Lifecycle: { "status": "2026 decisions completed", "edition": "2026", "cadence": "annual", "duration": "normally 1 year", "renewable": null, "dates": { "deadline": "2026-04-15T23:59:00+08:00", "decision": "2026-05" } } Funding and benefits: { "cash": { "amount": null, "currency": "CNY", "scope": "amount determined in project agreement" }, "benefits": [ "DiDi real-world research scenarios", "industry collaboration" ] } Eligibility and filters: { "countries": "China academic ecosystem", "applicant": "qualified scholar/researcher; maximum two topic applications", "fields": [ "large models", "ML and optimization", "autonomous driving", "security", "job-profile research" ], "exclusions": [] } Application: { "opens": null, "deadline": "2026-04-15T23:59:00+08:00", "decision": "2026-05", "start": null, "end": null, "url": "https://www.ccf.org.cn/Collaboration/Enterprise_Fund/News/dd/2026-03-30/869376.shtml", "materials": [ "research-fund application", "topic proposal" ], "selection_stages": [ "expert review of innovation, feasibility and application value", "amount fixed in award agreement" ] } Past editions and people: { "people": { "program_leaders": [ { "name": "CCF–DiDi Big Data Joint Laboratory", "role": "program owner" } ], "latest_recipients": [], "past_recipients": [], "coverage": "No complete named recipient roster was published in the reviewed source." }, "history": { "launched": 2017, "editions": [], "statistics": [ { "metric": "projects supported since 2017", "value": "more than 100" } ] } } Known evidence gaps: [ "public per-project amount", "2026 selected scholar roster" ] Source conflicts: []