> For the complete documentation index, see [llms.txt](https://docs.mosaic-program.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mosaic-program.org/4.-adoption.md).
# 4. Adoption
We build proof-of-viability with early adopter research communities, with broader institutional buy-in following initial success.
The early adopters phase focuses on (1) research communities who adopt the MOSAIC stack because the tools improve their day-to-day work (as described in Sec. 3), and (2) individual and institutional backers using funding platforms like Catalyze who need better signals to allocate capital to individuals and small teams. MOSAIC gives them a living, verifiable view of where promising work is happening. Together they form a self-reinforcing loop: better signals attract better-allocated funding, which rewards researchers using the tools, which draws in more adopters.
The second phase broadens adoption through research-lifecycle integrations (ORCID, journals, preprint servers, scientific authoring tools). MOSAIC integrations are backwards-compatible: they enrich existing publications with structured signals, turning the literature into a connected substrate for both researchers and AI. As adoption compounds, the gains scale: mainstream researchers join with less risk once early adopters have demonstrated the rewards; MOSAIC data provides a real-time progress map that mainstream funders and institutions rely on for allocation and evaluation; and social networks enable broad, active public participation.
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