OnCo
ideasIdea

An annual map of high-burden questions that nobody is funding

Mine grant databases and the literature to find cancer types and questions with heavy burden and zero active projects, then publish the list so funders and scientists can go there.

Cross the burden matrix (cancer type by stage by question: prevention, detection, metastasis, resistance, supportive care) against active grants, registered trials and recent publications to identify 'white space': cells with high burden and little or no activity. Publish a ranked list each year with suggested first experiments, and pair it with a dedicated call. Language models can classify grant abstracts and trial registrations at scale, which makes the map cheap to maintain.

Hypothesis
Publishing a white-space map with a linked call raises the number of funded projects in the ten highest-burden empty cells by at least fivefold within three years, compared with equally empty cells not highlighted.
Rationale
Funding follows visibility; the Open Targets and Illuminating the Druggable Genome programmes showed that simply cataloguing understudied proteins and offering targeted money moved researchers into them. The same mechanism should work for clinical questions.
What would test it
Build the map for one country from public grant and trial data; randomise which white-space cells are highlighted in a call and compare subsequent application volume between highlighted and control cells.
Maturity
speculative
Who has to act
data
Cost to try
Small (under $1M)
Years to first evidence
2
Bottlenecks it attacks
  • Funding follows fashion, not burden · Money goes to the cancers and questions that are easy or popular, not the ones that kill most or where a dollar would do most.
  • Failures are hidden · Negative trials, failed drugs and abandoned programmes are rarely published, so the same mistakes are repeated.

Connected

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