Case studies

Save thosands of hours of manual work

Australia Awards

Australia Awards is the Australian government's largest development initiative in Africa

granting over 1000 scholarships a year to promising African leaders.

The Problem

• Australia Awards is having a tremendous impact on skills development in Africa.

• The good news? They are getting thousands of applications for scholarships every year.

• The bad news? Reviewing each application manually takes time and they have outgrown

this method of reviewing applications. The growth in the number of applications has led to a

situation where some applications are hardly considered at all.

• Australia Awards has staff who are highly trained in Microsoft Excel as well as traditional

programming methods. They have filtered applications as far as they could using traditional

techniques. However, since most of the application form is comprised of long text essays,

they were unable to analyse the data programmatically and automate their workload.

Our Solution

Elucidate developed a custom machine learning system using cutting edge Natural

Language Processing (NLP) techniques to evaluate every application in order to prioritize

applications of the best candidates. The application was designed to be transparent such that

staff could understand how every model decision is made.

The Results

• Cut number of applications requiring manual review by over 50%

• Saved over two thousand hours of manual review

• Staff were better able to understand how decisions are made and cater for potential biases.

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