Node 1: Waste Flow & Analytics
Understanding the Pulse of Urban Waste
Node 1 focuses on the critical first step of sustainable waste management: data and analytics. As Singapore's industrial and municipal landscapes evolve, understanding the exact composition, volume, and origin of waste streams is paramount. This research node develops advanced analytical models, tracking mechanisms, and predictive algorithms to map the entire lifecycle of waste materials across the island. By leveraging big data and flow analytics, researchers can identify inefficiencies in current disposal methods and pinpoint high-value opportunities for resource recovery.
Data-Driven Decision Making for the Future
The insights generated by this node act as the central intelligence for the TREASURES Centre. By creating comprehensive models of current and future waste generation, they serve as the foundational data necessary to transition Semakau Landfill into a Zero-Waste Transit Storage and Processing Hub (TSPH) by 2050. This data-driven approach empowers policymakers, industry partners, and researchers across different research nodes to design targeted, highly efficient interventions that address Singapore's most pressing resource challenges.
Our Team
Mr Jason CHENG
Deputy Director (Sustainability Division), NEA
Node 1 Lead
Dr SHI Chao
Assistant Professor, NTU School of Civil and Environmental Engineering
Node 1 Lead