Artizen Season 6 提案 · 開放科學的入門基礎設施Artizen Season 6 Proposal · Onboarding Infrastructure for Open Science

從旁觀者,
留下名字的貢獻者。
From bystander,
to a named contributor.

DeSci 自學手冊是一份給完全零 Web3、零科研背景的人的行動導向入門指南。從看懂去中心化科學,到實際參與、留下來,並累積一份有人會引用的紀錄。The DeSci Onboarding Hub is an action-oriented guide for people with zero Web3 and zero research background. From understanding decentralized science, to actually taking part, staying, and building a record others will cite.

0 入門門檻
從零開始
Barrier to entry
Start from zero
3 階成長階梯
分段參與
Stage ladder
Step by step
10 章開放手冊
共同編輯
Open chapters
Co-edited

為 Web3 轉向者與絕對的初學者寫的實用指南 —— 一份華語 DeSci 公共財。A practical playbook for Web3 converts and absolute beginners — a Chinese-language DeSci public good.

現代科學的
三個系統性失靈。
The three systemic failures
of modern science.

這些不是個別抱怨,而是結構問題 —— 也是為什麼越來越多研究者,不再等體制自己修好。These aren't individual complaints but structural problems — and why more and more researchers are no longer waiting for the system to fix itself.

出版壟斷Publishing Monopoly

$19B 一年a year

學術出版每年規模約一百九十億美元,利潤率近 40%,高於多數大型科技公司。由公費產出的知識,卻被鎖在付費牆後。Academic publishing brings in roughly $19 billion a year at a profit margin near 40% — higher than most big-tech companies. Knowledge produced with public funds stays locked behind paywalls.

可信度危機Trust Crisis

70% & 50%

超過 70% 的研究者無法重現他人的實驗;一半以上連自己的研究都重現不了。當結果無法被重現,知識的累積基礎就開始崩塌。Over 70% of researchers can't reproduce others' experiments; more than half can't even reproduce their own. When results can't be reproduced, the foundation knowledge builds on starts to crumble.

資料黑洞Data Black Hole

80% 已遺失lost

1990 年代的原始研究資料約 80% 已永久遺失。發表後可被找到的機率,每年下降約 17%。資料保存從未被當成核心基礎建設。Around 80% of raw research data from the 1990s is permanently lost. The odds of finding a dataset after publication drop about 17% a year. Data preservation was never treated as core infrastructure.

資料來源 —— Wordsrated 學術出版統計 · Nature (2016) 再現性調查 · Wiener-Bronner (2013) · Vines et al. (2014)。Sources — Wordsrated academic-publishing statistics · Nature (2016) reproducibility survey · Wiener-Bronner (2013) · Vines et al. (2014).

不是取代,
而是多開幾扇門。
Not a replacement,
just a few more doors.

DeSci 沒有拋棄補助制度或既有機構,而是補上舊體系做不到的路徑 —— 重新分配決定、什麼時候給錢、怎麼記錄貢獻。它比較像制度增量創新,而不是制度革命。DeSci doesn't throw out grants or existing institutions. It adds the pathways the old system can't — redistributing who decides, when money moves, and how contribution gets recorded. It's incremental institutional innovation, not institutional revolution.

傳統資助制度Traditional Funding DeSci 生態DeSci Ecosystem
決策權Decision rights 單一資助機構A single funding body 由社群分散決定Distributed across the community
資金時點Funding timing 只有事前預測Up-front prediction only 事前、事後、動態並行 —— QF、RetroPGF、Token DAOPre, post, and dynamic in parallel — QF, RetroPGF, Token DAO
產權與激勵IP & incentives 與貢獻者脫鉤Decoupled from contributors 嵌進鏈上,可追溯到來源Embedded on-chain, traceable to the source

DeSci 不是單一工具。DeSci is not a single tool.

它是一組為科學研究資助、知識產權、跨國協作提供的開放基礎設施 —— 由三個核心組件組合而成。It's open infrastructure for scientific funding, intellectual property, and cross-border collaboration — assembled from three core components.

01

DAO

去中心化自治組織Decentralized Autonomous Org

沒有中央把關的決策與信任機制 —— 提案、資助、任務分配都在公開場合進行。Decision-making and trust with no central gatekeeper — proposals, funding, and task allocation all happen in the open.

02

DLT

分散式帳本Distributed Ledger

可驗證、不可竄改的貢獻紀錄。誰在什麼時間做了什麼,不再是後端可以悄悄抹除的東西。Verifiable, tamper-proof records of contribution. Who did what, and when, is no longer something a backend can quietly erase.

03

加密經濟Crypto Economics

內嵌激勵循環Embedded incentive loops

讓專案能撐過單一補助週期的資金循環 —— 同時誠實面對市場波動帶來的風險。Funding loops that let projects outlast a single grant cycle — while being honest about the risk that market volatility brings.

DeSci 主權的
三個層次。
The three layers
of DeSci sovereignty.

DeSci 重新打開的問題是:研究成果出現之後,誰決定它怎麼被使用?這三層把來源紀錄、授權、存取從後端流程往前移到研究的起點。The question DeSci reopens: once research results exist, who decides how they're used? These three layers move provenance, licensing, and access from a backend afterthought to the very start of the work.

L3

有條件開放(Conditional Public Access)Conditional Public Access

機制Mechanism在里程碑或專利保護期結束時自動觸發釋出。Auto-triggered release at milestones or when patent protection ends.

範例Example早期貢獻者的權益先得到保障,成果再進入更大的公共知識系統。Early contributors' rights are protected first; results then enter the larger public knowledge commons.

L2

設定使用權限(Programmable Access)Programmable Access

機制Mechanism授權條款直接寫進智能合約,使用條件透明可追蹤。Licensing terms written directly into smart contracts — usage conditions transparent and traceable.

範例Example學術用戶免費取得去識別化資料,但要回傳研究結果;商業用戶支付費用,部分流回社群。Academic users get de-identified data for free but must return their findings; commercial users pay fees, part of which flows back to the community.

L1

來源主權(Origin Sovereignty)Origin Sovereignty

機制Mechanism透過 IP-NFT 與鏈上憑證,為早期貢獻留下數位戳記。A digital provenance stamp for early contributions, via IP-NFT and on-chain attestation.

範例Example病友社群作為早期推動者被永久記錄 —— 不被寫出研究歷史。Patient communities are permanently recorded as early drivers — not written out of the research history.

已經有專案在做 —— Molecule 與 VitaDAO 的生技 IP-NFT · Ocean Protocol 的 compute-to-data · CESS 的可程式化資料基礎設施。Already in practice — biotech IP-NFTs from Molecule and VitaDAO · Ocean Protocol's compute-to-data · CESS's programmable data infrastructure.

DeSci 仍是
進行中的實驗。
DeSci is still
an experiment in progress.

一份過度推銷的入門指南幫不到任何人。DeSci 真正的考驗是,能不能在開放與合規之間找到平衡 —— 所以限制要被同等重視。An over-hyped onboarding guide helps no one. DeSci's real test is whether it can balance open access with compliance — so the limits deserve equal weight.

01

法規限制Regulatory limits

醫療、基因、個資都受嚴格監管。智能合約可以記錄授權與流程,但不能取代法律合規。Medicine, genetics, and personal data are tightly regulated. Smart contracts can record licensing and process, but they don't replace legal compliance.

02

治理能力不足Governance capacity

投票人數變多,不等於決策變好。科學有專業門檻,投票若只反映情緒,治理結果未必支持有價值的研究。More voters doesn't mean better decisions. Science has an expertise threshold; if votes only reflect sentiment, governance won't necessarily back the research that matters.

03

機構採用緩慢Slow institutional adoption

醫院、大學、藥廠都有既有流程。沒有明確誘因,新工具很難取代舊系統。Hospitals, universities, and pharma all have entrenched processes. Without clear incentives, new tools rarely displace old systems.

04

研究本身高風險Research is high-risk

分散資助不等於消除風險。多數早期假說會失敗 —— 投資敘事可能掩蓋這一點。Distributed funding doesn't remove risk. Most early hypotheses fail — and an investment narrative can obscure that.

05

再集中風險Recentralization risk

少數平台、錢包或技術團隊,可能在治理看似開放的同時悄悄重新集中控制權。A handful of platforms, wallets, or technical teams can quietly reconcentrate control even while governance looks open.

從旁觀者到
穩定貢獻者。
From bystander to
steady contributor.

沒有什麼考試要先通過。參與是分階段的,每一階都會留下一份可指認的紀錄。There's no exam to pass first. Participation is staged, and each stage leaves a record you can point to.

階段一Stage 1

觀察者Observer

讀文件、跟隨社群,在動手之前先建立一張領域地圖。Read the docs, follow the community, and map the field before you touch anything.

階段二Stage 2

貢獻者Contributor

領任務、加入討論、完成 bounty,賺到第一份激勵。Pick up tasks, join the discussion, finish a bounty, and earn your first incentive.

階段三Stage 3

穩定輸出Consistent Output

提案、做研究或營運,成為其他人依靠的節點。Propose, do research, or run operations — become a node others rely on.

信任由三個維度同時建立 —— 鏈上足跡(Snapshot、Grants),聲譽(論壇與線下),以及任何人都能查證的可驗證紀錄Trust is built on three dimensions at once — an on-chain footprint (Snapshot, Grants), reputation (forums and IRL), and a verifiable record anyone can check.

開放貢獻不是志工,
也不是被剝削。
Open contribution isn't volunteering,
and it isn't exploitation.

DAO 的貢獻是可累積的職涯資本(career capital)。在公開場合做,它會複利成一份未來合作者或雇主可以查證的紀錄。DAO contributions are career capital that compounds. Done in the open, they grow into a record future collaborators or employers can verify.

Grants

申請 DeSci 募資輪 —— Gitcoin Grants、RetroPGF,以及資助早期工作的小額補助。Apply to DeSci funding rounds — Gitcoin Grants, RetroPGF, and small grants that fund early work.

DAO 角色DAO Roles

從一次性任務,進入 DAO 的核心營運席位,或成為支薪貢獻者。Move from one-off tasks into a core operating seat in a DAO, or a paid contributor role.

Web3 與研究工作Web3 & Research Jobs

把公開的紀錄當作 portfolio,打開 Web3 與研究相關工作的門。Use your public record as a portfolio to open doors to Web3 and research roles.

共建公共財Build a Public Good

幫忙建立華語 DeSci 公共財,並把這個社群連到全球生態。Help build a Chinese-language DeSci public good, and connect this community to the global ecosystem.

以太坊 DeSci 生態的
入口節點。
An entry node in
Ethereum's DeSci ecosystem.

DeSci 自學手冊是給全球 DeSci 入門用的開放基礎設施 —— 連結研究者、學術與科研社群的建設者、以及跨界營運者的穩定節點。The DeSci Onboarding Hub is open infrastructure for global DeSci entry — a stable node connecting researchers, builders in academic and scientific communities, and cross-boundary operators.

它扮演一座橋 —— 接通對 Web3 不信任的圈子,以及傳統學界較少重視的領域。三個要打破的誤解:It acts as a bridge — to circles that distrust Web3, and to fields traditional academia undervalues. Three misconceptions to break:

  • rug pull 與詐騙 —— 最常見的聯想,也是第一個要正面處理的。Rug pulls and scams — the most common association, and the first to address head-on.
  • 只是加密貨幣投機 —— 重點是 permissionless 的研究本身,不是代幣價格。Just crypto speculation — the point is permissionless research itself, not token prices.
  • 跟我無關 —— 對傳統學者來說,DeSci 能讓他們做那些一直想做卻做不成的事。Not my problem — for traditional academics, DeSci enables what they always wanted to do but couldn't.

為科學
建立開放的基礎設施。
Build open infrastructure
for science.

這只是開始。This is just the beginning.

DeSci 自學手冊正在透過 Artizen Season 6 募資。支持這份提案,等於資助一份開放、多語的入門指南 —— 以及維護它的社群。The DeSci Onboarding Hub is raising through Artizen Season 6. Backing it funds an open, multilingual onboarding guide — and the community that maintains it.

1讀完手冊,看看你會從哪裡開始Read the handbook and see where you'd start
2在 Artizen Season 6 支持這份提案Back the proposal on Artizen Season 6
3認領一個章節、案例,或翻譯Claim a chapter, a case study, or a translation