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85 lines
3.3 KiB
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85 lines
3.3 KiB
TeX
\section{Conclusion}
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\label{sec:conclusion}
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The problems of science---irreproducibility, funding concentration, data silos, attribution failures---are infrastructure problems. They persist not because scientists are negligent but because the infrastructure makes negligence the path of least resistance.
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\Zoo{} Network does not appeal to better behavior. It changes the infrastructure. Research Capsules make reproducibility the default. \ZIP{}-based funding eliminates geographic and institutional barriers. Usage receipts ensure contributors are compensated. Formal verification makes trust in mathematical claims unnecessary---the machine checks.
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The conservation science applications demonstrate that this is not speculative. Satellite ecology, species classification, and habitat modeling are active research programs on \Zoo{} Network, producing data and results today. The DeSci platform extends this foundation to all fields of science.
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Two open questions remain:
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\begin{enumerate}
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\item \textbf{Adoption Incentives.} How to bootstrap the Data Commons past the critical mass where network effects take hold. Initial conservation datasets provide a nucleus; scaling to other domains requires domain-specific outreach.
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\item \textbf{Regulatory Integration.} How on-chain research provenance integrates with existing regulatory frameworks (FDA, EMA) for research that informs policy or clinical practice.
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\end{enumerate}
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Science deserves infrastructure as rigorous as the claims it produces. \Zoo{} provides it.
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\begin{thebibliography}{20}
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\bibitem{baker2016reproducibility}
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M.~Baker,
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``1,500 Scientists Lift the Lid on Reproducibility,''
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\textit{Nature}, vol.~533, no.~7604, pp.~452--454, 2016.
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\bibitem{wilkinson2016fair}
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M.~D.~Wilkinson \textit{et al.},
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``The FAIR Guiding Principles for Scientific Data Management and Stewardship,''
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\textit{Scientific Data}, vol.~3, 160018, 2016.
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\bibitem{demoura2021lean4}
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L.~de~Moura and S.~Ullrich,
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``The Lean~4 Theorem Prover and Programming Language,''
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\textit{Proc.\ CADE}, Springer, 2021.
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\bibitem{zoo-ai-memory}
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Z.~Kelling,
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``Sovereign AI Memory: Persistent, Private, and Portable Agent State on Zoo Network,''
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Zoo Labs Foundation, 2026.
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\bibitem{zoo-dao-governance}
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Z.~Kelling,
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``Zoo DAO: Decentralized Governance for Open Science Research,''
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Zoo Labs Foundation, 2026.
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\bibitem{zoo-data-commons}
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Zoo Labs Foundation Research,
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``Zoo Data Commons: A Decentralized Repository for Open Biodiversity Datasets,''
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Zoo Labs Foundation, 2026.
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\bibitem{zoo-tokenomics}
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Z.~Kelling,
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``Zoo Network Tokenomics: Fair Distribution Through Complete Airdrop,''
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Zoo Labs Foundation, 2025.
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\bibitem{zoo-satellite-ecology}
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Zoo Labs Foundation Research,
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``Satellite Ecology on Zoo Network,''
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Zoo Labs Foundation, 2026.
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\bibitem{zoo-species-classification}
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Zoo Labs Foundation Research,
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``Species Classification on Zoo Network,''
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Zoo Labs Foundation, 2026.
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\bibitem{zoo-federated-wildlife}
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Zoo Labs Foundation Research,
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``Federated Wildlife Monitoring on Zoo Network,''
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Zoo Labs Foundation, 2026.
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\bibitem{zoo-impact-bonds}
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Zoo Labs Foundation Research,
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``Impact Bonds on Zoo Network,''
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Zoo Labs Foundation, 2026.
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\bibitem{zoo-fhe}
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Z.~Kelling,
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``Threshold Fully Homomorphic Encryption on Zoo Network: GPU-Accelerated Confidential Computation,''
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Zoo Labs Foundation, 2026.
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\end{thebibliography}
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