How AI shapes climate change solutions: Insights from BNU’s sustainability session

Panel discusses significance of AI-based models in predicting climate change, foundation of BNU’s sustainability efforts
An undated image that shows smoke coming out into the environment, causing pollution. — Shutterstock
An undated image that shows smoke coming out into the environment, causing pollution. — Shutterstock

As the world grapples with increasing environmental challenges, the integration of cutting-edge artificial intelligence (AI)-powered technology and innovative solutions has garnered notable focus.

The session titled "Sustainability and Climate Change: Impact and Solutions & Sustainable Tourism and Heritage" held in Lahore underscored the importance of integrating AI and data-driven approaches to combat critical environmental challenges.

The session was moderated by Mrs Imrana Tiwana, where the panel emphasised Beaconhouse National University’s (BNU) sustainable climate change model. The panel discussed the significance of AI-based models in predicting climate change, a foundation of BNU’s sustainability efforts.

Later, students were invited to share their presentations. Wahaj ul Islam, a student, presented his paper, expressing his commitment to developing a model that efficiently manages waste disposal by leveraging AI-driven technologies. He further highlighted how these tools could transform waste management policies.

Following Wahaj, Amjad Tunio presented his project on plastic waste management and its conversion into artwork. He outlined the destructive impact of plastic, which takes up to 450 years to decompose, and showcased his creativity by efficiently utilising plastic waste collected from BNU.

Mrs. Imrana further highlighted BNU’s ambition to become Pakistan’s first-ever green university, while discussing the deleterious effects of smog on Pakistan’s education system and its impact on students' daily routines.

Maha, another student, presented her project on utilising satellite-based sensors to diligently monitor air quality and develop data-driven policies. She emphasised the lack of reliable data regarding sustainability and how these sensors could help bridge this gap.