# Enhancing Smart Cities' Resilience Through Competency Assessment and Open Data Utilization
## 3 Competence Systematization for Smart City Resilience  
As urban environments transform, there is an increasing demand for professionals equipped to address complex challenges. This necessitates the development of new occupational profiles across three primary axes: smart cities, green cities, and resilient cities. **Smart Cities:** Smart cities leverage advanced technologies and data analytics to enhance quality of life, sustainability, and economic growth. However, realizing the potential of these technologies requires new professional roles. Data scientists and analysts are essential for interpreting the vast data generated by the Internet of Things (IoT), facilitating evidence-based decision-making. IoT specialists and system integrators ensure seamless connectivity among devices and systems, while cybersecurity experts protect critical infrastructure and data privacy. The emergence of these professions has been highlighted by researchers such as [PERSON], [PERSON], and [PERSON] [10], who identify key roles like Smart City Planner (SCP), Smart City IT Manager (SCM), and Smart City IT Officer (SCO). These roles underscore the specialized skills needed to navigate smart city initiatives. Similarly, [PERSON], [PERSON], [PERSON], and [PERSON] emphasize the diverse skills required for smart city development, including urban planning, data analysis, and energy management [29; 30]. **Green Cities:** In pursuit of environmental sustainability, green cities focus on renewable energy, eco-friendly transportation, and sustainable infrastructure. This shift necessitates new professions, such as renewable energy engineers and consultants, who develop clean energy solutions. Urban designers with sustainability expertise incorporate green spaces and efficient transportation into city planning, while environmental impact analysts assess the ecological consequences of urban projects [31]. **Resilient Cities:** Cities face risks ranging from natural disasters to cyber threats, making resilience a critical aspect of urban management. This complexity demands professionals with specialized skills. Resilience officers and coordinators implement strategies to enhance a city's ability to withstand and recover from crises. Risk assessors and hazard mapping specialists identify vulnerabilities and develop mitigation plans, while emergency response professionals ensure citizen safety during crises. The competencies of resilience managers have been systematized in frameworks like the City Resilience Framework [32], which categorizes competencies into four dimensions: health and well-being, economy and society, infrastructure and environment, and leadership and strategy. These competencies include monitoring contagious diseases, developing sustainable economies, and establishing effective governance mechanisms. However, this framework does not directly address IT and data-driven resilience competencies for smart cities. Platforms such as those discussed in this paper offer a valuable opportunity to enhance the learning and professional development of resilience practitioners by providing flexible, accessible training resources tailored to both their specific learning needs and the demands of their roles [10; 33; 34]. Designed to accommodate constraints on time and capacity, these platforms can incorporate specialized training for a diverse range of entities, including civil protection agencies [35], local governments, law enforcement, medical emergency teams [24], mobility sectors [13; 35; 36], and other key stakeholders in resilience management. By directing trainees to modules that address specific competency gaps identified through self-assessment, these platforms enable a more targeted and efficient learning experience, allowing resilience professionals to optimize their training outcomes within limited timeframes. This approach is particularly critical given the high-stakes, fast-paced nature of resilience work in urban environments [37].