Bridging the gap between waste management policies and technology: The social impact of waste generation prediction tools
Effective waste management is crucial for environmental sustainability and waste generation prediction tools have emerged as a promising solution. However, a significant gap exists between waste management policies and the adoption of innovative technologies. This article explores the social impact of waste generation prediction tools in bridging this gap, examining their potential to enhance waste management practices, improve resource allocation, and promote sustainable development. By analyzing the intersection of policy, technology and social outcomes, this study provides insights into the opportunities and challenges of leveraging waste generation prediction tools for more effective waste management.
Institutions
- Medical Laboratory Science Council of Nigeria (NG)
- Lancaster University (GB)
- Babson College (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-31
- DOI
- https://doi.org/10.5281/zenodo.17337706
- Primary Topic
- Municipal Solid Waste Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00