Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
4Unique collaborators
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5079322290
ORCID evidence
Observed aliases (1)
- Blair R. Costelloe (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Innovation: 1 paper
Claim outcomes
- Research Productivity: 1 paper
- Adoption Rate: 1 paper
- Firm Productivity: 1 paper
- Governance And Regulation: 1 paper
- Innovation Output: 1 paper
- Market Structure: 1 paper
- Other: 1 paper
- Employment: 1 paper
- Output Quality: 1 paper
- Task Allocation: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| AI for ecology has moved beyond simple automation to produce methodological advances and tangible conservation value when computer scientists and ecologists collaborate closely. To realize scientific and policy impact, projects must couple technical innovation with ecological relevance, shared data infrastructure, and long-term partnerships.semantic_scholar | Blair R. Costelloe orcid |
Fetched 2026-03-18 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.