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Advancing purpose-driven AI through DIKWP, semantic mathematics and artificial-consciousness research.
Professor, Hainan University · WACA Chair · WAAC President
What should intelligence understand, why should it act, and how can we make its decisions accountable? My research develops Data–Information–Knowledge–Wisdom–Purpose (DIKWP) into typed semantic graphs, computational transformations and open research systems. The ambition is to connect machine capability with human purpose—and turn that connection into something people can study, build and use.
Explore the research · See the impact · Find a project · Discuss collaboration
| Open research portfolio | Research areas | Profile languages |
|---|---|---|
| 492 public repositories | 12 interconnected fields | 13 language editions |
Inventory checked 27 September 2026. Explore every repository →
New release · 17 September 2026 — DIKWP OpenStudio: China–ASEAN Edition brings 13-language navigation, 12 complete Chinese/English/Vietnamese learning modules, four interactive semantic labs and a student project studio into one open-source toolkit. Download the complete source and open OpenStudio_Offline.html to begin. Automated checks.
Vision, kidney and liver research companions · 2026-09-27: complete source, English handbooks, Chinese entry guides, versioned downloads and online example reports.
| Project | What you can explore |
|---|---|
| VisionWeave · Visual evidence | Explore purpose-conditioned pixel evidence, calibrated models, revisable memory and twelve executable laboratories for A Brief History of Vision. |
| NEPHROGENESIS · Kidney science | Explore 24 experiments, 18 chapter labs, explicit units, model comparisons and replayable DIKWP records for A Brief History of the Kidney. |
| HepatoGenesis · Liver science | Compare structural-history models, solve finite hidden-state policies, inspect physical ledgers and trace corrections for A Brief History of the Liver. |
| OpenStudio · China–ASEAN | Learn with 12 Chinese/English/Vietnamese modules, four semantic labs and a portable student project. |
| PACT · Purpose and permission | Reproduce purpose, permission and evidence checks across 72 paired synthetic scenarios and four deterministic baselines. |
| ASCENT 0.2 · Numerical research | Study bounded numerical experiments, stronger-reference comparisons, explicit adoption, monitoring and rollback. |
| LucidEcon · Contribution and replay | Assess bounded opportunities, replay evidence receipts and allocate agreed contribution pools with exact accounting. |
Compare all 14 guided starting points · Project search, source and downloads
Every project has a detail page with its purpose, distribution format, license, instructions and verification links.
| Where the work connects | Selected evidence |
|---|---|
| International standardization | ISO/IEC TR 25005-2:2025 uses DIKWPA for smart-city case analysis and the data value chain; its bibliography cites Wu–Duan's DIKWP study. Document and clause sources |
| Banking, finance and energy | Patent documents from Shanghai Pudong Development Bank, Ping An International Financial Leasing, Guangdong Power Grid and Hainan Power Grid explicitly use DIKWP. Named applicants, patent numbers and technical passages |
| Academic recognition and professional publication | The team's 2020 Wu Wenjun AI award recognizes DIKW graph work; Duan's team coordinated the DIKWP and artificial-consciousness chapters of the CAAI 2024 white-paper series. Institutional records |
| Independent international research | LETI quality-management research builds with DIKWP; PeopleTec-affiliated authors cite two Duan coauthored evaluation studies; TechPolicy.Press connects Purpose and semantic sovereignty to AI governance. Read the source trail |
| Books and ideas | Published books connect semantic mathematics, artificial consciousness, active medicine and the intention economy, including titles from Xidian University Press, Peking University Press and China Science and Technology Press. Books, ISBNs and publications |
These connections are made visible through their precise relationship: methodological use, patent-document use, authorship, citation or publication. Industrial collaboration opportunities are developed separately below.
DIKWP offers a research agenda for the agent era: represent what a system treats as data, how it constructs meaning, which knowledge supports a decision, what values it weighs and whose purpose it serves. These resources form an interacting network; Purpose can redirect interpretation and can itself be revised.
The distinctive contribution is the systematic graph formalization and computation of DIKW/DIKWP resources, with a public patent lineage extending back to 2017. Foundations and patent portfolio · 2017 research record
AWS, Alibaba Cloud and Huawei publish architectures or patent descriptions connecting semantic resources, reasoning and action. Their technical overlap with this research creates concrete opportunities for interoperability, comparative evaluation and joint research. Industrial connections and co-creation opportunities → The comparison identifies technical convergence; it does not announce a partnership with those companies.
| You are here to… | Begin here |
|---|---|
| Research or teach | Research brief · Publications · Citation guide |
| Build and evaluate | First experiment · 492-project directory |
| Explore industry collaboration | Industry connections · Patent portfolio · Written proposal |
| Write, interview or share | Impact overview · Ready-to-use introductions · Chinese research and essays |
Official website · Research portal · Google Scholar · DBLP · ResearchGate · WAAC
Follow the research. Run an experiment. Bring a problem worth solving. Star the projects you find useful, cite the work you build on, and begin collaboration with a written question or proposal.