For this challenge I decided to focus on the 80,000 open grants made to currently registered charities in England & Wales. The purpose was to present an overview of the grants as well as the organisations they are made to, and to provide an easy way to filter the data e.g. by search terms, funders, dates etc. In an effort to categorise the grants by theme I applied topic modelling on the grant descriptions to pick out 20 common themes and classify the grants accordingly. This technique is a form of unsupervised machine learning; rather than having to explicitly define topics, they are generated automatically from clusters of words which commonly co-occur.