Data-Driven Sustainability: Representing Knowledge & Decision-Making

This lecture by the instructor focuses on representing knowledge for data-driven design and manufacturing, emphasizing the importance of data representation in the transformation of design and manufacturing processes. The challenges to sustainability are discussed, highlighting the systemic nature of these challenges. The lecture delves into the significant reduction in carbon emissions required by 2030 and the role of data in addressing environmental and economic sustainability. Various concepts such as societal needs, computational interpretability, and functional independence in design are explored. The presentation also covers the application of artificial intelligence in design, decision-making, and sustainability, showcasing the evolution of transformative technologies over time.