sarliker
To better understand multisector partnerships for hypertension control from a complex systems perspective, we used a systems thinking approach to develop a causal loop diagram (CLD) capturing multisector collaboration for hypertension control. Drawing from a systematic literature review of 3,825 articles, content analysis of Cardiovascular Disease and Diabetes Network Leadership Team presentations, consultation with the Washington State Department of Health, a focus group, and 52 semi-structured interviews with stakeholders from five sectors—clinics, community pharmacies, community-based organizations, community health workers, and patients—we identified key factors and interrelationships influencing the success of these partnerships and their ability to promote hypertension control. The CLD depicts how social determinants of health, communication barriers, trust, role clarity, and access to resources interact with each other and with system feedback loops over time. Reinforcing and balancing feedback loops, along with delays, were visualized to better understand how system behavior emerges and where leverage points for intervention may exist. This process highlighted the value of applying a complex systems lens to public health research and offers a foundation for future simulation modeling to test and refine intervention strategies. Findings will inform efforts to improve hypertension control through coordinated, equitable, and sustainable multisector partnerships.
A Dynamic Analysis of Coproduction in Jakarta’s LSSC Waste Program
Presenter: Fazlur Rahman Hassan
Jakarta faces a significant waste management crisis, with approximately 2,406 tons of waste going unprocessed daily. To address this issue, one of the government's actions is to launch the Large- Scale Social Collaboration (LSSC) Waste program in 2021. After initial success engaging 20 collaborating partners in the first year, growth plateaued in 2022 with 23 partners, then rose to 63 partners by 2023, indicating substantial untapped potential. This paper investigates the dynamic causes of sub-optimal conditions using a system dynamics approach to construct a literature-informed causal loop diagram (CLD). The CLD serves as a dynamic hypothesis explaining the feedback structure behind the program's performance. Analysis reveals potential conflict between reinforcing loops, where citizen trust fosters participation, and dominant balancing loops, such as bureaucratic inertia and limited citizen capacity, that counteract growth. This study's novel contribution is bridging coproduction theory with system dynamics modeling to analyze collaborative public services. Future work involves translating the CLD into a quantitative simulation model to find leverage factors and optimize the system by testing policy scenarios and providing refined recommendations for policymakers.