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
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5105107753
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Pratichi Dash (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Inequality: 1 paper
- Innovation: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Consumer Welfare: 1 paper
- Decision Quality: 1 paper
- Fiscal And Macroeconomic: 1 paper
- Ai Safety And Ethics: 1 paper
- Governance And Regulation: 1 paper
- Inequality: 1 paper
- Research Productivity: 1 paper
- Skill Acquisition: 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 financial technologies and AI‑driven advice are widening access to investing for women and can improve diversification and long‑term outcomes; however, persistent digital literacy gaps, selection effects, and potential algorithmic bias mean gains are uneven and not yet proven over the long run.openalex | Pratichi Dash provider id |
2026-03-07 | 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.