This cluster of papers explores the representation and critique of the DIKW (Data, Information, Knowledge, Wisdom) hierarchy, with a focus on artificial intelligence, machine learning, environmental management, and health impact assessment. It delves into the interplay between data, information, knowledge, and wisdom in various domains and their implications for decision-making and problem-solving.