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
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5009098941
ORCID evidence
Observed aliases (2)
- Thibault Schrepel (openalex, provider refresh)
- Thibault Schrepel (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Innovation: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Consumer Welfare: 1 paper
- Innovation Output: 1 paper
- Market Structure: 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 |
|---|---|---|---|
| Digital markets compete on innovation and algorithms, not just price, and traditional antitrust tests miss these dynamics. Computational antitrust — combining simulations, structural inference, and large-scale platform data — can improve merger review and remedies if regulators secure data access and technical capacity.openalex | Thibault Schrepel provider id |
2026-07-30 | 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.