Paper Title Number 1
Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Pages
Paper Title Number 1
Your Name, You. 2009. "Paper Title Number 1." Journal 1. 1(1).
This paper is about the number 1. The number 2 is left for future work.
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Paper Title Number 2
Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
This paper is about the number 2. The number 3 is left for future work.
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Paper Title Number 2
Your Name, You. 2010. "Paper Title Number 2." Journal 1. 1(2).
This paper is about the number 2. The number 3 is left for future work.
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Paper Title Number 3
Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Paper Title Number 3
Your Name, You. 2015. "Paper Title Number 3." Journal 1. 1(3).
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Paper Title Number 4
Your Name, You. 2015. "Paper Title Number 4." Journal 1. 1(4).
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Paper Title Number 5
Your Name, You. 2017. "Paper Title Number 5." Journal 2. 1(4).
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Posts
Future Blog Post
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Blog Post number 4
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
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Portfolio item number 2
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publications
Using machine learning and remote sensing to value property in Rwanda
Brimble, Paul, Patrick McSharry, Felix Bachofer, Jonathan Bower, and Andreas Braun. 2020. "Using machine learning and remote sensing to value property in Rwanda." Policy paper, International Growth Centre, London.
Property valuation models can achieve mass valuation transparently and cheaply. This paper develops a number of property valuation models for Kigali, Rwanda, and tests them on a unique dataset combining remote sensing data and infrastructure and amenities data for properties in Kigali, with sales transaction data for 2015. We use a machine learning approach, Minimum Redundancy Maximum Relevance, to select from 511 features those that minimise ten-fold cross validated Mean Absolute Error. Cross validated diagnostics are used to eliminate overfitting given that our goal is to generate a model that can be used to extrapolate value estimates out of sample.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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