This webinar will explore the critical role of data quality in Life Cycle Assessment (LCA), focusing on its implications for the usability of LCA results in decision-making.
Drawing from recent research on the influence of secondary dataset representativeness in LCA modelling, the session will demonstrate how variations in data quality can significantly affect outcomes of consumer product assessments, using Environmental Rating Ecolabels as an illustrative example.
The session aims to spark thoughts on how to address the question of data quality in regulatory applications of LCA, where transparent data approaches are essential for robust decision-making and credible communications. This topic is directly relevant to the Data Working Group’s interest in advancing scalable and reliable approaches to LCA data management.
Speaker:
Dr Maëlys Courtat (Unilever)
Maëlys Courtat is an Environmental Sustainability Scientist at Unilever Safety, Environmental and Regulatory Science (SERS). Her PhD with the University of Surrey (2025) explored the emerging field of LCA-based environmental rating ecolabels (ERE), providing practical guidance on challenges such as designing robust rating scales and managing data quality. Her work bridges academic insight and industry practice to support the development of evidence-based methodologies that enable more sustainable production and consumption patterns.
