Data-Driven Upcycling: Unlocking New Value Chains for Recycled Plastics

6 months ago

Cristina Oliveira

University

Creator



Looking for Partnership

Looking for Lead Partner


MagIC's Contribution to a Thriving Circular Plastics Economy

Building upon 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. Increased Deployment of Advanced Digital Solutions:

  • Leverage Data Science, particularly AI and Blockchain, to develop traceability solutions for plastic materials throughout the value chain.
  • Utilize IoT to monitor waste streams and optimize collection and sorting systems, ensuring high-quality secondary materials.
  • Collaborate with partners to develop AI-powered platforms that connect manufacturers, recyclers, and consumers, promoting transparency and trust in secondary plastics.

2. Emergence of New Upcycled Plastic Value Chains:

  • Utilize Marketing research to understand consumer preferences for upcycled products and identify new market opportunities.
  • Apply Finance and Risk Management expertise to develop financial models for assessing the viability of upcycling businesses.
  • Work with partners to identify potential applications for upcycled plastics through Information Systems research and data analysis of existing product life cycles.

3. Increased Upcycling and Recycling Rates:

  • Develop Geoinformatics tools to map plastic waste generation patterns and identify areas with high recycling potential.
  • Utilize Data Science to optimize recycling processes and predict maintenance needs for recycling equipment.
  • Employ Public Policy research to advocate for policies that incentivize upcycling and recycling, such as extended producer responsibility schemes.

4. Increased Uptake of Recycled Plastics:

  • Leverage Marketing expertise to develop consumer awareness campaigns promoting the benefits of recycled plastic products.
  • Utilize Data Science to analyze life cycle assessments (LCA) of recycled plastic products, demonstrating their environmental superiority.
  • Collaborate with partners to design innovative, high-value products incorporating recycled plastics, leveraging expertise in Information Systems research.

5. Increased Resource Efficiency and Reduced Environmental Impact:

  • Utilize Life Cycle Assessment (LCA) methodologies to quantify the environmental benefits of upcycled and recycled plastics compared to virgin materials.
  • Develop Geoinformatics tools to monitor the environmental impact of plastic production and disposal throughout the life cycle.
  • Advocate for policies that promote resource efficiency and reduce plastic pollution through Public Policy research and communication.

6. Widespread Adoption of Circular Business Practices:

  • Utilize Information Systems research to develop platforms for knowledge sharing and collaboration among stakeholders in the circular plastics economy.
  • Conduct research on successful circular business models in other sectors using Management research methods, and adapt those learnings to the plastics sector.
  • Develop training materials for workers in the circular plastics economy using data-driven insights on skill gaps and future workforce needs.

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