A panel discussion titled “The Use of Machine Learning in the Environmental Field” will be held on Wednesday, February 24, 2026.

The workshop lecture addressed the role of machine learning, a major branch of artificial intelligence, which has become a highly influential factor across various fields of environmental research. Machine learning enables researchers to process massive volumes of data that are structurally complex or rapidly generated, at a scale that exceeds human capacity for manual analysis.

In environmental research, machine learning is primarily employed as a pattern recognition engine. It transforms unstructured raw data—such as satellite imagery, audio recordings, and sensor measurements—into structured, scientifically valid, and actionable evidence.

This scientific workshop was conducted within the framework of supporting scientific research and advancing modern analytical methodologies, in alignment with the Sustainable Development Goals, particularly Goals 4 (Quality Education), 8 (Decent Work and Economic Growth), and 11 (Sustainable Cities and Communities).