In partnership with AIcrowd, UNSW Sydney is launching the Brick by Brick 2024 Challenge, an international competition focused on enhancing building data classification systems to foster greater sustainability and energy efficiency.
According to the CSIRO team, energy efficiency in buildings is critical, as they represent some of the largest energy consumers in today’s world, highlighting the need for smarter building solutions.
Due to inconsistent data formats, efficiently processing and analyzing energy usage information across different buildings can be both time-consuming and expensive.
The Brick By Brick Challenge, a collaborative effort with UNSW, aims to address this issue.
Inconsistent data formats across different systems pose a significant barrier to effective energy management in buildings, a sector responsible for a substantial portion of global energy consumption.
The objective of this challenge is to develop automated classification algorithms for time-series data generated by IoT sensors deployed in smart buildings. The Brick schema will serve as the foundational framework for defining and representing the metadata associated with this data, ensuring interoperability and facilitating data-driven insights.
From three anonymized buildings in Australia, this dataset includes sensor readings for temperature, pressure, alarm statuses, and other environmental factors that contribute to building performance.
The competition invites participants to build models that streamline the organization of data, reducing manual input and facilitating scalable management of smart buildings. By enhancing how data communicates, the goal is to foster greater automation in energy-efficient building technology.
As part of The Web Conference 2025, the challenge brings together a global community of researchers, data scientists, and AI developers focused on making built environments smarter and more sustainable.
Global innovators are invited to compete in automating building data for increased efficiency and sustainability with prizes up to $11,000.