AI-native scientific governance Problem first

Route the world's most important scientific problems to the right people, students, and capital.

AISci.fans organizes papers, researchers, young talent, virtual labs, and commercialization opportunities into one dynamic map. AI expands the search radius; human experts make the final judgment.

128 frontier problems
620 research signals
42 virtual labs
New bottleneck Autonomous wet-lab validation
Young talent Replication proof-of-work
Frontier Problems

Frontier scientific problem library

Talent Discovery

Young talent should be discovered by proof, not by school names.

Research Passport

YX
Yuna Xu Protein design · Shanghai · 19
92
  • Paper replication4 accepted
  • Open benchmarkTop 3%
  • Expert review2 endorsements
  • Code qualityAudited

Open Challenges

Hidden Talent Signals

Independent replication
Cross-field synthesis
Benchmark improvement
Technical writing
Virtual Labs

Let top scientists organize global students around research agendas.

Recruiting

AI Drug Discovery Lab

From target discovery to wet-lab validation, place publishable research and company-forming assets in the same workflow.

12 apprentices 5 open tasks
Expert needed

Autonomous Materials Lab

Build an interdisciplinary cohort around synthesis feasibility, experimental robotics, and materials property prediction.

7 apprentices 9 open tasks
Funding gap

Verifiable AI Safety Lab

Connect theory, formal verification, evaluation, and engineering auditability to find safety mechanisms that can actually ship.

18 apprentices 6 open tasks
Capital Layer

VCs should see evidence that a problem is nearing commercialization, not just buzzwords.

Translation Opportunities

Protein binder design platforms Evidence: new benchmarks, wet-lab partners, repeatable design loops
AI-native materials foundries Evidence: automated synthesis pipelines, property prediction, hardware demand
Research agent infrastructure Evidence: lab workflow automation, dataset curation, evaluation demand

Risk Matrix

TechnicalMedium RegulatoryHigh IPMedium TeamLow
Atlas Agent

Daily automation for the AISci science intelligence layer.

Daily · 08:30 JST

Today's Queue

  1. Scan arXiv, bioRxiv, medRxiv, patents, GitHub, conference updates
  2. Score new frontier problems by scientific and commercial importance
  3. Detect hidden young talent through public proof-of-work
  4. Draft virtual lab proposals and VC diligence memos

Output Schema

Problem Card Researcher Node Talent Signal Lab Proposal Capital Memo Source Trail