Organic Waste Stream Analysis & Diversion Planning
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AI Contract Overview
The City of Cincinnati is seeking a subcontractor to conduct a comprehensive data-driven analysis of organic waste generation across multiple sectors with the goal of modeling the potential for diversion and recommending actionable strategies to achieve a 50% organic waste diversion target by 2028. The scope requires detailed examination of waste streams from residential, commercial, institutional, and industrial sources, utilizing existing data and identifying data gaps to build accurate predictive models that quantify diversion opportunities. The contractor must evaluate current infrastructure, policy frameworks, and behavioral patterns to propose scalable, cost-effective interventions such as expanded collection programs, public education campaigns, or partnerships with composting and anaerobic digestion facilities. The project demands advanced analytical capabilities in waste stream characterization, statistical modeling, and scenario planning to assess the impact of various diversion pathways under different policy and economic conditions. The final deliverables must include a prioritized set of recommendations supported by robust data, timelines for implementation, and metrics for monitoring progress toward the 2028 target. Subcontractors must respond by the August 28, 2026 deadline, under a solicitation categorized under NAICS code 541620, which pertains to environmental consulting services. The opportunity is posted on the City of Cincinnati’s BonfireHub platform and is not subject to any set-aside provisions.
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OH, USASet-Aside
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