Finn Luebber

Abstract Research funding is a key determinant of scientific progress. However, current allocation procedures for third-party funding are criticized due to high costs and biases in the selection. Here, we present data from a large German funding organization on an implementation of a lottery-first approach followed by peer review to allocate funding.

Research funding determines the course of science and thus shapes future knowledge. However, funding allocation is inherently biased, non-optimal and costly. We present a Shiny app that simulates the effects of funding scenarios on costs, diversity and quality. We advocate a lottery at the beginning to promote inclusion. Peer review and grant allocation decisions are poorly predictive of overall grant productivity1.