University of Melbourne
Using machine learning to connect researchers to new funding streams
We researched, designed and developed an aggregation tool to connect academics with relevant grant opportunities to support their research.
Avoiding missed opportunities
Researchers across Australia are often applying for the same narrow range of research grants each year. This results in those grants becoming more competitive and harder to win – and a lot of researchers’ effort being wasted in the process.
The University of Melbourne wanted to develop a tool to support researchers when they’re looking for funding to support their research – and connect them to a much wider range of grant opportunities.
Paper Giant was brought in as a design and development partner to understand what the researchers would need from the tool and assist with development of the product.
Simultaneous research and development
Our approach was to develop the tool and conduct our research simultaneously. This meant we could quickly utilise a mix of clickable and live prototypes to test new aspects of the user experience with participants.
This enabled us to understand the user journey end to end, identify the most valuable opportunities to pursue and iteratively build upon what we were learning during interviews. The result is a user experience and visual brand that effectively meets the needs of researchers.
We mapped out clear user journeys and integrated complicated grant data from multiple sources with algorithmic learning to enable the tool to continually refine the grant opportunities sent to researchers.
Our deep understanding of API integration and backend systems enabled us to quickly conceptualise, build and test front-end templates and incorporate them into a pilot running with several faculties across the university.