For Funders
Identify reviewers and referees for the evaluation of grant applications.
What it's used for
Upgrade your Proposal Review pipeline
Who has the expertise to review this grant application?
Finding the best grant reviewers
Has this work already been funded?
Compare a proposal to existing projects
How can we assign panel members?
Evenly distribute workload over a panel, taking expertise into account.
How can we cluster applications?
Use semantic models to find common themes and topics in submitted proposals.
Find the most relevant referees
Whether evaluation is conducted by individual external experts or in a panel context, finding knowledgeable experts is crucial for thorough assessment.
- Confirm that suggested experts are still working in the same field through their most recent publications.
- Avoid choosing someone when potential conflicts might be present.
- Configure your own Conflicts of interest settings based on your institutional policies.
Is this project unique?
Semantically query over 3.5 million projects across hundreds of funders to compare a funding opportunity to the state of the art.
- Find related projects, who was involved and who funded those.
- Bundle project information up for grant referees in an Excel export.
The best division of labor
Assign documents across a panel of reviewers with similarity-based ordering and peer-reviewer capacity limits.
- Take Conflicts of Interest into account when assigning a reviewer
- Assign reviewers to an application based on their workload
- See who, from your list of panel members, is closest to the topic of the application
Clustering Analysis
Many funders have designed their flows around topical themes to manage a workflow. Any proposal gets put into a disciplinary bucket, and then assigned to a panel member. But research is increasingly interdisciplinary. What if we could define the groups dynamically on what is in a given round, and assign experts to that same flow?
- Use AI to detect clusters and patterns in a submission round
- Assign documents to a cluster and check within-cluster similarities
- Dynamically assign experts based on their expertise, and use the inputs for Workload Assignment.
In their words
What our clients tell us
Global Campus makes finding reviewers for our subsidy calls much less frustrating and more time efficient!
“With better matches between experts and research proposals, we experienced that researchers are more likely to accept peer review requests.”
“Global Campus is an invaluable tool in ensuring the quality and integrity of our assessments.”
See it on your own data
We would love to show you how this works for your institution and your own data. Request a demo, no strings attached!