AI and the Circular Economy: Shaping the Future of Construction Policy and Practice Conference on AI

Half-Day Conference on AI-Driven Circularity in the Built Environment

Discover how digital innovation and circular thinking are shaping the future of the built environment—where AI meets sustainability to create smarter, greener cities.

Date: Friday, 28 November 2025

Time: 14:00 – 17:00

Venue: Room 1.325 (Senate Hall), ISSAI Department, Block 1, Nazarbayev University

Facilitators: ISSAI and ACI Student Chapter (aci@nu.edu.kz) 

To participate the event email to ferhat.karaca@nu.edu.kz

About the Conference

Artificial Intelligence (AI) is transforming how we understand, measure, and promote circularity in cities and construction. This conference explores how AI-powered tools and data analytics can redefine sustainability practices in the built environment, helping cities transition toward circular construction policies and resource-efficient operations.

This event will bring together experts, policymakers, and researchers to discuss how AI-driven data analytics and circular city indдexing (CCI) can accelerate sustainable construction practices and policy innovation. Topics include AI applications in urban resilience, material flow optimization, circular city performance assessment, and intelligent construction management. The event will highlight how AI can provide measurable indicators of urban circularity, offering policymakers and practitioners a clearer path toward greener, data-informed decisions.

Themes and Discussion Topics

• – AI for Circular Construction – Leveraging machine learning and data analytics to assess material flows, waste reduction, and lifecycle performance in construction projects.
• – Circular City Indexing (CCI) – Developing robust frameworks and indicators to evaluate how urban systems perform within circular economy principles.
• – Digitalization and Big Data in the Built Environment – Integrating sensor data, geospatial analysis, and predictive modeling to enhance circular city management.
• – Policy and Practice Interface – Translating AI insights into actionable strategies that support national and international sustainability goals.
• – Future Skills and Research Directions – Preparing engineers, planners, and policymakers for AI-driven transitions in urban and construction sectors.

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