Tinder for researchers
How machine learning helps optimize the grant application process
To add intelligence to your business processes: that’s the mission of Flexso Digital. In line with that mission, we recently developed a pioneering solution that combines SAP Leonardo capabilities like machine learning and natural language processing (NLP) to help researchers quickly find the right funding opportunities. When presenting the application at this year’s edition of the SAP Higher Education and Research User group (HERUG) in New York, the feedback was raving.
More and more companies are embracing next-generation artificial intelligence and machine learning technologies to automate repetitive tasks and, as such, improve productivity and effectiveness. One example of a such a task is the matching processes. By automatically and intelligently matching incoming payments with outstanding invoices or transactions on bank statements to those in the general ledger, for example, finance teams raise their efficiency. Matching candidates to job descriptions helps HR teams speed up the recruiting process.
Automating a lengthy application process
Flexso Digital developed a Tinder-like application to automate a more challenging process: the matching of universities, research institutes and their researchers with funding opportunities.
Research is an important yet very costly task of every university. To conduct research, scientists need money: to run studies, finance lab equipment, pay their assistants and even pay their own salaries. However, the traditional grant writing and grant proposal process is very time-consuming: universities capture all relevant funding programs and their calls and share this information with their researchers, who will then apply for funding. Funding organizations, for their part, also spend precious time on finding the right projects – while they need that time to focus on core research. In spite of all the hard work, the success rate is very low: between 10% and 20% of submitted projects get funded. So, the chance that a submitted project finds funding is very small compared to the – manual – work that preceded it.
‘Research call matching dashboard’
This is why we developed our Research Funding Matching Application. Combining both the deep learning and text analysis capabilities of SAP Leonardo, we provide universities and researchers with a real-time research calls matching dashboard. The dashboard contains funding opportunities automatically retrieved from public and private funding organizations. These are immediately aligned with the specific skills, interests, research projects and project history of the university, research institute and individual researcher. This information can be enriched and blended with any master data coming from SAP S/4HANA or any other solution containing relevant information.
Time savings and higher success rate
The benefits are obvious:
- Reduced time and money spent on screening grants and preparing the application – to win time for core research;
- Improved quality of the application thanks to smart analytics (history, trends, continuous learning (won vs. lost));
- Higher success rate thanks to artificial intelligence (compliance check, focus on the right grants/applications, predict chance of success etc.).
Interested in learning more about this solution?
We are happy to share our knowledge with you
Be the first to read how Flexso tackles real-life scenarios and make the most of our tips based on experience and practical cases.