Organizational Complexity incubator

Objectives

1. Develop students’ skills in identification, formulation, and resolution of complex organizational issues.

2. Study the theoretical-conceptual frameworks, technologies, models, and methodologies of complexity science and their application to both decision-making and problem-solving processes and (academic) organizational research.

Research areas:

• Complexity and management sciences
• Organizational diagnostics, complexity, and uncertainty
• Systemic risk and hyper-risk
• Model-based management
• Modeling and simulation of complex systems
• Optimization of complex systems

• Prediction of complex systems
• Science of complex networks
• Complexity and decision-making
• Complex systems engineering
• Complexity and strategy
• Critical infrastructure management

 
• Complexity in socio-technical systems
• Analysis, design, and management of systems of systems (or networks of networks)
• Logistical (transportation, distribution, supply chain) systems
• Adaptive business intelligence
• Guided self-organization
• Organizational learning and complexity


 
Director: Nelson Alfonso Gómez Cruz
nelson.gomez@urosario.edu.co