Topic #1: Examining Digital Port Supply Chains Vulnerabilities: AI Perspectives to Mitigating Risks
• The transition of port operations toward cyber-physical systems (CPSs) intensifies supply chains' complexity and cybersecurity issues. Unfortunately, many automated and semi-automated port systems are not configured against unprotected intrusion. Collectively, these systems may correspond to a significant source of supply chain disruption. In this presentation, we examine Port CPS issues and show how machine learning can assist in addressing real-world port supply chain vulnerabilities.
Topic #2: Analytics for improving the socio-economic integration of Venezuelan immigrants in Colombia
• This research uses data analytics and machine learning algorithms to develop a predictive model to assess the socio-economic integration of Venezuelan immigrants in Colombia, based on historic data. Results are used to provide recommendations for the geographic redistribution of immigrants in Colombia.