Transnational Meeting
May 13-15, 2024
Kavala, Greece
The final meeting of the project was the Transnational (Multiplier) Meeting held in Kavala, Greece, from May 13-15, 2024, within the framework of our Erasmus+ School Partnership Project "Forest Fire Prevention" (Project Number: 2022-1-IT02-KA220-SCH-000088025). Representatives from partner schools in Italy, Spain, Portugal, Turkey, and Poland convened to share their experiences and disseminate the project's results. The meeting provided a platform for exchanging best practices in forest fire prevention, focusing on innovative methods and technologies. Attendees engaged in workshops and presentations, highlighting the effectiveness of various AI applications in early fire detection and risk management. Moreover, the discussions led to the formulation of strategic plans for future collaboration, ensuring sustained efforts and improvements in forest fire prevention. The event fostered stronger international partnerships and underscored the importance of collective action in addressing environmental challenges.
Members of all delegations arrived in Thessaloniki on Sunday, May 12th. They were welcomed by the Greek teacher, Maria Dimitriadou and assisted in getting around the city, visiting places of cultural interest and getting transported to Kavala. Once they arrived in Kavala , they were taken to their hotel and given a fisrst night taste of our town.
Day 1 - Monday, May 13th, 2024
The first major session of the day was a workshop held from 10:00 to 11:30 on the "Applications of Artificial Intelligence in Forest Fire Prevention." This workshop delved into how AI technology can be harnessed for early fire detection, risk assessment, and resource management. Participants learned about various AI algorithms that can predict fire outbreaks by analyzing environmental data such as temperature, humidity, and wind patterns. The session also covered the integration of AI with satellite imagery and drone technology to monitor forested areas in real-time. Additionally, discussions included how AI-driven models could optimize resource allocation, ensuring timely and efficient responses to fire incidents.
A coffee break followed from 11:30 to 12:00, providing attendees with an opportunity to network and exchange ideas informally. This interlude was essential for reenergizing participants and fostering a collaborative atmosphere. From 12:00 to 14:00, the workshop continued with a deeper exploration of AI applications and various relevant apps. This segment provided a hands-on experience with specific AI tools and software designed for forest fire management. Participants engaged in interactive demonstrations, learning how to implement and utilize these technologies effectively. The session emphasized the practical aspects of AI, offering insights into real-world applications and success stories from different regions.After the morning's intensive sessions, a well-deserved lunch was organized at the Kavala city center at 14:00. This break allowed the delegations to enjoy local cuisine and explore the charming city, adding a cultural dimension to the day's events.
The day concluded with a welcome dinner at 19:30, hosted by the teachers in charge of the project for the Greek School. This dinner not only celebrated the day's achievements but also provided a platform for building stronger connections among the participants, setting the stage for future collaborations in the realm of AI and forest fire prevention.