The Disaster-Focused Digital Twin project, developed by the Istanbul Metropolitan Municipality Information Processing Department, won first place in the Council of Europe Development Bank (CEB) Social Cohesion Awards, where 26 projects from 95 countries competed.
The Social Cohesion competition organized by the Council of European Development Bank (CEB) was held in Budva, Montenegro. In the sixth award ceremony, projects that provide social benefits were evaluated. In the award ceremony where 26 projects from 95 member countries competed, the Disaster-Focused Digital Twin project developed by the Istanbul Metropolitan Municipality Information Processing Department won first place and won the grand prize.
RECEIVED FIVE DIFFERENT AWARDS
The Digital Twin project was awarded third place at the IDC Turkey CIO Summit 2024, first place at the Seoul Smart City Prize 2024, second place at the IDC Turkey DX Summit 2024 and first place at the Global CIO Project of the Year 2025. The project achieved significant success and was widely appreciated by returning first place at the Council of Europe Development Bank (CEB) Social Cohesion Awards.
PRESENTS SOLUTIONS AND ROADMAPS IN PREPAREDNESS FOR DISASTER
Offering innovative solutions to challenges in disaster management, the Digital Twin project supports reducing risks before a disaster and providing fast, effective and coordinated intervention during a disaster with data analysis, simulation and artificial intelligence-supported process management. With the Digital Twin project, IMM aims to present a significant model not only for Istanbul but also for all cities in the world, and to offer a globally beneficial solution and roadmap for the construction of safer and more resilient cities against disasters.
LIVES WILL BE SAVED WITH THE DISASTER-FOCUSED DIGITAL TWIN PROJECT
Within the scope of the Digital Twin project, a virtual model of Istanbul was developed in which environmental, transportation, security and energy data were integrated. Using advanced 3D city modeling, simulations and AI-supported analytical technologies, the effects of possible disasters can be predicted and the probability of damage can be assessed. The Digital Twin project will also enable much more effective emergency response planning.
