Welcome to Sukri Ramli Research Lab (SRRL), a research initiative led by Sukri Ramli. Our mission is to tackle complex organizational and systemic challenges by developing a deeper understanding of underlying structures and dynamics. We utilize System Dynamics thinking, complemented by data analysis and advance technologies like AI, to design and test innovative solutions that enhance efficiency, effectiveness, and clarity in complex environments. Our research applies rigorous methods to understand and improve complex systems. Key areas include:
System Dynamics Modeling: Developing causal loop diagrams and simulation models using tools like Google Colab, Python and Vensim to map, understand, and find leverage points within intricate organizational and societal systems.
Problem Structuring & Simplification: Applying methodologies to break down complex, interconnected problems into more manageable components for effective analysis and intervention.
Data-Driven Solutions: Utilizing data analysis, simulation, and computational tools (leveraging techniques including machine learning or AI where appropriate) to develop and validate impactful solutions.
Organizational Learning & Process Improvement: Investigating how insights gained from modeling and analysis can foster organizational learning and lead to sustainable improvements in operational processes.
Our Approach:We employ a problem-driven, interdisciplinary approach centered on System Dynamics thinking and modeling. We combine qualitative insights with quantitative analysis and simulation to uncover root causes and test potential solutions rigorously. Data science and AI techniques are leveraged as tools where they add value to the core task of understanding and simplifying complex problems. We are committed to practical application and open research principles, sharing our methods and findings through relevant platforms like Authorea, Cambridge University Preprints, Open Science Framework, and Google Scholar. Connect With Us:We invite you to explore our research outputs and engage with our work. We welcome dialogue and are open to consultation and collaboration with researchers, organizations, and practitioners facing complex systemic challenges.