International Conference on Artificial Intelligence for Circular Economy - (ICAICEY-26)


11th - 12th May, 2026 | Copenhagen, Denmark

Multi-format (In-person/Virtual)

Important Dates

Pre-registration Deadline

11th April, 2026

Paper Submission Deadline

21st April, 2026

Last Date Of Registration

26th April, 2026

Date Of Conference

11th - 12th May, 2026

Downloads

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 7 SDG 7 — Affordable and Clean Energy
SDG 8 SDG 8 — Decent Work and Economic Growth
SDG 9 SDG 9 — Industry, Innovation and Infrastructure
SDG 12 SDG 12 — Responsible Consumption and Production
SDG 13 SDG 13 — Climate Action
SDG 15 SDG 15 — Life on Land
SDG 16 SDG 16 — Peace, Justice and Strong Institutions
SDG 17 SDG 17 — Partnerships for the Goals
Explore

All Session Tracks

Track 01
AI-Driven Innovations in Circular Economy

This track explores the role of artificial intelligence in fostering innovative solutions for circular economy practices. It will highlight case studies and frameworks that demonstrate the integration of AI technologies in resource efficiency and waste reduction.

Track 02
Data Analytics for Sustainable Business Models

This session focuses on the application of data analytics in developing sustainable business models within the circular economy. Participants will discuss methodologies for leveraging data to enhance decision-making and operational efficiency.

Track 03
Industrial Symbiosis and AI Integration

This track examines the intersection of industrial symbiosis and artificial intelligence, emphasizing collaborative approaches to resource sharing. It will showcase successful examples of AI applications that optimize resource utilization among industries.

Track 04
Smart Technologies for Circular Supply Chains

This session investigates the implementation of smart technologies in creating efficient circular supply chains. Discussions will center on how IoT, blockchain, and AI can enhance transparency and sustainability in supply chain management.

Track 05
Lifecycle Assessment and AI Methodologies

This track delves into the integration of artificial intelligence in lifecycle assessment processes. Participants will explore innovative AI methodologies that improve the accuracy and efficiency of sustainability assessments.

Track 06
Green Technologies and Environmental Sustainability

This session focuses on the development and deployment of green technologies that support environmental sustainability within a circular economy framework. It will highlight the role of AI in advancing these technologies.

Track 07
Policy Frameworks for Circular Economy Implementation

This track addresses the critical role of policy frameworks in facilitating the transition to a circular economy. Participants will discuss the influence of AI in shaping effective policies and regulations.

Track 08
Emerging Technologies in Waste Management

This session explores the impact of emerging technologies, including AI, on waste management practices. It will highlight innovative solutions that enhance waste reduction and resource recovery.

Track 09
Performance Metrics for Circular Economy Initiatives

This track focuses on the development of performance metrics to evaluate the effectiveness of circular economy initiatives. Participants will discuss how AI can aid in the measurement and analysis of sustainability outcomes.

Track 10
Digital Platforms for Circular Economy Engagement

This session examines the role of digital platforms in promoting engagement and collaboration within the circular economy. It will explore how AI can enhance user experience and facilitate knowledge sharing.

Track 11
Renewable Energy Solutions in Circular Economy

This track investigates the integration of renewable energy solutions within the circular economy framework. Discussions will focus on how AI can optimize energy management and promote sustainable practices.

Empowering Research Continuity

At Research Leagues, academic engagement continues without interruption despite the current global situation. Researchers can present and publish through online and integrated participation pathways.