Data-Driven Decision-Making for Smarter Building Lifecycle

Enhancing lifecycle decision-making is critical for sustainable and efficient building projects. This course, Enhancing Building Lifecycle Decisions with Linked Data, introduces innovative strategies for overcoming the longstanding interoperability challenges in Architecture, Engineering, and Construction (AEC). Through linked data approaches, the course emphasizes improved information exchange, fostering a holistic perspective throughout the design, construction, and maintenance phases. Participants will gain insights into the integration of semantic web technologies with traditional building information models (BIM) to enhance collaboration and decision-making.

Key highlights include:

• Exploring the potential of linked building data for better design and construction outcomes.
• Understanding the role of semantic web technologies in addressing interoperability challenges.
• Practical case studies demonstrating improved maintenance and energy performance evaluations.

Participants will be equipped with actionable strategies to integrate advanced data-driven methodologies into their projects, ensuring more informed, efficient, and sustainable building lifecycle decisions.