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New CRERC Mini Project

last modified Mar 12, 2019 01:21 PM
CRERC's Thies Lindenthal leads on a CDBB mini-project to improve the foundations for applying tried-and-tested machine learning (ML) approaches to the built environment.

This project improved the foundations for applying tried-and-tested machine learning (ML) approaches to the built environment. If anything, the cost of developing ML systems has dramatically fallen in the last years – and is expected to further decrease in the future. Still, collecting data for training and evaluation of machine learning system remains complex and costly. Deploying a trained model for inference at a large scale, soliciting feedback on model predictions and managing the flow of expert feedback into new iterations of a model is a also challenge.

This mini project reduced the cost of creating and deploying ML systems by creating versatile and extendable API’s, data management infrastructure and mobile apps. A future version of the API’s might be commercialised in areas like mortgage origination, insurance claim processing or property tax (non-UK, though) estimation.

How can we cost-efficiently scale ML research in the built environment from a one-city scope to the national level, manage training and evaluation data, deploy production systems for inferences and collect feedback from human experts efficiently? We believe that new software tools are pivotal in addressing three core challenges for researchers utilising ML in the built environment.

1. Collect expert input and feedback efficiently

2. Integrate with other software/apps

3. Store and display data, models and estimates

The output of this project already facilitated new academic research in urban economics and real estate. For instance, the automatic classification of the UK housing stock into vintages is underway and its coverage can be followed in real time at this interactive map:


The submission deadline for MSt applications for the 2020 course has been extended to 15th June 2020

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The University of Cambridge (Department of Land Economy), the University of Florida (Bergstrom Real Estate Center), the University of Geneva (Geneva Finance Research Institute), and the National University of Singapore (Institute of Real Estate and Urban Studies and Department of Real Estate) announce a call for papers for their joint 2020 Real Estate Finance and Investment Symposium. DEADLINE FOR SUBMISSION 1st May 2020

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We would like to invite all of Land Economy Alumni to join us for a drinks reception and dinner in Queens’ College, Cambridge on 25 September 2020 to mark and celebrate 20th year anniversary of the MPhil Programmes. This event is a fantastic opportunity for Land Economy alumni not only to stay connected with each other and Department, but to meet the Cambridge University Land Economy Board members and associates of the Department, whilst welcoming our newest alumni into the global community. We are looking forward to see you there!

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Mst Graduates 2017 19

Well done to our 2017-19 cohort of the MSt in Real Estate who graduated at the Senate House on Saturday 30th November

A warm welcome to our new cohort of MSt in Real Estate students 2019

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