March 10, 2026

Research-Driven Education in the Academic Environment - Student Projects (II)

In accordance with the objectives of the project, we aim to increase awareness for modeling and understanding the effects of climate change. Academic trainings should act to create a robust knowledge base for action. Further, interactions between teaching and research should always be encouraged. In this spirit, AI4DTE project members collaborate in stimulating academic activities (i.e., master courses and presentations) that include in their curricula elements on AI technologies and Earth observation data to serve as a basis for understanding climate processes and societal aspects.
SIVA26_StudentsProjects_0 Proposed future use cases

Students participating in the Big Data Mining course at the SIVA master's program of the Faculty of Electronics, Telecommunications, and Information Technology (ETTI), POLITEHNICA Bucharest, have learned during the winter semester elementary skills for Earth observation data access, processing, and the integration of machine learning models to exploit satellite data.

The students were also introduced to the DTEClimate project activities and were involved in the design of proposals for new application domains and value-added use cases for the project. Some of the proposed scenarios are showcased below.

Their contributions have been displayed during the poster session at the Final DTEClimate Symposium under the title "From Current Capabilities to Future Potential: Application Pathways of the Digital Twin Earth Climate Platform (DTE Climate)."

SIVA26_StudentsProjects_1
New case studies proposed by students
SIVA26_StudentsProjects_2
New case studies proposed by students
SIVA26_StudentsProjects_3
New case studies proposed by students

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