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Home / Challenges / Upcoming Projects / Data-Driven Sustainability: Enhancing Consumer Product LCA for Reduced Carbon Footprint and Social Impact
This is a paid opportunity. In order to be eligible to apply for this project, you need to be part of the Omdena community and have finished at least one AI Innovation Challenge.
You can find our upcoming AI Innovation Challenges at https://omdena.com/projects.
This project aims to address the critical issue of high carbon footprint and social impact associated with consumer products. Life Cycle Assessment (LCA) is a methodology used to evaluate the environmental and social impacts of a product throughout its entire life cycle, from raw material extraction to disposal. However, the lack of comprehensive and relevant data sources for conducting LCAs poses a significant challenge in accurately assessing the environmental and social footprints of consumer products.
The first problem that will be addressed is the limited availability of relevant data sources for conducting LCAs. Many existing LCA solutions rely on outdated or generalized data, which may not reflect the true environmental and social impacts of specific consumer products. Without access to accurate and up-to-date data, companies and policymakers struggle to make informed decisions about sustainable product design, manufacturing, and consumption. The second will be the high carbon footprint and social impact of consumer products. The production and consumption of consumer goods contribute significantly to greenhouse gas emissions, deforestation, water pollution, and other environmental issues. Additionally, the supply chains of consumer products often involve labor practices that can be harmful to workers and local communities, leading to social inequalities and human rights violations.
Impact of the problem:
The impact of the above-stated problems is multi-faceted and has wide-ranging consequences for the environment, society, and the economy.
Solution:
The project’s goal to add new relevant data sources to the core AI-assisted LCA solution of the startup aims to address the identified problems and their impact. Ultimately, the project’s mission to enhance the LCA solution and reduce the total carbon footprint and social impact of consumer products can pave the way for a more sustainable and equitable future. By addressing the identified problems and leveraging data-driven insights, the project seeks to drive positive change and foster a culture of responsible production and consumption in the consumer goods industry.
The main project goal is to enhance Data Sources. The primary goal of the project is to add new, relevant, and comprehensive data sources that can be utilized for conducting Life Cycle Assessments (LCAs) of various consumer products. These data sources will encompass environmental and social impact indicators to provide a holistic view of the product’s life cycle.
**More details will be shared with the selected candidate.
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