Description

in-person

Ecotekne University Campus, Via Lecce-Monteroni, 73100 LE

BUILDING A, SEMINAR ROOM I FLOOR

Classroom location

(hold down CTRL+left mouse button and click the Google Maps link)

https://maps.app.goo.gl/R47PY17cBwZA4fXV9

From June 3rd to June 6th, 2025

25 (in-person)

Francesco Iarlori, Vittoria Mascellaro

This intensive four-day course offers an interdisciplinary exploration of Artificial Intelligence (AI) and Machine Learning (ML) applications within environmental sciences. Participants will gain foundational knowledge of AI concepts, including supervised, unsupervised, and reinforcement learning, and understand how these technologies are transforming environmental research and practices.

The curriculum delves into practical applications such as biodiversity monitoring through image and audio recognition, climate modelling, remote sensing via satellites and drones, and big data analysis for air, water, and soil quality.

Critical discussions will address the technical challenges of AI in environmental contexts, including data quality, model biases, and system complexities. Ethical considerations will be a focal point, examining issues like surveillance, data privacy, the impact of automation on scientific work, and the implications of AI in environmental policymaking.

Through a combination of lectures, hands-on activities, group discussions, and a mini-project, participants will develop the skills to critically assess and apply AI tools in environmental science, fostering a responsible and effective integration of technology in the pursuit of sustainability and environmental justice.