OpenGrants Dashboard Feat: Density Dependent Mortality Assessment for Grant Programs

[Rashmi-278]

Problem

Assess by Mapping the data fields to density dependent mortality formula, can we track and visualize it for Grant Ecosystems?

Difficulty

Big: This project takes an entire team working for a full development cycle (six weeks).

Solution

• Assess and Map fields needed to do density-mortality comparison between two grant systems
• Visualize this stat as a feature on the OpenGrants Dashboard

References

• https://gov.gitcoin.co/t/ecological-analogies-to-an-evolutionary-framework-in-gg24/23297?u=cauetomaz

Additional context

• GG24 Stats

[cauetomaz]

Category	Suggested field	Rationale
Grant participation	Number of applications per round	Helps estimate how much “pipeline” the domain can handle.
	Number of accepted grantees per round	Often different from applications; important for capacity modelling.
	Grant titles and tags	Tags can indicate sub‑areas (e.g. tooling, infra, documentation), which helps segment capacity by sub‑domain.
Funding metrics	Total donations (sum of contributions)	Captures the “crowd” support separate from the matching pool.
	Total matching funds	Indicates institutional support; essential for calculating total funding and for capacity estimates.
	Avg donation per grant	More robust than average if the distribution is skewed; can be used in carrying‑capacity functions.
	Donation distribution metrics (e.g. Any Gini index or top 5/bottom 5 comparison)	Shows whether funding is concentrated in a few large grants or more evenly spread—useful for a robustness modifier in capacity estimates.
	Number of unique donors per round and per grant	Helps gauge community breadth; more unique donors suggests healthy engagement.
Engagement	Total number of contributions (transactions)	Indicates how actively the community participates; high transaction volume with small donations may imply broad support.
	Average number of contributions per donor	Can highlight donor commitment levels.
Grant maturity	Stage of the grant (seed, early, mature, etc.)	If available via the Grant Maturity Index (GMI), it can help adjust capacity because mature projects may absorb funding more efficiently than early‑stage ones.
Temporal data	Funding over time (daily/weekly)	Allows you to see if saturation happens at the start of a round or gradually.
Quality flags	DAOIP‑5 or similar qualification indicators	Use only qualified grants in capacity calculations to avoid inflating capacity with low‑quality proposals.