Examining donor characteristics with d3.js
A bubble chart to visualize the causes men and women prefer.
Posts
The multiple comparisons problem in practice
An example of comparing multiple averages, using Python's statsmodels.
Optimizing suggested donations through AB experiments
A series of experiments to maximize fundraising income
An introduction to conditional (in)dependence, causality and probabilistic graphical models
For the purpose of feature selection in prediction or characterization
The bias trade-off for grantmaking algorithms
How do we ensure a hypothetical grant application shortlisting algorithm is fair?
Melbourne Datathon 3: 2017 Overview video
Introducing the concept of the Melbourne Datathon
From Student to Scientist
Starting out in data analytics and data science
Interview for Grants Management Intelligence
Newsletter interview for Dipping Into Data edition, August 2016
Melbourne Datathon 2: How to organize a datathon
Tips, advice and lessons learned from organizing the Melbourne Datathon
Melbourne Datathon 1: How it came about
My experiences in founding and organizing a hackathon for data science