What We Do – Technology and AI

Build Change recognizes that the right engineering and construction technology must be locally available, widely known, and cost-competitive.  Digital technology can be leveraged to create huge efficiencies that support scaling resilient housing and schools.

Build Change has been using artificial intelligence in our climate-resilient housing work for years: to rapidly determine if a house can be strengthened, to make construction inspection more efficient, to help predict earthquake and windstorm damage on housing stock so that governments and development banks are motivated to take action, and more.

Continue reading below to find out how we can help you drive the supply of and demand for resilient housing and schools through four pathways:

  • Digital tools for scale
  • Artificial intelligence for resilient housing
  • Improving codes, design, & construction
  • Capacity building, workforce development and job creation

Build Change is actively seeking partners who want to apply technology and artificial intelligence to provide practical solutions that advance disaster resilience. Join us!

The Build Change technical assistance platform, BCtap, is an end-to-end solution that pairs technology with subject matter expertise to take resilient housing programs to scale.

 

 

The simple Digital Home Strengthening Tool in BCtap can be applied to efficiently scale access to financing and technical assistance for incremental improvements in housing resilience.

ISAC-SIMO, your Intelligent Supervision Assistant for Construction, packs important construction quality assurance checks into a convenient mobile app.

The tool harnesses the power of machine learning and image processing to provide feedback on specific construction elements such as masonry walls and reinforced concrete columns.

ISAC-SIMO is open source.

Artificial Intelligence for Resilient Housing

Three ways Build Change is harnessing AI for good

  1. To rapidly determine if a house is a candidate for retrofitting

By crowdsourcing photos and using machine learning to screen for go/no-go, we reduce  time and cost for field visits.  

This Build Change initiative came in runner up for this initiative in IBM’s inaugural Call for Code program in 2018.   While this initial project was focused on earthquake resilience, the approach can be applied to climate resilience as well. 

  1. To make construction quality inspections more efficient and automated 

We developed ISAC-SIMO, Intelligent Supervision Assistant for Construction, and trained its AI to recognize the difference between good-quality brickwork and bad, good-quality steel reinforcement and bad, and more.  Build Change is proud that this tool is now universally available as an open source platform.

  1. To help predict earthquake and hurricane damage to housing 

The predictive power of AI has the potential to motivate the financing and political will to adapt homes and schools to climate change and extreme weather.  Build Change has ground-truthed a model the World Bank was using to predict damage to housing stock in St. Lucia and have made suggestions to continue to improve their algorithm.   

Dr. Elizabeth Hausler speaks on a panel on AI and Human Rights at the 2019 Skoll World Forum

Engineering, Design & Construction

Pioneering safer housing through better design & construction

Build Change is home to some of the world’s foremost authorities on seismic and disaster-resilient engineering. Our team excels at providing engineering and capacity-building excellence in the assessment, design, construction, and retrofitting of low-rise buildings in challenging post-disaster and vulnerable environments. Core to our success is a history of championing women to thrive as leaders of reconstruction and as engineers within our organization.

Support resilient housing worldwide

Join us in preventing housing loss caused by disasters and climate-induced events.

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