Revolutionizing Textile Sorting with AI-powered Disintegration

4 months ago

Cristina Oliveira

University

Creator



Looking for Partnership

Looking for Lead Partner


Building on its expertise in data science, management research, and sustainability, MagIC proposes a multi-pronged approach to address the challenges outlined in the call and contribute to the following expected outcomes:

1. Systemic Solutions for Textile Sorting with AI-powered Disintegration:

  • Leverage Data Science, particularly AI and Machine Learning, to develop automated systems for identifying and separating non-textile components like buttons, zippers and trims.
  • Collaborate with partners to design a digital information system using Blockchain technology to track the composition and disassembly needs of textile products throughout the value chain.

2. Improved Textile Recycling Technologies:

  • Apply Data Science to optimize existing mechanical recycling processes to improve the yield and quality of recycled textile fibers.
  • Advocate for policies that incentivize the use of recycled content in textiles utilizing Public Policy research and communication.

3. Sustainable Life Cycle Management:

  • Utilize Life Cycle Assessment (LCA) methodologies to quantify the environmental benefits of MagIC's proposed solutions compared to traditional textile sorting and recycling practices.
  • Develop innovative solutions for the treatment and reuse of side streams generated during the recycling process.
  • Employ Public Policy research to develop recommendations for policies that promote sustainable value chain approaches

4. Knowledge Sharing and Collaboration:

  • Utilize Information Systems research to develop a platform for knowledge sharing and collaboration among stakeholders in the circular textile economy.
  • Conduct research on successful circular business models in other sectors and adapt those learnings to the textile sector using Management research methods.
  • Develop training materials for workers in the circular textile economy using MagIC's expertise in data-driven skills gap analysis.

 Construction Technology
 Digital Agenda for Europe
 Digital Economy
 Innovation & Research
 Blockchain
 Artificial Intelligence
 Defence & Cybersecurity

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